JP2021043306A - Electronic apparatus, sound reproduction method, and program - Google Patents

Abstract

To provide an electronic apparatus with which it is possible for a user to naturally practice a listening lesson while listening to a pronounced portion that includes a phoneme which the user is not good at, without being obstructed from hearing the entire text.SOLUTION: If set to a hard-to-catch pronunciation listening mode when reproducing, for example, discretionarily selected English voice data, a pronunciation element hard for a user to catch which is discretionarily selected or registered to a table in advance is specified. A pronunciation timing that corresponds to a hard-to-catch pronunciation element in the voice data to be reproduced is specified on the basis of the position of a phonetic symbol added to text data that corresponds to the voice data, or the voice data is specified by voice recognition and a reproduction section of voice data of a pronunciation portion that includes the pronunciation timing of the specified hard-to-catch pronunciation element is specified. In the reproduction section of a pronunciation portion of the voice data to be reproduced that includes the pronunciation timing of the hard-to-catch pronunciation element, the reproduction speed is slowly switched and the speech rate is converted when reproduced.SELECTED DRAWING: Figure 4

Description

The present invention relates to, for example, an electronic device, a voice reproduction method, and a program for reproducing voice data including pronunciation that the user is not good at.

For example, in a learning device such as a language learning machine, there is a function of reproducing voice data of pronunciation by a native speaker of the language to be learned. The user can learn listening by selecting an arbitrary text from various texts such as words, idioms, and sentences, and listening to the voice data corresponding to the text.

In the conventional learning device, the playback speed of the entire voice data (from the beginning to the end) corresponding to the selected text is changed, and the user can learn by listening to the voice data slowly or quickly.

In addition, in order to practice listening to the pronunciation of "L" and "R", which are generally not good for Japanese people, we use dedicated voice data in which the playback speed is changed in the pronunciation section including the phoneme. , A learning device for English phonemes "L" and "R" capable of practicing listening is considered (see, for example, Patent Document 1).

Japanese Unexamined Patent Publication No. 2004-334164

Conventionally, in a learning device for practicing listening to the pronunciation of a phoneme that is not good at it, it is necessary to use dedicated voice data including the phoneme that is not good at it (“L”, “R”, etc.).

Therefore, in the conventional learning device, when the user is listening to the voice data of an arbitrary text, for example, it is not possible to practice listening to the pronunciation portion including the phonemes that the user is not good at.

The present invention has been made in view of such a problem, and an electronic device that enables a user to practice listening to a pronunciation portion including a phoneme that is naturally weak, without hindering the user from listening to the entire text. It is intended to provide equipment, audio reproduction methods, and programs.

The electronic device according to the present invention is
Equipped with a processor
The processor
Identify the pronunciation elements to be learned and
In the audio data to be reproduced, a part of the reproduction section including the specified sounding element is specified as the target section.
During the reproduction of the audio data, the reproduction state in the specified target section is changed with respect to the reproduction state of another reproduction section.
It is configured as follows.

The figure which shows the appearance structure of the learning support apparatus 10 which concerns on embodiment of the electronic device of this invention. The block diagram which shows the structure of the electronic circuit of the learning support apparatus 10. It is a figure which shows an example of the phonetic symbols of a plurality of phonemes which a user is not good at, which is described in the weak pronunciation table (22 g) divided into three language levels. The flowchart which shows the voice reproduction processing (1) of 1st Embodiment of a learning support apparatus 10. The flowchart which shows the audio selection process (S1) included in the audio reproduction process (1). The flowchart which shows the weak pronunciation element identification process (S3) included in the voice reproduction process (1). The flowchart which shows the pronunciation timing specification process (S4) included in the voice reproduction process (1). The flowchart which shows the speech speed conversion section setting method specification process (S5) included in the voice reproduction process (1). Compare the normal playback timing of the voice data to be played back according to the voice playback process (1) with the playback timing of changing the playback speed according to the pronunciation part of the pronunciation element that is not good and converting the speech speed to play. The figure shown. The flowchart which shows the voice reproduction processing (2) of the 2nd Embodiment of a learning support apparatus 10. The flowchart which shows the speech speed conversion sounding section identification process (A4) included in the voice reproduction process (2). The normal playback timing of the voice data of two words including two similar phonemes according to the voice playback process (2) and the playback speed are changed according to the pronunciation part of the similar phonemes to convert the speech speed and play the data. The figure which shows in comparison with the reproduction timing.

Hereinafter, embodiments of the present invention will be described with reference to the drawings.

FIG. 1 is a diagram showing an external configuration of a learning support device 10 according to an embodiment of the electronic device of the present invention.

The electronic device is configured as a learning support device 10 (electronic dictionary in the embodiment) dedicated to learning support described below, or is a tablet-type PDA (personal digital assistant) or PC (personal computer) having a learning support function. , Mobile phones, electronic books, portable game machines, etc.

The learning support device 10 is configured to include a foldable case in which the main body case 11 and the lid case 12 can be deployed / closed via the hinge portion 13. On the surface of the main body case 11 in which the foldable case is unfolded, [Home] key 14a, function specification key 14b, character input key 14c, [translation / decision] key 14d, [back / list] key 14e, cursor key 14f, A key input unit (keyboard) 14 including a [shift] key 14g, a [voice] key 14S, and the like, an audio output unit (including a speaker) 15, and an audio input unit (including a microphone) 16 are provided.

Further, a touch panel type display unit (display) 17 is provided on the surface of the lid case 12. The touch panel type display unit 17 has a structure in which a touch position detection device for detecting a position touched by a user with a pen or a finger and a display device are integrated, and a transparent touch panel is superimposed on a backlit color liquid crystal display screen. It is composed.

Then, at the right end of the touch panel type display unit 17, there are keys and functions for performing a touch operation for pressing some keys in the key input unit 14 and designating some functions of the learning support device 10. A touch key area 17A on which notations ([home], [voice], [translation / decision], etc.) are fixedly printed is provided.

The function designation key 14b of the key input unit 14 is a dictionary content ([large dictionary], etc.) written on each key, a category of dictionary content ([national language], [old language], [Kanwa], [English-Japanese], etc.), and learning content. It is a key for directly specifying each of the categories ([Learning 1] and [Learning 2]), [Content list], and one category [Learning book] of the tool.

Further, the keys of the key input unit 14 are described in a frame instead of the key function described in the key top without a frame by being continuously operated after the [shift] key 14g is operated. It can function as a key. For example, when the [Translate / Enter] key 14d is operated (hereinafter referred to as [Shift] + [Enter] key) after the operation of the [Shift] key 14g, the function of registering the data designated as the registration target. It becomes the [Registration] key to start. The [Shift] + [Delete] keys are the [Settings] keys.

Both the [voice] key 14S of the key input unit 14 and the [voice] touch key BS of the touch key area 17A output voice data corresponding to the contents of the text and items displayed on the touch panel type display unit 17. It is a key to activate the voice playback function for.

For example, as shown in FIG. 1, according to the headword search of the English-Japanese dictionary, the headword explanation screen GE of the headword "establish" is displayed on the touch panel display unit 17, and the [voice] key 14S (or [voice] is displayed. ] Touch key BS) to activate the voice playback function. Then, when the heading word "establish" on the heading word explanation screen GE is selected as the playback target and highlighted (identified display) h, the [translation / decision] key 14d is operated to select the heading word "establish". The voice data corresponding to "establish" (reading out the heading word "establish", for example, native voice data) is reproduced and output from the voice output unit 15.

When the learning support device 10 of the present embodiment reproduces voice data based on the voice reproduction function, the pronunciation of phonemes that the user is not good at with the voice data (for example, the pronunciation corresponding to “sh” [∫] of “establish”). When is included, the reproduction section of the audio data corresponding to the sounding portion including the phoneme that is not good at the above is specified, and the reproduction speed of the audio data in the specified reproduction section is changed (for example, slowed down). It has a function to convert the speech speed and play it.

As a result, in the learning support device 10 of the present embodiment, in the process of reproducing the entire voice data selected by the user as the playback target, the user can easily hear the voice data of the sounding portion including the phonemes that the user is not good at. It can be played by changing its playback speed.

FIG. 2 is a block diagram showing a configuration of an electronic circuit of the learning support device 10.

The electronic circuit of the learning support device 10 includes a CPU (processor) 21 which is a computer.

The CPU 21 is a recording medium reading unit 24 from a program (including a learning support processing program 22a and a voice reproduction processing program 22b) stored in advance in a storage unit (storage) 22 such as a flash ROM, or an external recording medium 23 such as a memory card. According to the program read by the user and stored in the storage unit 22, or the program downloaded from the Web server (here, the program server) 30 on the communication network N via the communication unit 25 and stored in the storage unit 22, each circuit unit Control the operation.

A storage unit 22, a recording medium reading unit 24, and a communication unit 25 are connected to the CPU 21 via a data and control bus, and a key input unit 14, a voice output unit 15, a voice input unit 16, and a display unit 17 are connected to the CPU 21. Connecting.

The audio output unit 15 includes a main body speaker 15S that outputs audio based on audio data stored or recorded in the storage unit 22.

The voice input unit 16 includes a main body microphone 16M for inputting voice of a user or the like.

The audio output unit 15 and the audio input unit 16 are provided with a shared external connection terminal (EX) 26, and the user connects the earphone microphone 27 to the external connection terminal 26 as needed.

The earphone microphone 27 has an earphone and a remote control unit 27R provided with a microphone 27m.

The storage unit 22 includes a program storage unit that stores programs (including a learning support processing program 22a and a voice reproduction processing program 22b), a learning content storage unit 22c, a dictionary data storage unit 22d, another content storage unit 22e, and a language. Level data storage unit 22f, weak pronunciation table storage unit 22g, pronunciation change idiom table storage unit 22h, voice reproduction mode data storage unit 22i, speech speed conversion section setting data storage unit 22j, and speech speed conversion reproduction section data storage unit 22k. Be prepared.

The learning support processing program 22a includes a system program that controls the overall operation of the learning support device 10, a program for communicating with an external electronic device via the communication unit 25, and a learning content together with the voice reproduction processing program 22b. A program for executing a learning function corresponding to various content data stored in the storage unit 22c, the dictionary data storage unit 22d, and the other content storage unit 22e is stored.

The voice reproduction processing program 22b is a program for reproducing the audio data to be reproduced selected in response to the user operation, and when reproducing the audio data to be reproduced, the voice data is pronounced as a sound element that the user is not good at. When is included, the playback section of the voice data corresponding to the sounding part including the weak phonetic element is specified, the playback speed of the voice data in the specified playback section is changed, and the speech speed is converted. Includes a program for playback.

The learning content storage unit 22c stores learning content data such as listening lesson data 22c1 and speaking lesson data 22c2, for example.

The listening lesson data 22c1 has, for example, text data corresponding to a word and a sentence as a model of the listening lesson (text data has a pronunciation symbol added) and voice data corresponding to the text data, and is a word or a word or a sentence. It has a function of displaying text data of a sentence on the display unit 17 and outputting voice data from the voice output unit 15.

The speaking lesson data 22c2 has, for example, text data that serves as a model for speaking lessons (text data has a pronunciation symbol added) and voice data corresponding to the text data, and the text data is displayed on the display unit 17. After the voice data is output from the voice output unit 15, the user's voice data input from the voice input unit 16 is analyzed, and a determination result such as correctness is displayed or output by voice.

The dictionary data storage unit 22d stores various dictionary content data such as an English-Japanese dictionary, a Japanese-English dictionary, an English-English dictionary, and a Japanese dictionary, and the dictionary content data is, for example, key-input or voice-input according to a user operation. Based on the entry word that is the target of the dictionary search, it has a function to search the dictionary for the explanatory information corresponding to the entry word and output it by display or voice.

The dictionary content data includes headwords, meanings of headwords, explanatory information including contents, text data such as example sentences including headwords, and audio data corresponding to the text data in each of the various dictionaries. Of these, for example, pronunciation symbols are added to the text data of headwords and example sentences.

The other content storage unit 22e stores other content data such as books, newspapers, magazines, etc. other than the learning content data (22c) and the dictionary content data (22d). The other content data includes text data of each content data and audio data corresponding to the text data.

The language level data storage unit 22f stores the user's language level data as, for example, beginner: 1, intermediate: 2, and advanced: 3. The language level corresponds to when the user's own language level is input and stored according to the user operation, or when the learning function according to the learning content data (22c) or the dictionary content data (22d) is executed. The language level of the user determined by the learning function is automatically updated and stored.

The weak pronunciation table storage unit 22g divides the phonetic symbols of phonemes that the user is not good at and the voice data corresponding to the phonetic symbols into, for example, three levels of language (beginner: 1, intermediate: 2, advanced: 3). Store as an associated table (see FIG. 3).

FIG. 3 is a diagram showing an example of phonetic symbols of a plurality of phonemes that a user is not good at, which is described in a weak pronunciation table (22 g) divided into three language levels.

In the weak phoneme table (22 g) shown in FIG. 3, a plurality of sets of phoneme symbols of two similar phonemes that the user is not good at and difficult to distinguish are described as phoneme symbols that the user is not good at, and the language level. The 1 (beginner) user showed that all the phoneme sets (16 sets) described in the table were similar phonemes that were difficult to distinguish, and the language level 2 (intermediate) user was described in the table. It is shown that the bottom 9 pairs of all phoneme pairs are similar phonemes that are difficult to distinguish, and the user of language level 3 (advanced) can use the bottom 4 pairs of all phoneme pairs described in the table. Indicates that is a similar phoneme that is difficult to distinguish.

The pronunciation change idiom table storage unit 22h is a plurality of pronunciation change words (phrases whose pronunciation changes as compared with the case where a single word is pronounced among words and phrases composed by concatenating a plurality of words such as idioms and phrases. For example, the data of “there is”: “there is” → “there is” and the pronunciation change) is stored as a table. The phonetic change phrase data includes text data of the pronunciation change phrase and voice data corresponding to the text data, and phonetic symbols are added to the text data corresponding to the range of the text whose pronunciation changes (users are not good at it). It is added as a phonetic symbol of a phonetic element).

The voice reproduction mode data storage unit 22i stores data indicating a reproduction mode of voice data (normal reproduction mode, weak pronunciation listening (practice) mode, similar phoneme distinction (practice) mode, etc.). The audio data reproduction mode is selected, for example, according to the user operation.

The speech speed conversion section setting data storage unit 22j sets, in phoneme units, a reproduction section in which the speech speed is converted and reproduced by changing the reproduction speed as a sounding portion including phonemes that the user is not good at in the audio data to be reproduced. Data (speech speed conversion section setting data) indicating the setting method of whether to set in word units or sentence units is stored. The speech speed conversion interval setting data (phoneme unit / word unit / sentence unit) is arbitrarily specified according to the user operation, or is specified according to the language level of the user.

The speech speed conversion reproduction section data storage unit 22k is the reproduction timing from the beginning (start time) to the end (end time) of the audio data to be reproduced (for example, to the end (end time) with the beginning (start time) as 0 msec). In time management (see FIG. 9), the data of the reproduction timing (for example, N msec to M msec) corresponding to the reproduction section of the speech speed conversion specified based on the speech speed conversion interval setting data (22j) is stored. ..

In the learning support device 10 configured in this way, the CPU 21 controls the operation of each part of the circuit according to the instructions described in the learning support processing program 22a and the voice reproduction processing program 22b, and the software and the hardware cooperate with each other. By operating, the voice reproduction function as described in the following operation description is realized.

Next, the operation of the learning support device (electronic dictionary) 10 of the embodiment will be described.

(First Embodiment)
FIG. 4 is a flowchart showing the voice reproduction process (1) of the first embodiment of the learning support device 10.

FIG. 5 is a flowchart showing a voice selection process (S1) included in the voice reproduction process (1).

FIG. 6 is a flowchart showing a weak pronunciation element identification process (S3) included in the voice reproduction process (1).

FIG. 7 is a flowchart showing a sounding timing specifying process (S4) included in the voice reproduction process (1).

FIG. 8 is a flowchart showing a speech speed conversion section setting method specifying process (S5) included in the voice reproduction process (1).

FIG. 9 shows a normal playback timing of the voice data to be played back according to the voice playback process (1), and a playback timing in which the playback speed is changed according to the sounding portion of the sounding element that is not good at the speech speed conversion. It is a figure which shows in contrast with.

In the voice selection process (S1) (see FIG. 5) for selecting the voice data to be reproduced, for example, when the dictionary is selected according to the operation of the function designation key 14b by the user (step S101 (Yes)), the CPU 21 Displays a headword input screen (not shown) for inputting a headword to be searched corresponding to the selected dictionary data on the display unit 17 (step S102).

When the headword to be searched is input in response to the user operation on the headword input screen, the CPU 21 searches the input headword data from the selected dictionary data (step S103) and searches. The display unit 17 displays the headword explanation screen GE (see FIG. 1) in which the headword, its meaning, and the content data are expanded (step S104).

On the headword explanation screen GE, for example, when a text is selected in response to a user's touch operation on the screen GE and the selected text is highlighted (identified display) h (step S105 (Yes)), the CPU 21 moves the CPU 21. The voice data corresponding to the selected text is set as the playback target (step S106).

On the other hand, when the learning content of the listening lesson data 22c1 stored in the learning content storage unit 22c is selected according to the user operation (step S107 (Yes)), the CPU 21 has, for example, the selected learning content. A list of items of words and sentences to be practiced for listening is displayed on the display unit 17 (step S108).

When an arbitrary item is selected from the displayed list of items according to, for example, a touch operation by the user (step S109 (Yes)), the CPU 21 performs voice data of the text of the word or sentence corresponding to the selected item. Is set as the playback target (step S110).

Further, when other content stored in the other content storage unit 22e is selected according to the user operation (step S111 (Yes)), the CPU 21 displays the text data of the selected other content. It is displayed on 17 (step S112).

When any text such as a word or a sentence is selected from the text data of other displayed contents according to, for example, a touch operation of the user (step S113 (Yes)), the CPU 21 selects the selected text. The corresponding audio data is set as the playback target (step S114).

In this way, when the audio data to be reproduced is selected according to the audio selection process (S1), the CPU 21 is in the poor pronunciation listening mode or the normal, based on the reproduction mode data stored in the audio reproduction mode data storage unit 22i. It is determined whether the mode is the playback mode (step S2).

Here, when the normal playback mode is determined (step S2 (No)), the CPU 21 reproduces the audio data to be reproduced from the beginning to the end at the normal reproduction speed according to the normal reproduction speed timing (step S11). ..

On the other hand, when it is determined that the pronunciation listening mode is not good (step S2 (Yes)), the CPU 21 performs a weak pronunciation element identification process (S2) (see FIG. 6) for identifying a pronunciation element (phoneme) that the user is not good at. Move to.

When the process shifts to the weak pronunciation element identification process, the CPU 21 either arbitrarily identifies the pronunciation element that the user is not good at, automatically identifies it according to the language level of the user, or changes the pronunciation. The display unit 17 displays an item selection screen for the user to select any item that is automatically specified based on the idiom table (22h).

On the item selection screen, when an item for which the user arbitrarily identifies an element of pronunciation that the user is not good at is selected (step S31 (Yes)), the CPU 21 is, for example, a list of phonetic symbols read from English dictionary data. Is displayed on the display unit 17 (step S32).

In the list of phonetic symbols, when the phonetic symbols of one or more phonemes that the user is not good at are selected according to the user operation (step S33 (Yes)), the CPU 21 determines the phonetic elements of the selected phonetic symbols. Is specified as a weak pronunciation element (step S34).

On the other hand, on the item selection screen, when an item for automatically identifying a pronunciation element that the user is not good at is selected according to the language level of the user (step S35 (Yes)), the CPU 21 is the language level data storage unit 22f. Obtain the data of the user's language level (beginner: 1, intermediate: 2, or advanced: 3) from (step S36), and change the user's language level from the weak pronunciation table (22 g: see FIG. 3). The pronunciation elements of the corresponding plurality of phonetic symbols are specified as weak pronunciation elements (step S37).

Further, on the item selection screen, when an item for automatically identifying a pronunciation element that the user is not good at is selected based on the pronunciation change idiom table (22h) (step S35 (No)), the CPU 21 uses the pronunciation change idiom table. The pronunciation element of the phonetic symbol corresponding to the range of the text whose pronunciation changes, which is associated with the text data of the plurality of pronunciation change words in (22h), is specified as a weak pronunciation element (step S38).

In this way, when the pronunciation element (phoneme) that the user is not good at is specified according to the weak pronunciation element identification process (S3), the CPU 21 performs the reproduction target voice data selected according to the voice selection process (S1). The process shifts to the pronunciation timing specifying process (S4) (see FIG. 7) for specifying the pronunciation timing corresponding to the weak pronunciation element specified according to the weak pronunciation element specifying process (S3).

When the process shifts to the sounding timing specifying process, the CPU 21 determines whether or not a phonetic symbol is added to the text data corresponding to the voice data to be reproduced (step S41).

When the voice data to be reproduced selected according to the voice selection process (S1) is, for example, voice data selected from dictionary data (22d) or learning content data (22c), the text data corresponding to the voice data is used. When it is determined that the phonetic symbol is added (step S41 (Yes)), the CPU 21 determines that the phonetic element identified by the user according to the weak pronunciation element identification process (S3) is the pronunciation change idiom table (22h). It is determined whether or not it has been specified by using (step S42).

The phonetic element that the user is not good at, which is specified according to the weak phonetic element identification process (S3), is not specified by using the pronunciation change idiom table (22h), that is, the phonetic symbol arbitrarily specified by the user. When it is determined that it is a phonetic element or a phonetic element of a phonetic symbol specified from a phonetic symbol (22 g) that is not good according to the language level of the user (step S42 (No)), the CPU 21 determines the sound to be reproduced. Among the data, the pronunciation timing corresponding to the phonetic symbol of the phonetic element that the user is not good at is specified based on the position of the phonetic symbol added to the text data corresponding to the voice data (step S44).

Further, when it is determined that the pronunciation element that the user who is not good at according to the weak pronunciation element identification process (S3) is identified by using the pronunciation change idiom table (22h) (step S42 (Yes)). ), The CPU 21 has a part in the text data corresponding to the voice data to be reproduced that matches the text data of the pronunciation change idiom (pronunciation change phrase) in the pronunciation change idiom table (22h), that is, the reproduction target. It is determined whether the voice data includes a portion whose pronunciation changes as in the pronunciation change phrase (step S43).

When it is determined that the text data corresponding to the voice data to be reproduced has a part that matches the text data of the pronunciation change idiom (pronunciation change phrase) (step S43 (Yes)), the CPU 21 determines the voice data to be reproduced. Among them, the pronunciation timing corresponding to the phonetic symbol of the phonetic element that the user identified by using the pronunciation change idiom table (22h) is set to the position of the phonetic symbol added to the text data corresponding to the voice data. Specify based on (step S44).

On the other hand, when the voice data to be reproduced selected according to the voice selection process (S1) is, for example, voice data selected from other content data (22e), a pronunciation symbol is added to the text data corresponding to the voice data. If it is determined that the data is not added (step S41 (No)), the CPU 21 recognizes the voice data to be reproduced and includes the voice data from the beginning (start time) to the end (end time). It is decomposed into speech section for each of a plurality of speech elements (step S45).

Then, the CPU 21 determines whether or not the pronunciation element that the user is not good at according to the weak pronunciation element identification process (S3) is identified by using the pronunciation change idiom table (22h) (step S46). ..

The pronunciation element that the user is not good at, which is identified according to the weak pronunciation element identification process (S3), is not identified by using the pronunciation change idiom table (22h), that is, the pronunciation symbol arbitrarily specified by the user. When it is determined that it is a pronunciation element or a pronunciation element of a pronunciation symbol specified from a pronunciation table (22 g) that is not good according to the language level of the user (step S46 (No)), the CPU 21 performs step S45. It is determined whether or not there is a phoneme section that matches the phoneme data of the unfavorable pronunciation element specified from the arbitrary or weak pronunciation table (22 g) in the sound data to be reproduced decomposed into the phoneme sections (step S49).

When it is determined that there is a phoneme section in the audio data to be reproduced that matches the audio data of the unfavorable pronunciation element specified from the arbitrary or weak pronunciation table (22 g) (step S49 (Yes)), the CPU 21 determines. , The pronunciation timing of the phoneme section that matches the speech data of the weak pronunciation element specified from the arbitrary or weak pronunciation table (22 g) in the voice data to be reproduced is specified (step S48).

Further, when it is determined that the pronunciation element that the user who is not good at according to the weak pronunciation element identification process (S3) is identified by using the pronunciation change idiom table (22h) (step S46 (Yes)). ), Does the CPU 21 have a phoneme section that matches the phoneme data of the sounding element that the CPU 21 is not good at identified from the pronunciation change idiom table (22h) in the voice data to be reproduced decomposed into phoneme sections in step S45? Is determined (step S47).

When it is determined that there is a phoneme section in the voice data to be reproduced that matches the voice data of the sounding element that is not good at being identified from the pronunciation change idiom table (22h) (step S47 (Yes)), the CPU 21 determines. In the voice data to be reproduced, the pronunciation timing of the phoneme section that matches the voice data of the poor pronunciation element specified from the pronunciation change idiom table (22h) is specified (step S48).

In this way, when the pronunciation timing corresponding to the pronunciation element (phoneme) that the user is not good at in the voice data to be played back is specified according to the pronunciation timing specifying process (S4), the CPU 21 causes the voice data to be played back to be played. Of these, whether the playback section to be played by changing the playback speed and converting the speech speed as the pronunciation part including the pronunciation timing of the pronunciation element (phoneme) that the user is not good at is set in phoneme units or word units. The process shifts to the speech speed conversion section setting method specifying process (S5) (see FIG. 8) for setting in sentence units or specifying the setting method.

When the process shifts to the speaking speed conversion section setting method specifying process, the CPU 21 either arbitrarily specifies the setting method of the speaking speed conversion section by the user, or automatically specifies the setting method according to the language level of the user. Setting method for the user to select a specific item The display unit 17 displays the setting method specific item selection screen.

When an item for which the user arbitrarily specifies the setting method is selected on the setting method specific item selection screen (step S51 (Yes)), the CPU 21 sets the playback section to be reproduced by converting the speech speed in phoneme units. A list of setting methods for setting in word units or sentence units is displayed on the display unit 17 (step S52).

In the list of setting methods, when any of phoneme unit, word unit, and sentence unit setting method is selected according to the user operation (step S53 (Yes)), the CPU 21 talks about the selected setting method. It is specified as a method for setting the speed conversion section, and is stored in the speech speed conversion section setting data storage unit 22j (step S54).

On the other hand, when an item to be automatically specified is selected according to the language level of the user on the setting method specific item selection screen (step S51 (No)), the CPU 21 performs the language level of the user from the language level data storage unit 22f (step S51 (No)). The data of beginner level: 1, intermediate level: 2, or advanced level: 3) is acquired (step S56).

Then, the method of setting the speech speed conversion section is specified as <sentence unit> when the user's language level is (beginner: 1) (step S56 → S57a), and when it is (intermediate: 2). It is specified as <word unit> (step S56 → S57b), and if it is (advanced: 3), it is specified as <phoneme unit> (step S56 → S57c) and stored in the speech speed conversion section setting data storage unit 22j. Let me.

Based on the speech speed conversion section setting method specified according to the speech speed conversion section setting method specifying process (S5), the CPU 21 reproduces the voice data to be reproduced including the pronunciation timing of the pronunciation element (phoneme) that the user is not good at. The section is specified (step S6).

For example, as shown in FIG. 9A, the audio data to be reproduced selected in the audio selection process (S1) is an English word selected from the learning content data (22c) or the dictionary data (22d). The pronunciation element that is the voice data corresponding to "think" and is not good for the user identified according to the weak pronunciation element identification process (S3) is the pronunciation of the pronunciation symbol [θ] corresponding to the "th" of the English word "think". The pronunciation timing, which is an element (phonetic element) and is specified according to the pronunciation timing specifying process (S4), is the pronunciation timing of 0 to 100 msec in the voice data “think”, and is according to the speech speed conversion section setting method specifying process (S5). When the specified method of setting the speech speed conversion section is <phone unit unit>, the CPU 21 sets the playback section including the pronunciation element (phone element) [θ] that the user is not good at in the voice data “think” to be played. It is specified as 0 to 100 msec, which is a <speech unit>, and is stored in the speech speed conversion reproduction section data storage unit 22k (step S6).

The CPU 21 starts normal playback of the voice data “think” to be played back from the voice output unit 15 (step S7), and the playback section of the voice data “think” is changed to the speech speed conversion playback section data storage unit 22k. It is determined whether or not the reproduction section is 0 to 100 msec, which is the target of the stored speech speed conversion (step S8).

Then, in a state where it is determined that the reproduction section of the voice data “think” is the reproduction section 0 to 100 msec to be converted in speech speed (step S8 (Yes)), the CPU 21 is in the state (A) (A) of FIG. As shown in B), for the sounding part corresponding to "th" of the voice data "think", the playback speed is slowed down (here, 2.7 times slower) to change and the speech speed is converted and played back (here). Step S9a).

Further, in a state where the reproduction section of the voice data “think” is determined to be a reproduction section of 100 to 400 msec, which is not a reproduction section of 0 to 100 msec to be converted in speech speed (step S8 (No)), the CPU 21 is shown in FIG. As shown in (A) and (B) of the above, the pronunciation portion corresponding to "ink" of the voice data "think" is reproduced by switching the reproduction speed to the normal reproduction speed without converting the speech speed (step S9b). ..

Then, when it is determined that all the reproduction of the audio data “think” (0 to 400 msec) to be reproduced has been completed (step S10 (Yes)), the CPU 21 ends a series of audio reproduction processes (1).

As a result, the voice data "think" to be played back is switched at a slower playback speed in the playback section of the sounding part including the phonetic element (phoneme) corresponding to the phonetic symbol [θ] of "th", which the user is not good at. Since it is quickly converted and played back, it is possible for the user to practice listening to the pronunciation part including phonemes that he or she is not naturally good at without hindering the listening of the entire voice data "think" to be played back. Become.

Here, an example in which the voice data to be reproduced is a word and the setting method of the speaking speed conversion section specified by the speaking speed conversion section setting method specifying process (S5) is <phoneme unit> has been described. However, the voice data to be played is a sentence consisting of a plurality of words (for example, an example sentence "Where do you think she lives?" Including the English word "think"), and the method of setting the speech speed conversion section is <word unit>. When specified as, the playback section of "think", which is a word-based pronunciation part including the pronunciation element (phoneme) [θ] that the user is not good at in the voice data "Where do you think she lives?" Is specified (see (A) in FIG. 9), and the playback speed is slow (for example, in the playback section of the word “think” in “Where do you think she lives?”, Which is the entire audio data to be played back. (2.7 times slower) is switched and the speech speed is converted and reproduced, and the reproduction sections of other words are reproduced at the normal reproduction speed without the speech speed conversion (steps S8, S9a, S10).

According to this, the voice data of the English word “think” including the pronunciation element (phoneme) [θ], which the user is not good at, is reproduced as compared with the case where the setting method of the speech speed conversion section is <phoneme unit>. It can be played more easily by the user than other words contained in the target sentence.

Further, the voice data to be reproduced selected in the voice selection process (S1) is, for example, voice data of a sentence in which a plurality of sentences selected from other contents (22e) are connected, and the speech speed conversion section is set. When the method is specified as <sentence unit>, it is a sentence unit pronunciation part having a word containing a pronunciation element (phonetic element) [θ] that the user is not good at in the speech data (sentence in this case) to be reproduced. The playback section of the sentence is specified. Then, the reproduction speed is slow (for example, 2.7 times slower) in the reproduction section of the sentence having the word containing the pronunciation element (phoneme) [θ] which is not good in the sentence which is the whole voice data to be reproduced. It is switched and the speech speed is converted and reproduced, and the reproduction sections of other sentences are reproduced at the normal reproduction speed without the speech speed conversion (steps S8, S9a, S10).

According to this, a word containing a pronunciation element (phoneme) [θ] that the user is not good at is compared with the case where the method of setting the speech speed conversion section is <phoneme unit> and the case where <word unit> is used. The voice data of the sentence can be reproduced more easily by the user than other sentences included in the sentence to be reproduced.
In addition, when a phrase is composed by connecting a plurality of words and the sound changes in a portion where the plurality of words are continuous, the pronunciation portion of the plurality of words can be easily heard.

In the pronunciation timing specifying process (S4) described with reference to FIG. 7, when it is determined that the voice data to be reproduced does not include a pronunciation portion corresponding to a pronunciation element that the user is not good at (step S43 (step S43). No) / S47 (No) / S49 (No)) does not specify a playback section for which the speech speed is converted in the voice data, so that the voice data is played back at a normal playback speed in the entire playback section. (Steps S5 to S8 (No), S9b, S10, end).

According to the voice reproduction processing (1) of the first embodiment of the learning support device 10 configured as described above, the user arbitrarily selects from the dictionary data (22d), the learning content data (22c), and the like, for example, English. When the voice data corresponding to the text data of is played, if the voice playback mode (22i) is set to the poor pronunciation listening mode, the user can arbitrarily select it from the list of phonetic symbols or is not good at it. The phonetic elements of phonetic symbols that the user is not good at, which are registered in the phonetic table (22 g) and the phonetic change idiom table (22h), are specified.

Then, the pronunciation timing corresponding to the pronunciation element that is not good in the voice data to be reproduced is specified based on the position of the phonetic symbol added to the text data corresponding to the voice data, or the voice data is voice-recognized. It is specified by decomposing into the phonetic sections that compose the same voice data and determining the phonetic section that matches the voice data of the phonetic element that is not good at it. The playback section of is specified.

Then, normal reproduction of the audio data to be reproduced is started, and in the reproduction section of the pronunciation portion including the pronunciation timing of the pronunciation element which is not good at the audio data, the reproduction speed is switched slowly and the speech speed is converted and reproduced. ..

This makes it possible for the user to practice listening to the pronunciation part including phonemes that the user is naturally not good at, without hindering the listening of the entire text selected by the user.

Further, according to the voice reproduction process (1) of the first embodiment of the learning support device 10, the reproduction section of the pronunciation portion including the pronunciation timing of the pronunciation element which is not good in the audio data to be reproduced is arbitrarily selected by the user. It is specified according to the setting method (<phoneme unit> or <word unit> or <sentence unit>) of the speech speed conversion section, which is specified according to the language level (22f) of the user.

Therefore, for example, when the user is an advanced language expert, only the pronunciation part of the phoneme including the pronunciation element (phoneme) that the user is not good at is specified as the playback section to be the target of speech speed conversion in the voice data to be played. In addition, for example, when the user is an intermediate language person or a beginner language person, the whole word or the whole sentence is spoken as a pronunciation part including a pronunciation element (phoneme) that the user is not good at in the voice data to be reproduced. Since it is specified as the playback section to be converted, it is easy for the user to hear and effective for learning the pronunciation part of the voice data including the pronunciation element (phoneme) that the user is not good at, depending on the language level of the user. It can be played by specifying it in a wide range.

As described above, in the voice reproduction process (1) of the first embodiment, when the audio data to be reproduced is reproduced, the reproduction section of the pronunciation portion including the pronunciation element (phoneme) that the user is not good at is specified. , The embodiment in which the reproduction speed of the specified reproduction section is slowly switched (changed) and reproduced has been described.

Hereinafter, in the voice reproduction process (2) of the second embodiment, the voice data of two words (which may be compound words, phrases, etc.) including two similar pronunciation elements (phonemes) are reproduced, and the user uses the similar phonemes. When practicing to distinguish between the two words, the playback section of the pronunciation part containing two similar pronunciation elements (phonemes) is specified in the voice data of each of the two words, and the playback speed of the specified playback section is changed slowly. An example of speed conversion and reproduction will be described.

(Second Embodiment)
FIG. 10 is a flowchart showing the voice reproduction process (2) of the second embodiment of the learning support device 10.

FIG. 11 is a flowchart showing a speech speed conversion sounding section specifying process (A4) included in the voice reproduction process (2).

FIG. 12 shows the normal playback timing of the voice data of two words including two similar phonemes according to the voice reproduction process (2), and the speech speed conversion by changing the playback speed according to the sounding portion of the similar phonemes. It is a figure which shows in comparison with the reproduction timing which is reproduced.

When the voice reproduction process (2) is started in response to the user operation, the CPU 21 sets the reproduction mode as a listening mode for similar phonemes based on the reproduction mode data stored in the audio reproduction mode data storage unit 22i. (Step A1).

When it is determined that the mode is for distinguishing similar phonemes (step A1 (Yes)), the CPU 21 is not good at the user and is difficult to distinguish, which is described in, for example, a weak pronunciation table (22 g: see FIG. 3). The phonetic symbol sets (16 sets) of two similar phonemes are displayed in a list on the display unit 17, and the user is made to select the phonetic symbol sets of two similar phonemes to be distinguished (step A2).

Here, as a set of phonetic symbols of two similar phonemes to be distinguished, a set of phonetic symbols divided into language level 1 (beginner) of the weak pronunciation table (22 g) ([∫]: [θ]) Suppose that is selected.

The CPU 21 selects voice data including two similar phonemes to be selected and distinguished (step A3).

Here, each phoneme is included from the dictionary data (22d) or the learning content data (22c) based on the phonetic symbols ([∫]: [θ]) of two similar phonemes selected in step A2. It is assumed that the phoneme data corresponding to the two words (“sink” and “think”) are selected.

Then, the CPU 21 shifts to the speech speed conversion pronunciation section identification process (A4: see FIG. 11), and targets the voice data corresponding to the two selected words (“sink” and “think”), and each voice is targeted. The pronunciation timing corresponding to a similar pronunciation element ([∫]: [θ]) in the data is specified, and the voice data of the part corresponding to the specified pronunciation timing is subjected to speech speed conversion processing at a slower playback speed. ..

That is, when the process shifts to the speech speed conversion pronunciation section identification process (A4), the CPU 21 first determines whether or not the two voice data selected as the distinction targets are similar voices, for example, for each voice data. Judgment is made based on the degree of matching of the phonetic symbols added to the text to be used (step A41).

When the two voice data selected as the distinction target are voice data corresponding to two words (“sink” and “think”), they are similar based on the degree of matching of the phonetic symbols corresponding to each voice data. When it is determined that the sound is voice (step A41 (Yes)), the CPU 21 recognizes each of the two voice data, and ends from a start time of 0 msec, for example, as shown in (A1) and (B1) of FIG. It is decomposed into the sounding timing (0-100-170-270-400 msec) of each phoneme section constituting the time up to 400 msec (step A42).

Then, comparing the two voice data, the pronunciation timing corresponding to the phoneme section of the difference (“s” [∫] part of “sink” and “th” [θ] part of “think”) (0-100 msec) is specified, and as shown in (A2) and (B2) of FIG. 12, the reproduction speed of the audio data of the portion corresponding to the specified sounding timing is slowed down (here, 2.7 times slower). ) To perform the speech speed conversion process (step A43).

On the other hand, when it is determined that the two voice data selected as the objects to be distinguished are not similar voices (step A41 (No)), the CPU 21 uses the phonetic symbols of the selected similar phonemes in each of the two voice data. The pronunciation timing corresponding to ([∫]: [θ]) is specified, and the voice data of the portion corresponding to the specified pronunciation timing is subjected to the speech speed conversion process by slowing down the reproduction speed (step A44).

The CPU 21 follows the speech speed conversion sound section identification process (A4), and as shown in (A2) and (B2) of FIG. 12, of the two voice data (“sink” and “think”) that have been subjected to the speech speed conversion process. , One audio data "sink" and the other audio data "think" are reproduced in order (steps A5 and A6).

Here, the CPU 21 may process the one audio data "sink" and the other audio data "think" to be reproduced each time they are sequentially specified by the user, or may be processed to automatically reproduce the audio data "sink" in sequence. You may.

According to the voice reproduction process (2) of the second embodiment of the learning support device 10 configured as described above, two words (may be compound words, phrases, etc.) containing two similar pronunciation elements (phonemes), respectively. When the voice data is selected as the voice data to be discriminated, the reproduction section of the pronunciation portion including two similar pronunciation elements (phonemes) is specified in the voice data of each of the two words, and the specified reproduction section is specified. The playback speed of is changed slowly and the speech speed is converted and played.

As a result, in reproducing voice data such as two English words including two similar pronunciation elements (phonemes) that the user is not good at hearing, the user can easily hear the part of the similar pronunciation element (phoneme). Therefore, it becomes possible to practice distinguishing effectively.

In the voice reproduction processing of the first and second embodiments by the above learning support device 10, when reproducing the audio data to be reproduced, the pronunciation portion including the pronunciation element (phoneme) that the user is not good at or is to distinguish. At the timing of specifying the playback section of the above and switching the playback speed of the specified playback section slowly and the timing of switching to the original normal playback speed, the playback speed is gradually switched to give the user a sense of discomfort in listening. You may process it so that it does not exist.

Further, in the audio reproduction processing of the first and second embodiments, the reproduction speed of the audio data to be reproduced is switched slowly (change) in a specific reproduction section including a pronunciation element (phoneme) which the user is not good at or is to be distinguished. By doing so, the pronunciation part including the pronunciation element (phoneme) that the user is not good at or is to be distinguished is reproduced so that the user can easily hear it, and the user can practice effectively.

On the contrary, by quickly switching (changing) the playback speed of a specific playback section of the voice data to be played back, the user can select the pronunciation part including the pronunciation element (phoneme) that the user is not good at or is to distinguish. The playback may be difficult to hear, and may be configured so that, for example, a user with a high language level can practice effectively.

Furthermore, the user is not good at playing the audio data to be played back by changing the playback volume of the specific playback section to a large or small value and emphasizing the playback, instead of changing the playback speed of the specific playback section. It may be configured to practice listening to the pronunciation part including the pronunciation element (phoneme) to be distinguished.

Each processing method by the electronic device (learning support device 10) described in each of the above embodiments, that is, the voice reproduction processing (1) of the first embodiment shown in the flowcharts of FIGS. 4 to 8, FIGS. 10 and 11. Each method such as the sound reproduction processing (2) of the second embodiment shown in the flowchart is a memory card (ROM card, RAM card, etc.) and a magnetic disk (floppy (registered trademark)) as programs that can be executed by a computer. ) Disks, hard disks, etc.), optical disks (CD-ROM, DVD, etc.), semiconductor memories, etc. can be stored and distributed in external recording device media. Then, the computer (CPU) of the electronic device reads the program recorded in the medium of the external recording device into the storage device, and the operation is controlled by the read program, so that the audio reproduction described in each of the above-described embodiments It is possible to realize the function and execute the same processing by the above-mentioned method.

Further, the data of the program for realizing each of the above methods can be transmitted on the communication network (N) in the form of a program code, and is transmitted from a computer device (program server) connected to the communication network (N). It is also possible to take the data of the program into an electronic device and store it in a storage device to realize the above-mentioned voice reproduction function.

The present invention is not limited to each of the above-described embodiments, and can be variously modified at the implementation stage without departing from the gist thereof. Further, each of the above-described embodiments includes inventions at various stages, and various inventions can be extracted by an appropriate combination of a plurality of disclosed constituent requirements. For example, even if some constituent requirements are deleted from all the constituent requirements shown in each embodiment or some constituent requirements are combined in different forms, the problems described in the section of the problem to be solved by the invention Can be solved and the effects described in the section on the effects of the invention can be obtained, the configuration in which this constituent requirement is deleted or combined can be extracted as the invention.

The inventions described in the claims of the original application of the present application are described below.

[Appendix 1]
Equipped with a processor
The processor
Identify the pronunciation elements to be learned and
In the audio data to be reproduced, a part of the reproduction section including the specified sounding element is specified as the target section.
During the reproduction of the audio data, the reproduction state in the specified target section is changed with respect to the reproduction state of another reproduction section.
An electronic device that is configured to.

[Appendix 2]
The processor
Plays the audio data corresponding to the text arbitrarily specified by the user as the playback target,
When the learning mode is set, the reproduction state in the specified target section is changed with respect to the reproduction state of another reproduction section, and when the learning mode is not set, the audio data Play the whole in the same playback state,
The electronic device according to Appendix 1, which is configured as described above.

[Appendix 3]
The processor
During the reproduction of the audio data, the audio reproduced in the specified target section is emphasized more than the audio reproduced in the other reproduction section, or the reproduction speed in the specified target section is set to another reproduction. Slower than the playback speed of the section,
The electronic device according to Appendix 1 or Appendix 2, which is configured as described above.

[Appendix 4]
The processor
In the specified target section, the reproduction speed is changed by the speech speed conversion that changes the reproduction speed without changing the pitch.
The electronic device according to any one of Supplementary note 1 to Supplementary note 3 configured as described above.

[Appendix 5]
The processor
When the text to be reproduced contains a word, the first process of specifying the pronunciation part of a part of the pronunciation element included in the word as the target section, and
When the text to be reproduced contains a sentence, the second process of specifying the pronunciation part of some words included in the sentence as the target section, and
Third process of specifying the pronunciation part of a part of the sentence included in the sentence as the target section when the text to be reproduced is a sentence.
Perform at least one of the processes,
The electronic device according to any one of Supplementary note 1 to Supplementary note 4, which is configured as described above.

[Appendix 6]
The processor
Let the user select one of the first process, the second process, and the third process.
The electronic device according to Appendix 5.

[Appendix 7]
With the display
With storage,
The processor
The phonetic element to be learned is specified by the user by selecting it from a plurality of phonetic symbols displayed on the display, or is specified based on the data of the phonetic element that is stored in the storage in advance and is not good for the user. To do,
The electronic device according to any one of Supplementary note 1 to Supplementary note 6 configured as described above.

[Appendix 8]
The storage stores text data associated with voice data, and stores the text data.
The processor
It is configured to display the text of the text data stored in the storage on the display.
The voice data to be reproduced is voice data corresponding to a text arbitrarily selected by the user from the text displayed on the display.
The electronic device according to Appendix 7.

[Appendix 9]
The processor
A reproduction section including the specified weak pronunciation element of the voice data is specified as a phoneme unit, a word unit, or a sentence unit reproduction section including a phoneme as the weak pronunciation element.
The electronic device according to Appendix 7 or Appendix 8, which is configured as described above.

[Appendix 10]
The processor
The user is allowed to select a phoneme-based, word-based, or sentence-based playback section that includes a phoneme as a pronunciation element that he / she is not good at, and the user selects and specifies the phoneme-based, word-based, or sentence-based selection item displayed on the display. Or identify according to the user's language level data stored in the storage,
The electronic device according to Appendix 9.

[Appendix 11]
The data of the pronunciation element that is not good to be stored in advance in the storage is the pronunciation change phrase whose pronunciation changes as compared with the case where the word is pronounced alone among the words and phrases composed by concatenating a plurality of words. It is the data of the pronunciation element of the part where the pronunciation changes,
The electronic device according to Appendix 7 or Appendix 8.

[Appendix 12]
The processor
The reproduction speed of the audio data in the specified reproduction section is changed to be slower than the reproduction speed in the other than the specified reproduction section.
The electronic device according to any one of Supplementary note 1 to Supplementary note 11 configured as described above.

[Appendix 13]
The processor
Identify the two pronunciation elements that are the subject of listening practice,
When reproducing the voice data of two words including the two specified pronunciation elements, the reproduction section including the two pronunciation elements of each of the two voice data is specified.
The reproduction speed of the two audio data in each of the specified reproduction sections is changed.
The electronic device according to any one of Supplementary note 1 to Supplementary note 12, which is configured as described above.

[Appendix 14]
Depending on the processor of the electronic device
Identify the pronunciation elements to be learned and
In the audio data to be reproduced, a part of the reproduction section including the specified sounding element is specified as the target section.
During the reproduction of the audio data, the reproduction state in the specified target section is changed with respect to the reproduction state of another reproduction section.
How to play audio.

[Appendix 15]
Electronic processor,
Identify the pronunciation elements to be learned and
In the audio data to be reproduced, a part of the reproduction section including the specified sounding element is specified as the target section.
During the reproduction of the audio data, the reproduction state in the specified target section is changed with respect to the reproduction state of another reproduction section.
A program to make it work like this.

10 ... Learning support device (electronic device)
14 ... Key input section (keyboard)
14S ... [Voice] key BS ... [Voice] Touch key 15 ... Audio output unit 15S ... Main unit speaker 17 ... Touch panel display unit (display)
21 ... CPU (processor)
22 ... Storage unit
22a ... Learning support processing program 22b ... Voice reproduction processing program 22c ... Learning content storage unit 22d ... Dictionary data storage unit 22e ... Other content storage unit 22f ... Language level data storage unit 22g ... Bad pronunciation table storage unit 22h ... Pronunciation change idiom Table storage unit 22i ... Voice reproduction mode data storage unit 22j ... Speaking speed conversion section setting data storage unit 22k ... Speaking speed conversion reproduction section data storage unit 23 ... External recording medium 24 ... Recording medium reading unit 25 ... Communication unit 27 ... Earphone microphone 30 ... Web server (program server)
N ... Communication network (Internet)

Claims (15)

Equipped with a processor
The processor
Identify the pronunciation elements to be learned and
In the audio data to be reproduced, a part of the reproduction section including the specified sounding element is specified as the target section.
During the reproduction of the audio data, the reproduction state in the specified target section is changed with respect to the reproduction state of another reproduction section.
An electronic device that is configured to. The processor
Plays the audio data corresponding to the text arbitrarily specified by the user as the playback target,
When the learning mode is set, the reproduction state in the specified target section is changed with respect to the reproduction state of another reproduction section, and when the learning mode is not set, the audio data Play the whole in the same playback state,
The electronic device according to claim 1, which is configured as described above. The processor
During the reproduction of the audio data, the audio reproduced in the specified target section is emphasized more than the audio reproduced in the other reproduction section, or the reproduction speed in the specified target section is set to another reproduction. Slower than the playback speed of the section,
The electronic device according to claim 1 or 2, which is configured as described above. The processor
In the specified target section, the reproduction speed is changed by the speech speed conversion that changes the reproduction speed without changing the pitch.
The electronic device according to any one of claims 1 to 3, which is configured as described above. The processor
When the text to be reproduced contains a word, the first process of specifying the pronunciation part of a part of the pronunciation element included in the word as the target section, and
When the text to be reproduced contains a sentence, the second process of specifying the pronunciation part of some words included in the sentence as the target section, and
Third process of specifying the pronunciation part of a part of the sentence included in the sentence as the target section when the text to be reproduced is a sentence.
Perform at least one of the processes,
The electronic device according to any one of claims 1 to 4, which is configured as described above. The processor
Let the user select one of the first process, the second process, and the third process.
The electronic device according to claim 5, which is configured as described above. With the display
With storage,
The processor
The phonetic element to be learned is specified by the user by selecting it from a plurality of phonetic symbols displayed on the display, or is specified based on the data of the phonetic element that is stored in the storage in advance and is not good for the user. To do,
The electronic device according to any one of claims 1 to 6, which is configured as described above. The storage stores text data associated with voice data, and stores the text data.
The processor
It is configured to display the text of the text data stored in the storage on the display.
The voice data to be reproduced is voice data corresponding to a text arbitrarily selected by the user from the text displayed on the display.
The electronic device according to claim 7. The processor
A reproduction section including the specified weak pronunciation element of the voice data is specified as a phoneme unit, a word unit, or a sentence unit reproduction section including a phoneme as the weak pronunciation element.
The electronic device according to claim 7 or 8. The processor
The user is allowed to select a phoneme-based, word-based, or sentence-based playback section that includes a phoneme as a pronunciation element that he / she is not good at, and the user selects and specifies the phoneme-based, word-based, or sentence-based selection item displayed on the display. Or identify according to the user's language level data stored in the storage,
The electronic device according to claim 9. The data of the pronunciation element that is not good to be stored in advance in the storage is the pronunciation change phrase whose pronunciation changes as compared with the case where the word is pronounced alone among the words and phrases composed by concatenating a plurality of words. It is the data of the pronunciation element of the part where the pronunciation changes,
The electronic device according to claim 7 or 8. The processor
The reproduction speed of the audio data in the specified reproduction section is changed to be slower than the reproduction speed in the other than the specified reproduction section.
The electronic device according to any one of claims 1 to 11, which is configured as described above. The processor
Identify the two pronunciation elements that are the subject of listening practice,
When reproducing the voice data of two words including the two specified pronunciation elements, the reproduction section including the two pronunciation elements of each of the two voice data is specified.
The reproduction speed of the two audio data in each of the specified reproduction sections is changed.
The electronic device according to any one of claims 1 to 12, which is configured as described above. Depending on the processor of the electronic device
Identify the pronunciation elements to be learned and
In the audio data to be reproduced, a part of the reproduction section including the specified sounding element is specified as the target section.
During the reproduction of the audio data, the reproduction state in the specified target section is changed with respect to the reproduction state of another reproduction section.
How to play audio. Electronic processor,
Identify the pronunciation elements to be learned and
In the audio data to be reproduced, a part of the reproduction section including the specified sounding element is specified as the target section.
During the reproduction of the audio data, the reproduction state in the specified target section is changed with respect to the reproduction state of another reproduction section.
A program to make it work like this.

Images