JP2006209069A - Voice section detection device and program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a voice section detection device which can efficiently detect a voice section with a comparatively small computation amount under a noisy environment. <P>SOLUTION: The voice section detection device smoothes the volume of voice data to compute a first variation (S106 and S108), smoothes the variation of the first variation to compute a second variation (S110 and S112), compares the second variation with a threshold value to determine whether it is a voice or not for each frame (S114), and determines a voice section from a continuous length of a frame which is determined to be a voice or not to be a voice (S116). <P>COPYRIGHT: (C)2006,JPO&NCIPI

Description

  The present invention relates to a configuration of a speech segment detection device and a speech segment detection program for detecting a speech segment from sampled speech data.

For example, there is VOX (Voice Operated Transmitter) as a voice processing technology such as mobile communication. Here, VOX is a technique for turning ON / OFF the transmission signal output according to the presence or absence of sound. For example, a signal is transmitted only when a sound is detected, and a signal is transmitted when there is no sound around the device. This is to perform processing such as not to perform power saving of the transmission unit (see, for example, Patent Document 1).
JP 2004-272052 A Specification

  However, the conventional method tends to increase the amount of calculation when trying to detect a speech section with high accuracy. In a noisy environment, a method for efficiently detecting a speech section with a relatively small amount of calculation is as follows. The situation was not necessarily established.

  The present invention has been made to solve the above-described problems, and an object of the present invention is to detect a voice section that can efficiently detect a voice section with a relatively small amount of calculation in a noisy environment. An apparatus and a voice segment detection program are provided.

  In order to achieve such an object, the speech section detection device of the present invention calculates frame processing means for performing frame segmentation processing on sampled speech data, and the volume of the speech data as the first variation. The first fluctuation calculating means, the second fluctuation calculating means for calculating the fluctuation of the first fluctuation as the second fluctuation, and comparing the second fluctuation with a predetermined threshold value to determine whether the voice or non-voice is determined. Frame determination means that is performed every time, and speech section determination means that determines a speech section based on the result determined to be speech and non-speech.

  Preferably, the first variation calculation means calculates the first variation by smoothing the volume of the audio data.

  Preferably, the second fluctuation calculating means calculates the second fluctuation by smoothing the fluctuation of the first fluctuation.

  Preferably, the speech segment determining means determines the speech segment from the continuation length of the frame determined to be speech or non-speech.

  Preferably, the speech segment determining means excludes a speech segment that does not satisfy the predetermined duration from the speech segment among frames determined to be speech segments.

  Preferably, the speech segment determining means is sandwiched between speech segments, and a non-speech segment having a predetermined duration or less is combined with the speech segments at both ends to form one speech segment.

  According to another aspect of the present invention, there is provided a speech segment detection program for causing a computer having an arithmetic processing unit, a speech input device, and a storage device to perform speech segment detection, which is sampled by the speech input device and stored in the storage device. A step of performing frame cut-out processing on the stored audio data, a step of the arithmetic processing unit calculating the volume of the audio data as the first variation, and the arithmetic processing unit determining the variation of the first variation as the second variation. And a step in which the arithmetic processing unit compares the second variation with a predetermined threshold value to determine voice or non-speech for each frame; And causing the computer to execute a step of determining a speech section based on the determined result.

  Preferably, the step of calculating as the first variation calculates the first variation by smoothing the volume of the audio data.

  Preferably, the step of calculating as the second variation calculates the second variation by smoothing the variation of the first variation.

  Preferably, in the step of determining the voice section, the voice section is determined from the continuation length of the frame determined to be voice or non-voice.

  Preferably, in the step of determining the speech segment, a speech segment that does not satisfy the predetermined duration is excluded from the speech segment among the frames determined as the speech segment.

  Preferably, the step of determining the voice section is sandwiched between the voice sections, and the non-voice section having a predetermined duration or less is combined with the voice sections at both ends to form one voice section.

Embodiments of the present invention will be described below with reference to the drawings.
[Embodiment 1]
(System configuration of the present invention)
FIG. 1 is a conceptual diagram showing an example of the configuration of a speech segment detection apparatus 1000 according to the present invention.

  Referring to FIG. 1, audio section detection apparatus 1000 receives audio input, samples audio data, and converts the audio data sampling unit 102 to digital data, and the audio sampled by audio data sampling unit 102. Temporary storage unit 104 for temporarily storing data for later processing, arithmetic unit 106 for performing arithmetic processing for voice segment detection on audio data stored in temporary storage unit 104, and arithmetic unit And a data storage unit 108 for storing voice data determined as a voice section by 106.

  In the speech segment detection apparatus 1000 shown in FIG. 1, the speech segment detection by the calculation unit 106 is executed to determine whether or not to store data in the data storage unit 108. However, the speech segment detection method of the present invention is not limited to such a case, and the speech segment detection can also be used as a criterion for performing other processes. For example, it can be used as a criterion for determination such as preprocessing of audio processing or whether or not to transmit audio signals as described above.

  The calculation unit 106 includes a frame processing unit 1062 that performs frame processing on the audio data stored in the temporary storage unit 104 (a process of sequentially applying a certain window to the time series of the audio data), and whether or not the audio is determined for each frame. A voice section detection unit 1064 for determining whether the voice is detected and detecting a voice section.

  Although not particularly limited, for example, a well-known voice input system in a computer can be used for the voice data sampling unit 102, and the function of the calculation unit 106 is executed by a CPU (Central Processing Unit) of the computer by software. It is also possible to realize by the function to do.

  Of course, the function of the arithmetic unit 106 can also be realized by dedicated hardware (semiconductor integrated circuit).

  FIG. 2 is a flowchart for explaining processing performed by the frame processing unit 1062 and the voice section detection unit 1064 shown in FIG. 1, and FIG. 3 is a conceptual diagram showing processing of the flowchart of FIG.

  Hereinafter, with reference to FIG. 2 and FIG. 3, operation | movement of the audio | voice area detection apparatus 1000 of this invention is demonstrated. Hereinafter, the speech segment detection algorithm of the present invention is referred to as a “VSD (Variance Speech Detection) algorithm”.

  As will be described below, the VSD algorithm compares voice signal fluctuation (power) fluctuation with a threshold value to determine voice or non-voice for each frame, and determines voice and non-voice. This is an algorithm for determining a speech section from the continuation length of the frame.

  Referring to FIGS. 2 and 3, first, the following audio data is sampled by audio data sampling section 102 (step S100).

  Subsequently, the following audio frame is cut out by the frame processing unit 1062 (step S102).

  Further, filtering processing for emphasizing the high frequency component of the frequency is performed for each frame by the speech section detection unit 1064 (step S104). A function for performing such filtering processing is represented by FILTER (...).

In this way, for each frame that has been subjected to high-frequency emphasis, the speech section detection unit 1064 performs processing for calculating the first variation ν _f of speech according to the following equation (step S106). The first variation means “variation” of audio data (= sound volume (volume), corresponding to power), and the value increases for a loud sound and decreases for a small sound. A function for calculating such fluctuation is represented by VARIANCE (...).

  As described above, the first variation is not limited to the amount corresponding to the sum of the absolute values of the differences between the sampled audio signals and the average value. For example, the first variation is an amount corresponding to the sum of squares of such differences. It is good. That is, as described above, other functions can be used as long as the function is a large value for a sound signal sequence of a loud sound and a small value for a sound signal sequence of a low sound. It is also possible to use.

Further, the speech section detection unit 1064 calculates the first smoothed variation by the median smoothing process that takes the median value of the smoothing window length M as follows for the first variation ν _f (step S108).

With respect to the smoothed first variation obtained in this way, the speech section detection unit 1064 further calculates the variation in speech variation, that is, the second variation w _f as follows (step S110). ). The second variation means “variation” (= change in power) of the sound volume (volume), and the value increases as the volume increases or decreases, and the volume does not change. The case gets smaller.

  In addition to the second variation obtained in this way, the speech section detection unit 1064 performs median smoothing that takes the median value of the smoothing window length L as follows, and thereby smoothed the second variation. Calculation is performed (step S112).

  By comparing the “smoothed second variation” obtained in this way with a predetermined threshold value H as follows, the speech section detection unit 1064 can perform speech / non-speech for each frame. Voice determination is performed (step S114). For such a threshold value H, an appropriate value is determined in advance through experiments.

  In this way, after preliminarily determining the voice segment and the non-speech segment for each frame, the voice segment detection unit 1064 has the voice and non-speech frame durations according to the following determination conditions. Then, the voice section is determined (step S116).

  That is, the optimum speech section is determined by applying the following condition to the temporary speech section obtained by the threshold comparison.

    Condition (1): A voice segment that does not satisfy the minimum required duration is not allowed as a voice segment. Such “minimum required continuation length” is not particularly limited, but for example, a predetermined value can be “100 msec or more”.

    Condition (2): A non-speech segment that is sandwiched between speech segments and satisfies a continuation length to be treated as a continuous speech segment is combined with the speech segments at both ends to be one speech segment. Such a “continuation length to be treated as a continuous speech segment” is not particularly limited, but for example, a predetermined value can be “500 msec or less”.

    Condition (3): A certain number of frames, which are determined as non-speech because the variation value is small, are added to the speech section. Such a “certain number” may be 97 frames, for example.

  In the above description, media smoothing is described as an example of the smoothing process, but other methods may be used as the smoothing process.

  Through the processing as described above, it is possible to efficiently detect a speech section with a relatively small amount of calculation in a noisy environment.

  In other words, as a feature of the voice used by the VSD algorithm to determine voice / non-speech, “one feature of language voice” means that the volume (power) changes in units of relatively short time. Is mentioned. In the VSD algorithm, paying attention to this feature, the value of the fluctuation of voice is used to extract the amount of change in power.

  Furthermore, the reason why the VSD algorithm can efficiently detect a speech section under noise is that there is relatively little volume variation in silence or environmental noise, and the volume is almost constant or the volume change rate is slow. There are many. Such a feature is contrary to the feature of the voice that the VSD algorithm intends to detect. Thus, relatively stationary noise can be distinguished from speech regardless of its volume. In addition, noise with a large volume change often has a shorter duration than voice. Such a feature can be distinguished from a voice segment by a voice segment determination operation based on the duration.

  FIGS. 4 to 7 are diagrams showing temporal changes in fluctuations calculated by the VSD algorithm for the utterance content “Ah”.

  4 represents a first variation, FIG. 5 represents a first smoothed variation, FIG. 6 represents a second variation, and FIG. 7 represents a second smoothed variation. The vertical axis represents intensity, and the horizontal axis represents time.

  As for the utterance content “Ah”, it can be seen that the second variation is significantly attenuated in the long vowel constant portion. In the silent state, the smoothed second variation is almost zero, and therefore it can be seen that if a certain threshold value is used for the second variation, a frame serving as a speech segment can be identified.

  However, since the second variation is significantly attenuated in the long vowel regular portion, the speech section can be correctly detected by further using the above conditions (1) to (3).

  FIG. 8 to FIG. 11 are diagrams showing temporal changes of fluctuations calculated by the VSD algorithm for the utterance content “Don't care” (sample used in FIG. 3).

  8 represents the first variation, FIG. 9 represents the first smoothed variation, FIG. 10 represents the second variation, and FIG. 11 represents the second smoothed variation. The vertical axis represents intensity, and the horizontal axis represents time.

  With respect to the utterance content “OK”, it can be seen that the second variation is significantly attenuated in the long vowel constant portion. Then, it can be seen that, except for the vicinity of the ending, if a certain threshold value is used for the smoothed second variation, a frame that becomes a speech segment can be identified.

However, since the second variation is attenuated in the vicinity of the ending portion, the speech section can be correctly detected by using the above conditions (1) to (3).
[Embodiment 2]
In the second embodiment, the analysis result of the input voice signal is displayed to the user using the configuration of the voice section detection apparatus 1000 described in the first embodiment, while the user performs voice section detection. The configuration of the speech segment analysis apparatus 2000 provided with an interface capable of setting the operation parameters of the apparatus will be described.

  FIG. 12 is a functional block diagram for explaining the configuration of speech segment analysis apparatus 2000 according to the second embodiment.

In FIG. 12, the same parts as those in FIG.
Referring to FIG. 12, speech segment analysis apparatus 2000 receives speech input from a microphone (not shown) via input / output interface (hereinafter, “input / output I / F”) 101 and receives speech data. An audio data sampling unit 102 for sampling and converting into digital data, a temporary storage unit 104 for temporarily storing the audio data sampled by the audio data sampling unit 102 for later processing, and a temporary storage unit 104 A calculation unit 106 that performs calculation processing for detecting a voice section on the voice data stored in the voice data, and a data storage unit that stores voice data in association with the determination result of the voice section by the calculation unit 106 108, the operation unit 120 for inputting an instruction from the user, and the voice data stored in the data storage unit 108 are converted into the calculation unit 1 6 under the control of, and converts into an analog audio signal, via the input-output I / F101, and a D / A converter 110 to output to a speaker (not shown). The operation unit 120 includes, but is not limited to, a keyboard and a mouse.

Based on an instruction from the operation unit 120, the calculation unit 106 performs frame processing (audio processing) on the control processing unit 1060 for controlling the operation of the audio section analysis device 2000 and audio data stored in the temporary storage unit 104. A frame processing unit 1062 that performs a process of sequentially applying a certain window to a time series of data), and determines whether each frame is voice or non-voice, detects a voice section, and includes label information indicating a voice section, A voice section detecting unit 1064 for storing voice data in association with each other. Here, based on an instruction from the operation unit 120, the control processing unit 1060 starts recording of the audio input signal, stops recording, and starts reproduction of the audio signal based on the audio data stored in the data storage unit 108. Then, processing such as stop of reproduction output and setting of operation parameters of the frame processing unit 1062 and the voice section detection unit 1064 is performed.
(Label file output function)
Hereinafter, the function of the frame processing unit 1062 will be further described.

  First, in the speech section analysis apparatus 2000, the frame processing unit 1062 has a function of calculating and outputting an elapsed time for each frame from the start of processing by the frame processing unit from the number of frames subjected to frame processing. And

  In response to this, the control processing unit 1060 performs the following processing according to the detection result of the speech section detection unit 1064.

  1) The control processing unit 1060 outputs the elapsed time of the frame determined as the start position of the speech section as the start time of the speech section.

  2) The control processing unit 1060 outputs the elapsed time of the frame determined as the end position of the speech section as the end time of the speech section.

  The control processing unit 1060 stores the start time and end time of the voice section in the data storage unit 1080 as a label file in association with the voice data file.

Although not particularly limited, an output example of the format of the label file can be in the following format, for example.
<Start time [msec]><Label indicating that this time interval is a voice interval><End time [msec]>
Although this is not particularly limited, the function of the arithmetic unit 106 can be realized by a function executed by a CPU (Central Processing Unit) of the computer by application software. Hereinafter, software for realizing such a function is referred to as “audio recording / listening application with audio section detection function”. Such application software can be installed and executed on a general personal computer or the like as long as hardware for audio capture and audio output is implemented.

At this time, for example, if the data storage unit 108 is a hard disk and the temporary storage unit 104 is a RAM (Random Access Memory), the application software executed by the arithmetic unit 106 is stored on a recording medium. Then, it is read into a personal computer by a drive device (not shown) and stored in a hard disk.
(Audio recording audition application with audio section detection function: basic screen)
Next, the above-described “audio recording / listening application with audio section detection function” will be described.

  FIG. 13 is a diagram for explaining a basic screen of “audio recording / listening application with audio section detection function” output on display device 140.

  In the initial state, nothing is displayed in the audio waveform display window 1410. In this state, when a “recording start button” on the screen is clicked by operating the mouse of the operation unit 120, the control processing unit 1060 starts reading audio waveform data from an audio input device such as a microphone.

  Subsequently, as shown in FIG. 13, the read voice waveform data is displayed on the voice waveform display window 1410 on the display unit 140 by the processing of the control processing unit 1060. The display method is as follows: 1) All the audio waveform data read after the “Recording stop button” is clicked may be displayed at once. 2) The reading starts when the “Recording start button” is clicked. The images may be displayed sequentially from the right edge of the window little by little at intervals.

  In the calculation unit 106, the voice waveform data read from the temporary storage unit 104 is transmitted to the voice section detection unit 1064. The timing of transmission is as follows: 1) All the audio waveform data read after the “Recording stop button” is clicked may be read from the temporary storage unit 104 and delivered at once. 2) The “Recording start button” is clicked. Then, at the same time when reading is started, the data may be sequentially transferred at predetermined intervals.

  The level meter 1420 in the voice waveform display window 1410 visualizes and displays the smoothed second fluctuation that is compared with a threshold value and becomes a reference value for voice / non-voice judgment. A “threshold bar” is displayed at a position about 1/3 from the bottom in the level meter. The display color is changed between the case where the threshold is exceeded and the case where

  The level meter 1420 transmits voice waveform data sequentially to the voice section detection unit 1064 during recording, and the control processing unit 1060 receives the second variation value sequentially smoothed from the voice section detection unit 1064. validate.

  The level meter 1420 is also effective when audio waveform data is reproduced. The smoothed second variation value that is visualized and displayed on the “level meter” during playback is as follows: 1) The data stored in the data storage unit 108 at the time of executing the voice segment detection process is displayed in synchronization with the playback. Alternatively, 2) what is received by the control processing unit 1060 after the voice section detection unit 1064 sequentially re-executed the voice section detection processing in synchronization with the reproduction may be displayed.

  The control processing unit 1060 receives the voice segment detection result from the voice segment detection unit 1064 via the data storage unit 108. The timing of reception is as follows: 1) After the voice segment detection process is completed, all the voice segment information may be received at once. 2) The voice segment start / end is received while receiving the voice / non-voice judgment result for each frame. Information may be received sequentially.

  The control processing unit 1060 displays the speech segment information received from the speech segment detection unit 1064 in the speech waveform display window 1410. The display method may be 1) display only the start / end position of the speech section, or 2) display the speech / non-speech information determined for each frame by changing the background color. .

  When the recording stop button is clicked, the control processing unit 1060 stops reading audio waveform data from an audio input device such as a microphone. Further, when the playback button is clicked, the control processing unit 1060 outputs the read audio waveform data to an audio output device such as a speaker and reproduces it.

  Note that when the audio waveform data is reproduced, the control processing unit 1060 dynamically displays the reproduction position in the waveform on the audio waveform display window 1410 by a color change or the like.

  In addition, using a mouse or other instruction input device, after dragging an arbitrary section in the audio waveform display window 1410 (clicking the left button of the mouse at the beginning of the section to be selected to the end of the section to be selected) If you click the “Play button” after selecting (by releasing), only the selected section will be played. The section selection in the voice waveform display window 1410 cannot be operated until the recording is completed (stopped). When a selected section release operation (such as clicking the left button of the mouse) is performed in the audio waveform display window 1410, the selected section can be released.

  The “menu screen” is displayed by using the mouse or the like (by clicking the right button of the mouse) in an arbitrary section selected in the voice waveform display window 1410 using the mouse or other instruction input device. By calling, operations such as playback and saving can be performed on the selected section.

  Further, in the voice waveform display window 1410 in a state where there is no selected section, a “menu screen” is displayed using an instruction input device such as a mouse in a voice section sandwiched between “speech section start position” and “speech section end position”. Can be used to perform operations such as playback and saving. The menu display in the voice section in the voice waveform display window 1410 cannot be called until the recording is finished (stopped) and the voice section detection process is finished.

  When the “set button” is clicked, the control processing unit 1060 sets “various parameters” of the voice section detection unit 1064 and “setting screen” for setting display / non-display of each variable value display window described later. Call.

  In addition, when the “voice section detection button” is clicked, the control processing unit 1060 transmits the voice waveform data recorded and stored in the data storage unit 108 to the voice section detection unit 1064 to perform voice section detection processing. Try again. The “voice section detection button” cannot be operated until the recording ends (stops).

  When the “time information save button” is clicked, the control processing unit 1060 converts the voice segment start / end position information received from the voice segment detection unit 1064 into an elapsed time with reference to the recording start time, Save as voice segment start / end time file. The “time information save button” cannot be operated until the voice section detection process is completed.

Furthermore, when the “speech section saving button” is clicked, the control processing unit 1060 stores the speech waveform data in all detected speech sections. The “voice section save button” cannot be operated until the voice section detection process is completed. In addition, when the “recorded sound storage button” is clicked, the control processing unit 1060 stores all recorded sound waveform data. The “recorded audio save button” cannot be operated until the recording ends (stops).
(Audio recording audition application with voice segment detection function: setting screen)
FIG. 14 is a diagram illustrating a setting screen that is called when the “setting button” on the basic screen (or each variation value display screen) described in FIG. 13 is clicked.

  As shown in FIG. 14, in the initial state, a predetermined value stored in advance is set as a default.

When the user changes the input value from the operation unit 120 and then clicks the “OK button”, the control processing unit 1060 changes the setting value to be held to the input value, and closes the setting screen. Return to the basic screen (or each fluctuation value display screen). If the “Cancel” button is clicked regardless of whether the value has been changed, the setting screen is closed without changing the setting value to be held, and the basic screen (or each variable value display) is displayed. Screen).
(Audio recording audition application with audio section detection function: extended screen (1))
FIG. 15 is a diagram showing a first extended screen displayed on the display device 140 when “display the smoothed second variation” is set to “display” on the setting screen. On the first extended screen, “display of smoothed second variation and threshold value” is displayed. The first school screen is the same as the operation of the basic screen except that the “smoothed second variation display window” is displayed, and therefore the difference will be described below.

  In the initial state, the control processing unit 1060 displays only the “threshold value” in the smoothed second variation display window 1430.

Upon receiving the smoothed second variation value from the speech section detection unit 1064, the control processing unit 1060 displays this on the smoothed second variation display window 1430. The display method may be 1) display at a time after the speech segment detection process is completed, or 2) when the speech segment detection process is sequentially performed, sequentially in synchronization with the speech segment detection process May be displayed. Note that, when the voice section detection process is performed again, the display content of the smoothed second variation display window 1430 is also updated.
(Audio recording audition application with audio section detection function: extended screen (2))
In the setting screen, all of “display of first variation”, “display of first variation smoothed”, “display of second variation”, and “display of second variation smoothed” are “ It is a figure which shows the 2nd extended screen at the time of being set to "display." That is, “display all variation values” is displayed on the second extended screen.

  As shown in the setting screen, the variable values can be displayed by arbitrarily selecting necessary ones. In principle, except that the “first variation display window”, “smoothed first variation display window”, “second variation display window”, and “smoothed second variation display window” are displayed, It is the same.

  That is, in the initial state, nothing is displayed in “display of first variation”, “display of smoothed first variation”, and “display of second variation”. Only the “threshold value” is displayed in the “smoothed second variation display window”.

  Further, the control processing unit 1060 displays each variation value received from the voice segment detection unit 1064 in each variation display window 1430 to 1460. The display method may be 1) display at a time after the speech segment detection process is completed, or 2) when the speech segment detection process is sequentially performed, sequentially in synchronization with the speech segment detection process May be displayed. Further, when the voice section detection process is re-executed, the display content of each of the fluctuation display windows 1430 to 1460 is also updated.

With such a configuration, the speech segment analysis apparatus 2000 according to Embodiment 2 can perform speech analysis while flexibly executing speech segment detection processing on recorded speech data.
[Embodiment 3]
Next, in the third embodiment, a description will be given of a mode in which the speech segment detection device described in the first embodiment is used in a subsequent speech processing device connected subsequent to the speech segment detection device.

(Connection method 1)
First, FIG. 17 is a functional block diagram for explaining the first connection method. The same parts as those in the first embodiment are denoted by the same reference numerals.

  In FIG. 17, the audio data sampling unit 102, the temporary storage unit 104, and the frame processing unit 1062 are configured to be shared by the audio interval detection unit 1064 of the audio interval detection device and the audio processing unit 200 of the subsequent audio processing device.

  That is, the voice / non-voice information for each frame and the voice section start / end information detected by the voice section detection unit 1064 are transmitted to the voice processing unit 200.

  Subsequently, the speech processing unit 200 performs speech segment of speech waveform data divided into frames based on speech / non-speech information for each frame transmitted from the speech segment detection unit 1064 and start / end information of the speech segment. Audio processing is executed only for the frame portion corresponding to.

  Here, the “speech processing” executed by the speech processing unit 200 is not particularly limited. For example, whether or not to perform speech recognition preprocessing or transmission of a speech signal from the subsequent speech processing apparatus to another device. , For each frame and selectively performing the transmission process.

  In the configuration as shown in FIG. 17, the data transmitted from the voice section detection unit 1064 to the voice processing unit 200 may be only the start / end information of the voice section, and the data transmission amount between them can be suppressed.

  In FIG. 17, the voice section detection device and the subsequent voice processing apparatus share the voice data sampling unit 102, the temporary storage unit 104, and the frame processing unit 1062, but it is not always necessary to share the voice section. The detection device and the subsequent audio processing device may individually include the audio data sampling unit 102, the temporary storage unit 104, and the frame processing unit 1062 in different systems. In this case, since the transmission amount of information from the voice section detection unit 1064 to the voice processing unit 200 is small, even if the voice section detection device and the subsequent voice processing device are separated and installed in a remote place, the transmission speed of the transmission path It is hard to be influenced by. Of course, between the voice input and the voice data sampling unit 102 at this time, it is transmitted between the remote locations as a two-branched analog voice signal to the voice section detecting device and the subsequent voice processing device. In terms of quantity, this is also not significantly affected by the transmission speed of the transmission line.

[Modification 1 of Embodiment 3]
(Connection method 2)
FIG. 18 is a functional block diagram for explaining a second connection method, which is a first modification of the third embodiment. Again, the same parts as those in the first embodiment are denoted by the same reference numerals.

  In FIG. 18, only the speech waveform data of the speech segment detected by the speech segment detection unit 1064 of the speech segment detection apparatus 1000 is transmitted to the frame processing unit 2010 of the subsequent speech processing apparatus 2000 for each speech segment.

  In the subsequent speech processing apparatus 2000, the speech processing unit 200 performs speech processing on the speech waveform data of the speech segment transmitted from the speech segment detection unit 1064 again after the frame processing unit 2010 performs frame processing again.

  With such a configuration, only the transmission of the audio signal is performed between the audio segment detection device 1000 and the subsequent audio processing device 2000, and therefore, the connection portion between the audio interval detection device 1000 and the subsequent audio processing device 2000 The mechanism is simple. For this reason, it is only necessary to connect the speech section detection apparatus 1000 as it is immediately before the frame processing section 2010 of the speech processing apparatus 2000 to the speech processing apparatus 2000 that does not have the speech section detection section 1064 for preprocessing.

[Modification 2 of Embodiment 3]
(Connection method 3)
FIG. 19 is a functional block diagram for explaining a third connection method, which is a second modification of the third embodiment. Again, the same parts as those in the first embodiment are denoted by the same reference numerals.

  In FIG. 19, the speech waveform data obtained by dividing the speech segment detected by the speech segment detection unit 1064 of the speech segment detection device 1000 is transmitted to the speech processing unit 200 of the speech processing device 2000 for each frame.

  The voice processing unit 200 of the voice processing device 2000 performs voice processing on the voice waveform data obtained by dividing the voice section transmitted from the voice section detecting unit 1064 into frames.

  With such a configuration, the mechanism of the connection portion between the speech segment detection device 1000 and the subsequent speech processing device 2000 is relatively simple because it only needs to transmit the speech signal, and the speech segment detection device 1000 And subsequent audio processing apparatus 2000 have no overlapping processing, and processing efficiency is high.

[Modification 3 of Embodiment 3]
(Connection method 4)
FIG. 20 is a functional block diagram for explaining a fourth connection method, which is a third modification of the third embodiment. Again, the same parts as those in the first embodiment are denoted by the same reference numerals.

  In FIG. 20, the voice waveform data divided into frames together with the voice / non-voice information for each frame detected by the voice section detection unit 1064 of the voice section detection apparatus 1000 and the start / end information of the voice section are displayed for each frame. The data is transmitted to the audio processing unit 200 of the processing device 2000.

  The voice processing unit 200 of the voice processing device 2000 classifies the processing method based on the voice / non-voice information for each frame transmitted from the voice section detection unit 1064 and the start / end information of the voice section. Individual speech processing is executed on speech waveform data for each frame transmitted from the speech section detection unit 1064.

  With such a configuration, since the voice section information and the voice waveform data are paired for each frame and transmitted to the voice processing section 200, the voice processing section 200 can subdivide the processing contents using the voice section information. .

  The embodiment disclosed this time should be considered as illustrative in all points and not restrictive. The scope of the present invention is defined by the terms of the claims, rather than the description above, and is intended to include any modifications within the scope and meaning equivalent to the terms of the claims.

It is a conceptual diagram which shows an example of a structure of the audio | voice area detection apparatus 1000 of this invention. 6 is a flowchart for explaining processing performed by a frame processing unit 1062 and a voice section detection unit 1064 shown in FIG. 1. It is a conceptual diagram which shows the process of the flowchart of FIG. It is a figure showing 1st fluctuation | variation about utterance content "ah". It is a figure showing the 1st fluctuation | variation smoothed. It is a figure showing the 2nd fluctuation. It is a figure showing the 2nd fluctuation | variation smoothed. It is a figure showing 1st fluctuation | variation about utterance content "I don't care." It is a figure showing the 1st fluctuation | variation smoothed. It is a figure showing the 2nd fluctuation. It is a figure showing the 2nd fluctuation | variation smoothed. FIG. 10 is a functional block diagram for explaining a configuration of speech segment analysis apparatus 2000 according to the second embodiment. It is a figure for demonstrating the basic screen of "the audio | voice recording audition application with an audio | voice area detection function" output on the display apparatus. It is a figure which shows the setting screen called when the "setting button" of the basic screen (or each variation value display screen) demonstrated in FIG. 13 is clicked. It is a figure which shows the 1st extended screen displayed on the display apparatus 140, when "display of the 2nd smoothing smoothed" is set to "display" on the setting screen. It is a figure which shows the 2nd expansion screen when all the display of each fluctuation | variation is set to "display" on a setting screen. It is a functional block diagram for demonstrating a 1st connection system. It is a functional block diagram for demonstrating a 2nd connection system. It is a functional block diagram for demonstrating a 3rd connection system. It is a functional block diagram for demonstrating a 4th connection system.

Explanation of symbols

  101 Input / Output I / F, 102 Audio Data Sampling Unit, 104 Temporary Storage Unit, 106 Arithmetic Unit, 108 Data Storage Unit, 110 A / D Converter, 1000 Audio Segment Detection Device, 1062 Frame Processing Unit, 1064 Audio Segment Detection Unit 1064, 2000 Voice processing device.

Claims (7)

A speech section detection device,
Frame processing means for performing frame cut-out processing on the sampled audio data;
First fluctuation calculating means for calculating a volume of the audio data as a first fluctuation;
Second fluctuation calculating means for calculating the fluctuation of the first fluctuation as the second fluctuation;
A frame determination unit that performs voice or non-voice determination for each frame by comparing the second variation with a predetermined threshold;
A speech segment detecting device comprising speech segment determining means for determining a speech segment based on the result determined to be speech and non-speech.   The voice section detection device according to claim 1, wherein the first fluctuation calculation unit calculates the first fluctuation by smoothing the volume of the voice data.   The speech section detection device according to claim 1, wherein the second fluctuation calculating unit calculates the second fluctuation by smoothing the fluctuation of the first fluctuation.   The speech section detection device according to claim 1, wherein the speech section determination unit determines a speech section from a continuation length of the frame determined to be speech or non-speech.   The speech section detection device according to claim 1, wherein the speech section determination unit excludes a speech section that does not satisfy a predetermined continuation length from the speech section among the frames determined to be the speech section.   The voice according to claim 1, wherein the voice segment determining means is sandwiched between the voice segments, and a non-speech segment having a predetermined duration or less is combined with the voice segments at both ends to form one voice segment. Section detection device. A speech segment detection program for causing a computer having an arithmetic processing unit, a speech input device, and a storage device to perform speech segment detection,
Performing frame cut-out processing on audio data sampled by the audio input device and stored in the storage device;
The arithmetic processing unit calculating the volume of the audio data as a first variation;
The arithmetic processing unit calculating a variation of the first variation as a second variation;
The arithmetic processing unit performing voice or non-voice determination for each frame by comparing the second variation with a predetermined threshold;
A speech section detection program for causing a computer to execute a step in which the arithmetic processing unit determines a speech section based on a result determined to be speech and non-speech.

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