CN114554238B - Live broadcast voice simultaneous transmission method, device, medium and electronic equipment - Google Patents
Live broadcast voice simultaneous transmission method, device, medium and electronic equipment Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/21—Server components or server architectures
- H04N21/218—Source of audio or video content, e.g. local disk arrays
- H04N21/2187—Live feed
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/279—Recognition of textual entities
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- G—PHYSICS
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/40—Processing or translation of natural language
- G06F40/58—Use of machine translation, e.g. for multi-lingual retrieval, for server-side translation for client devices or for real-time translation
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/26—Speech to text systems
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- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
- H04N21/234—Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs
- H04N21/2343—Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs involving reformatting operations of video signals for distribution or compliance with end-user requests or end-user device requirements
- H04N21/234336—Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs involving reformatting operations of video signals for distribution or compliance with end-user requests or end-user device requirements by media transcoding, e.g. video is transformed into a slideshow of still pictures or audio is converted into text
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/44—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
- H04N21/4402—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs involving reformatting operations of video signals for household redistribution, storage or real-time display
- H04N21/440236—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs involving reformatting operations of video signals for household redistribution, storage or real-time display by media transcoding, e.g. video is transformed into a slideshow of still pictures, audio is converted into text
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- H04N5/262—Studio circuits, e.g. for mixing, switching-over, change of character of image, other special effects ; Cameras specially adapted for the electronic generation of special effects
- H04N5/278—Subtitling
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Abstract
The disclosure relates to a live voice simultaneous transmission method, a device, a medium and electronic equipment, comprising: obtaining target languages and original audio stream data; dividing the original audio stream data, and synchronously identifying original caption text corresponding to each divided sentence voice; translating original caption texts corresponding to the clause voices into target caption texts, and synthesizing target voices corresponding to the clause voices according to the target caption texts; and taking the target voice as target audio stream data to form live broadcast data after simultaneous transmission. When translating the caption text obtained by identifying the original audio stream data in the simultaneous transmission process, the caption text is not input into the translation engine word by word, but the sentence is processed on the original audio stream data in the voice identification stage, so that the complete sentence included in the translation request issued to the downstream is ensured, the translation effect of the translation is ensured, and the problem of poor listening effect of the synthesized voice in the background technology is also solved.
Description
Technical Field
The disclosure relates to the field of live broadcasting, in particular to a live broadcasting voice simultaneous transmission method, a device, a medium and electronic equipment.
Background
Currently, in a live broadcast co-transmission scenario, a method of translating a primary voice in a live broadcast into a voice of another language is generally based on a processing link of "automatic voice recognition-machine translation-machine voice synthesis", each step in the link is performed word by word, that is, the voice recognition obtains a word, and then the word is input into a downstream translation module to translate the word to obtain a translation text corresponding to the word, and then the voice of another language corresponding to the word is synthesized according to the translation text. Because the recognition of the original text is performed word by word, and the machine translation engine is positioned at the downstream of the original text recognition engine, the received translation request is broken by branch and is often not a complete sentence, and therefore, the voice effect of listening to the translated text is poor when the translated text is accessed into the voice synthesis engine. Such as: the words of the speaker are "good, happy coming up the sea-! In the identification of the translation, the words "good, happy, welcome, coming, going and sea" are respectively submitted to the translation engine, and the listening effect of the synthesized voice can be caused by the word-by-word translation of the original text by the translation engine during the voice synthesis.
Disclosure of Invention
This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description. This summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.
In a first aspect, the present disclosure provides a live voice co-transmission method, the method including:
obtaining target languages and original audio stream data, wherein the original audio stream data is obtained by decoding live broadcast data;
performing clauses on the original audio stream data, and synchronously identifying original caption text corresponding to each clause voice;
translating the original caption text corresponding to each clause voice into a target caption text, and synthesizing target voice corresponding to the clause voice according to the target caption text, wherein the target caption text is the text of the target language;
and taking the target voice as target audio stream data to form live broadcast data after simultaneous transmission.
In a second aspect, the present disclosure provides a live voice co-transmission device, the device comprising:
the acquisition module is used for acquiring target languages and original audio stream data, wherein the original audio stream data is obtained by decoding live broadcast data;
the clause module is used for carrying out clause on the original audio stream data and synchronously identifying the original caption text corresponding to each clause voice;
the simultaneous transmission module is used for translating the original caption text corresponding to each clause voice into a target caption text, and synthesizing target voice corresponding to the clause voice according to the target caption text, wherein the target caption text is the text of the target language;
And the processing module is used for taking the target voice as target audio stream data to form live broadcast data after simultaneous transmission.
In a third aspect, the present disclosure provides a computer readable medium having stored thereon a computer program which, when executed by a processing device, implements the steps of the method described in the embodiments described in the first aspect.
In a fourth aspect, the present disclosure provides an electronic device comprising:
a storage device having a computer program stored thereon;
processing means for executing said computer program in said storage means to carry out the steps of the method described in the embodiments described in the first aspect.
According to the technical scheme, in the simultaneous transmission process, when the caption text obtained by identifying the original audio stream data is translated, the caption text is not input into the translation engine word by word, but the sentence is processed on the original audio stream data in the voice identification stage, so that the translation request received by the downstream translation module is ensured to be a complete sentence, the translation effect of the translation is ensured, and the problem of poor listening effect of the synthesized voice in the background technology is solved.
Additional features and advantages of the present disclosure will be set forth in the detailed description which follows.
Drawings
The above and other features, advantages, and aspects of embodiments of the present disclosure will become more apparent by reference to the following detailed description when taken in conjunction with the accompanying drawings. The same or similar reference numbers will be used throughout the drawings to refer to the same or like elements. It should be understood that the figures are schematic and that elements and components are not necessarily drawn to scale. In the drawings:
fig. 1 is a flow chart illustrating a live voice co-transmission method according to an exemplary embodiment of the present disclosure.
Fig. 2 is a flow chart illustrating a live voice co-transmission method according to yet another exemplary embodiment of the present disclosure.
Fig. 3 is a flow chart illustrating a live voice co-transmission method according to yet another exemplary embodiment of the present disclosure.
Fig. 4 is a block diagram illustrating a live voice co-transmission apparatus according to an exemplary embodiment of the present disclosure.
Fig. 5 is a block diagram illustrating a live voice co-transmission apparatus according to still another exemplary embodiment of the present disclosure.
Fig. 6 shows a schematic structural diagram of an electronic device suitable for use in implementing embodiments of the present disclosure.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure have been shown in the accompanying drawings, it is to be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but are provided to provide a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are for illustration purposes only and are not intended to limit the scope of the present disclosure.
It should be understood that the various steps recited in the method embodiments of the present disclosure may be performed in a different order and/or performed in parallel. Furthermore, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the present disclosure is not limited in this respect.
The term "including" and variations thereof as used herein are intended to be open-ended, i.e., including, but not limited to. The term "based on" is based at least in part on. The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments. Related definitions of other terms will be given in the description below.
It should be noted that the terms "first," "second," and the like in this disclosure are merely used to distinguish between different devices, modules, or units and are not used to define an order or interdependence of functions performed by the devices, modules, or units.
It should be noted that references to "one", "a plurality" and "a plurality" in this disclosure are intended to be illustrative rather than limiting, and those of ordinary skill in the art will appreciate that "one or more" is intended to be understood as "one or more" unless the context clearly indicates otherwise.
The names of messages or information interacted between the various devices in the embodiments of the present disclosure are for illustrative purposes only and are not intended to limit the scope of such messages or information.
Fig. 1 is a flow chart illustrating a live voice co-transmission method according to an exemplary embodiment of the present disclosure. As shown in fig. 1, the method includes steps 101 to 104.
In step 101, target language and original audio stream data are obtained, wherein the original audio stream data are obtained by decoding live broadcast data.
The live data may be live data including a video stream and an audio stream, or may be live data including only an audio stream, and in the case where the live data is live data including a video stream and an audio stream, decoding the live data into original video stream data and original audio stream data may be implemented by any audio decoder, which is not limited by the present disclosure, as long as the original audio stream data therein can be decoded from the live data.
The live broadcast data can be obtained from any live broadcast equipment or server, can be real-time live broadcast data or recorded broadcast data, and is not limited by whether the original live broadcast data is generated in real time or not in the present disclosure, so long as the live broadcast data including audio stream data is required to be transmitted simultaneously. In the case of the live data, which is not real-time live data, the acquisition of the original audio stream data may be performed by simulating live push, instead of acquiring the entire complete original audio stream data.
The target language can be obtained by input in advance by a user. Or, the user can also change the target language in the process of co-transmitting the original audio stream data, and the obtained original audio stream data after the target language is changed can be co-transmitted according to the changed target language.
In step 102, clauses are performed on the original audio stream data, and original caption text corresponding to each clause voice is synchronously identified.
The method for dividing the original audio stream data can be realized by the existing speech recognition technology, for example, whether the sentence can be divided at the position or not can be judged by recognizing whether the obtained sentence has inter-sentence pause on a time axis or not. The present disclosure is not limited to a particular method of clause.
In step 103, the original caption text corresponding to each clause voice is translated into a target caption text, and a target voice corresponding to the clause voice is synthesized according to the target caption text, wherein the target caption text is the text of the target language.
In step 104, the target voice is taken as target audio stream data to form live broadcast data after being transmitted simultaneously.
Through the clause, a complete sentence in the original audio stream data can be obtained in a voice recognition stage, the original subtitle text corresponding to each complete sentence is used as an original subtitle text, the original subtitle text corresponding to one complete sentence is translated to obtain a target subtitle text, and then voice synthesis is carried out on the complete sentence, so that the semantics of each character in one complete sentence can be considered in the synthesizing process of the target voice, and further more reasonable and accurate target voice can be obtained.
For example, if the original audio stream data includes the aforementioned "good, happy coming Shanghai-! After the original audio stream data is identified to obtain "good", the audio stream data comprising the voice "good" can be determined by a clause method to be used as a clause, and then the whole of the original subtitle text "good" corresponding to the clause is translated to obtain "Everyone is welcoming", and then the whole of the translation is synthesized by a voice synthesis module.
If the occurrence of the recognition text is "-big-good" and the occurrence of the translation is correspondingly "-big-all-Hello-evaryone" in the process of performing speech recognition on the original audio stream data in a word-by-word simultaneous transmission manner described in the background art, performing speech synthesis on such a translation will affect the listening effect of the synthesized speech to a certain extent, affect the understanding of the user on the live content,
According to the technical scheme, in the simultaneous transmission process, when the caption text obtained by identifying the original audio stream data is translated, the caption text is not input into the translation engine word by word, but the sentence is processed on the original audio stream data in the voice identification stage, so that the translation request received by the downstream translation module is ensured to be a complete sentence, the translation effect of the translation is ensured, and the problem of poor listening effect of the synthesized voice in the background technology is solved.
In addition, in the same transmission process, the problem that the audio length of the translated text after speech synthesis is different from the audio length of the original text also often occurs, so that the speech of the translated text is staggered from the original text, and the live broadcast effect is affected. To address this problem, the present disclosure also provides a method as shown in fig. 2.
Fig. 2 is a flow chart illustrating a live voice co-transmission method according to yet another exemplary embodiment of the present disclosure. As shown in fig. 2, the method further comprises steps 201 to 206.
In step 201, a translated text obtained by translating the original subtitle text corresponding to each clause voice is obtained.
In step 202, a clause duration corresponding to the clause voice is determined according to a time axis where the clause voice is located, and a phoneme numerical range corresponding to the clause duration is determined.
In step 203, the actual number of phonemes in the translated text is calculated.
In step 204, it is determined whether the actual number of phonemes is within the phoneme numerical range, if yes, the step is proceeded to step 205, and if no, the step is proceeded to step 206;
in step 205, that is, in the case where it is determined that the actual number of phonemes is within the phoneme numerical range, the translated text is taken as the target subtitle text, and a target speech corresponding to the clause speech is synthesized according to the target subtitle text.
That is, in the process of translating and synthesizing any clause, the phoneme numerical range is determined according to the corresponding clause duration of the clause voice in the time axis of the original audio stream data, and the actual number of phonemes in the translated text obtained by translation is calculated, and only when the actual number of phonemes meets the condition within the phoneme numerical range, the translated text is directly determined as the target subtitle text to synthesize the target voice.
The phoneme numerical range may be obtained by training or calculating in advance, and if the duration of the synthesized target voice is consistent with the duration of the clause, the number of phonemes that can be included in the target subtitle text corresponding to the target voice is the least and the most. The actual number of phonemes is directly calculated from the translated text. If the actual number of phonemes of the translation text is within a range of phoneme values allowed by the sentence duration of the sentence speech corresponding to the translation text in the time axis of the original audio stream data, the audio length corresponding to the target speech obtained by synthesizing the translation text is identical to the audio length corresponding to the sentence speech, and the situation that the translation speech and the original speech are staggered does not occur.
In step 206, that is, in the case that it is determined that the actual number of phonemes is not within the phoneme numerical range, the translated text is adjusted according to the size relationship between the actual number of phonemes and the phoneme numerical range and a preset text adjustment rule.
In step 207, it is determined whether the actual number of phonemes in the translated text after adjustment is within the phoneme numerical range, and if so, the procedure goes to step 208, and if not, the procedure goes to step 206 to continue the adjustment.
In step 208, that is, in the case that it is determined that the actual number of phonemes in the adjusted translation text is within the phoneme numerical range, the adjusted translation text is used as the target subtitle text, and a target speech corresponding to the clause speech is synthesized according to the target subtitle text.
And if the actual number of phonemes of the translation text is not in a range of phoneme values allowed by the clause duration of the clause voice corresponding to the translation text in the time axis of the original audio stream data, the audio length corresponding to the target voice obtained by directly synthesizing the translation text is inconsistent with the audio length corresponding to the clause voice, and the situation that the translation voice and the original voice are staggered can occur. Therefore, at this time, a certain adjustment needs to be performed on the translated text or the speech synthesized by the translated text to ensure that the final target speech is consistent with the audio duration of the clause speech. And steps 204 to 208 show a scheme of adjusting the translated text so that the actual number of phonemes of the translated text after adjustment is within the range of phoneme values.
The method of adapting the translated text may be performed according to preset text adaptation rules as shown in step 206. For example, when the number of actual phonemes in the translation text is less than the minimum value of the phoneme numerical range, text that does not affect the actual semantics of the translation text may be added to the translation text according to semantics, the chinese translation text may be, for example, "hum", "o", etc., and the english translation text may include, for example, "hum"; when the actual number of phonemes in the translated text is greater than the maximum value of the phoneme numerical range, a portion of text in the translated text that does not affect semantics may be pruned.
After the translation text is adjusted according to the preset text adjustment rule, a judgment on whether the actual number of phonemes in the adjusted translation text is within the phoneme numerical range can be further performed, so that the actual number of phonemes in the translation text can be ensured to be within the phoneme numerical range before the target subtitle text is determined to synthesize the target voice.
In addition, if the number of actual phonemes in the translated text after adjustment still does not meet the condition within the phoneme numerical range after the adjustment of the preset threshold number of times is performed on the translated text according to the preset text adjustment rule, the translated text or the synthesized speech corresponding to the translated text may be further processed in other manners, so as to ensure that the speech duration after the simultaneous transmission is aligned with the phrase duration before the simultaneous transmission. A specific way may be, for example, the method shown in fig. 3.
Fig. 3 is a flow chart illustrating a live audio co-transmission method according to yet another exemplary embodiment of the present disclosure. As shown in fig. 3, the method further comprises step 301 and step 302.
In step 301, a plurality of candidate texts obtained by translating the original subtitle text corresponding to each clause voice are obtained.
In step 302, the candidate text with the highest priority among the plurality of candidate texts is determined as the translation text.
That is, the translated text obtained by translating the original subtitle text corresponding to the clause voice may be obtained from a plurality of candidate texts through priority determination. The candidate text may also be a plurality of texts with higher matching degree of the original subtitle text corresponding to the clause voice, from a plurality of texts obtained by translating the original subtitle text corresponding to the clause voice, and the priority of the candidate text may also be determined according to the matching degree of the candidate text and the original subtitle text corresponding to the clause voice, where the higher the matching degree is, the higher the priority is.
In step 303, it is determined whether the adjustment times of the translated text reach the preset threshold times, if yes, the process goes to step 304, if not, the process goes back to step 206 to adjust the translated text again.
In step 304, that is, in a case where the actual number of phonemes is not within the phoneme numerical range and the number of adjustment times of the translated text reaches a preset threshold number of times, the plurality of candidate texts are sequentially determined as the translated text according to the priority.
In case the actual number of phonemes is not in said range of phoneme values, the translated text may also be replaced from the candidate text by a step in step 303 in order of priority. For example, after the candidate text with the highest priority in the candidate texts is taken as the translation text, determining that the actual number of phonemes of the translation text is not in the phoneme numerical range, taking the candidate text with the next highest priority in the candidate texts as the translation text, calculating the actual number of phonemes of the translation text again, and judging whether the actual number of factors of the translation text is in the phoneme numerical range or not.
In step 305, it is determined whether the actual number of factors of the translated text is within the phoneme numerical range, if so, the method may directly return to step 205, take the translated text as a target subtitle text, and synthesize a target speech corresponding to the clause speech according to the target subtitle text. If not, go to step 306.
In step 306, it is determined whether all of the plurality of candidate texts have been traversed, if yes, the process goes to step 307, if no, the process goes back to step 304, and the candidate texts which have not been determined as translated texts continue to be determined as translated texts according to the priority.
That is, in the process of sequentially determining the translated text according to the priorities from the plurality of candidate texts according to step 304, it may be until the actual number of phonemes of the translated text is within the phoneme numerical range or the plurality of candidate texts have all been traversed to end.
If it is determined that the actual number of phonemes of the translated text is within the phoneme numerical range, the method may directly return to step 205, and use the translated text with the actual number of phonemes meeting the condition as the target subtitle text, and synthesize a target speech corresponding to the clause speech according to the target subtitle text.
If the plurality of candidate texts have been traversed to be finished and the translated text satisfying the phoneme value range condition is not determined, the sequential determination of the candidate texts is not repeated, and the target speech can be obtained by, for example, the methods shown in step 307 and step 308.
In step 307, that is, in a case where all of the plurality of candidate texts have been traversed and the actual number of phonemes of the translated text is still not within the phoneme numerical range, the candidate text with the highest priority among the plurality of candidate texts is determined as the target subtitle text.
In step 308, intermediate voices are synthesized according to the target subtitle text, and the intermediate voices are adjusted in speed according to the phrase duration corresponding to the phrase voices, so that the duration corresponding to the intermediate voices after speed adjustment is consistent with the phrase duration, and the intermediate voices after speed adjustment are determined to be target voices corresponding to the phrase voices.
Or under the condition that the plurality of candidate texts are traversed and the actual phoneme number of the translation text is still not in the phoneme numerical range, the current translation text can be directly used as the target subtitle text to synthesize the voice to obtain the middle voice, and the synthesized middle voice is regulated according to the clause duration corresponding to the clause voice, so that the target voice obtained after the speed regulation can be aligned with the clause voice on a time axis.
In addition, the method shown in fig. 3 for traversing multiple candidate texts to determine the translated text so as to ensure that the final target speech is consistent with the clause duration is similar to the method shown in fig. 2 for adjusting the translated text according to the preset text adjustment rule so as to ensure that the final target speech is consistent with the clause duration, and there is no fixed sequence of execution between the two methods. In the actual simultaneous transmission process, if the actual number of phonemes is not in the phoneme numerical range, the translation text can be directly adjusted according to the preset text adjustment rule, the translation text meeting the requirements is searched in a mode of sequentially determining the translation text according to the priority in a plurality of candidate texts under the condition that adjustment cannot be performed, finally, the simultaneous transmission voice duration can be ensured to be consistent with the sentence duration in the original audio stream data in a mode of regulating the synthesized voice under the condition that adjustment cannot be performed, the translation text meeting the requirements can be searched in a mode of sequentially determining the translation text according to the priority in a plurality of candidate texts, the translation text is adjusted according to the preset text adjustment rule under the condition that adjustment cannot be performed, and finally, the simultaneous transmission voice duration can be ensured to be consistent with the sentence duration in the original audio stream data in a mode of regulating the synthesized voice. Alternatively, the co-transmission may be achieved by only presetting text adjustment rules or by only prioritized candidate texts.
In one possible embodiment, the method further comprises: obtaining an original language; the step of carrying out clause on the original audio stream data and synchronously identifying the original caption text corresponding to each clause voice comprises the following steps: and carrying out clauses on the original audio stream data, and synchronously identifying original caption texts corresponding to the speech of each clause according to the original languages. That is, before performing speech recognition on the original audio stream data, the original language corresponding to the original audio stream data may be determined by user input, so as to perform the speech recognition.
In one possible implementation manner, the process of performing speech synthesis on the target subtitle text may be performed according to audio data such as a target tone, a target volume, a target tone, etc., where the target tone, the target volume, the target tone may be determined by a user input manner together with the target language, so as to facilitate user-defined selection of the language, tone, volume, and tone of the speech to be synthesized.
In a possible implementation manner, according to a user setting, the determined original subtitle text and/or target subtitle text can be displayed in a live broadcast picture as a subtitle in case of a subtitle display requirement.
Fig. 4 is a block diagram illustrating a live voice co-transmission apparatus according to an exemplary embodiment of the present disclosure. As shown in fig. 4, the apparatus includes: the acquisition module 10 is used for acquiring target languages and original audio stream data, wherein the original audio stream data is obtained by decoding live broadcast data; the clause module 20 is used for carrying out clause on the original audio stream data and synchronously identifying the original caption text corresponding to each clause voice; the simultaneous transmission module 30 is configured to translate the original subtitle text corresponding to each clause voice into a target subtitle text, and synthesize a target voice corresponding to the clause voice according to the target subtitle text, where the target subtitle text is a text of the target language; and the processing module 40 is configured to take the target voice as target audio stream data to form live broadcast data after simultaneous transmission.
According to the technical scheme, in the simultaneous transmission process, when the caption text obtained by identifying the original audio stream data is translated, the caption text is not input into the translation engine word by word, but the sentence is processed on the original audio stream data in the voice identification stage, so that the translation request received by the downstream translation module is ensured to be a complete sentence, the translation effect of the translation is ensured, and the problem of poor listening effect of the synthesized voice in the background technology is solved.
Fig. 5 is a block diagram illustrating a live voice co-transmission apparatus according to still another exemplary embodiment of the present disclosure. As shown in fig. 5, the synchronous transmission module 30 includes: an obtaining sub-module 301, configured to obtain a translated text obtained by translating the original subtitle text corresponding to each clause voice; the determining submodule 302 is configured to determine a clause duration corresponding to the clause voice according to a time axis where the clause voice is located, and determine a phoneme numerical range corresponding to the clause duration; a calculation module 303, configured to calculate the number of actual phonemes in the translated text; and the first synthesis submodule 304 takes the translated text as the target subtitle text if the actual number of phonemes is in the phoneme numerical range, and synthesizes target voice corresponding to the clause voice according to the target subtitle text.
In one possible embodiment, as shown in fig. 5, the concurrence module 30 further includes: a second synthesis submodule 305, configured to adjust the translated text according to a size relationship between the actual number of phonemes and the phoneme numerical range and a preset text adjustment rule if the actual number of phonemes is not in the phoneme numerical range; and if the actual number of phonemes in the adjusted translation text is in the phoneme numerical range, taking the adjusted translation text as the target subtitle text, and synthesizing target voice corresponding to the clause voice according to the target subtitle text.
In a possible implementation, as shown in fig. 5, the obtaining sub-module 301 is further configured to: obtaining a plurality of candidate texts obtained by translating the original subtitle texts corresponding to the clause voices respectively; and determining the candidate text with the highest priority in the plurality of candidate texts as the translation text.
In one possible embodiment, as shown in fig. 5, the concurrence module 30 further includes: and a third synthesis submodule 306, configured to sequentially determine the plurality of candidate texts as the translated text according to the priority if the actual number of phonemes is not in the phoneme numerical range, until the actual number of phonemes of the translated text is in the phoneme numerical range, or until all of the plurality of candidate texts have been traversed.
In one possible embodiment, as shown in fig. 5, the concurrence module 30 further includes: a fourth synthesis submodule 307, configured to determine a candidate text with the highest priority among the plurality of candidate texts as the target subtitle text if all the plurality of candidate texts have been traversed and the actual number of phonemes of the translated text is still not within the phoneme numerical range; and synthesizing middle voice according to the target subtitle text, regulating the speed of the middle voice through the clause duration corresponding to the clause voice so that the duration corresponding to the middle voice after speed regulation is consistent with the clause duration, and determining the middle voice after speed regulation as the target voice corresponding to the clause voice.
In one possible implementation, the acquisition module 10 is further configured to: obtaining an original language; the clause module 20 is further configured to: and carrying out clauses on the original audio stream data, and synchronously identifying original caption texts corresponding to the speech of each clause according to the original languages.
Referring now to fig. 6, a schematic diagram of an electronic device 600 suitable for use in implementing embodiments of the present disclosure is shown. The terminal devices in the embodiments of the present disclosure may include, but are not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and the like, and stationary terminals such as digital TVs, desktop computers, and the like. The electronic device shown in fig. 6 is merely an example and should not be construed to limit the functionality and scope of use of the disclosed embodiments.
As shown in fig. 6, the electronic device 600 may include a processing means (e.g., a central processing unit, a graphics processor, etc.) 601, which may perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 602 or a program loaded from a storage means 608 into a Random Access Memory (RAM) 603. In the RAM 603, various programs and data required for the operation of the electronic apparatus 600 are also stored. The processing device 601, the ROM 602, and the RAM 603 are connected to each other through a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.
In general, the following devices may be connected to the I/O interface 605: input devices 606 including, for example, a touch screen, touchpad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, and the like; an output device 607 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 608 including, for example, magnetic tape, hard disk, etc.; and a communication device 609. The communication means 609 may allow the electronic device 600 to communicate with other devices wirelessly or by wire to exchange data. While fig. 6 shows an electronic device 600 having various means, it is to be understood that not all of the illustrated means are required to be implemented or provided. More or fewer devices may be implemented or provided instead.
In particular, according to embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a non-transitory computer readable medium, the computer program comprising program code for performing the method shown in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via communication means 609, or from storage means 608, or from ROM 602. The above-described functions defined in the methods of the embodiments of the present disclosure are performed when the computer program is executed by the processing device 601.
It should be noted that the computer readable medium described in the present disclosure may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this disclosure, a computer-readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present disclosure, however, the computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with the computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, fiber optic cables, RF (radio frequency), and the like, or any suitable combination of the foregoing.
In some implementations, the clients, servers may communicate using any currently known or future developed network protocol, such as HTTP (HyperText Transfer Protocol ), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the internet (e.g., the internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed networks.
The computer readable medium may be contained in the electronic device; or may exist alone without being incorporated into the electronic device.
The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: obtaining target languages and original audio stream data, wherein the original audio stream data is obtained by decoding live broadcast data; performing clauses on the original audio stream data, and synchronously identifying original caption text corresponding to each clause voice; translating the original caption text corresponding to each clause voice into a target caption text, and synthesizing target voice corresponding to the clause voice according to the target caption text, wherein the target caption text is the text of the target language; and taking the target voice as target audio stream data to form live broadcast data after simultaneous transmission.
Computer program code for carrying out operations of the present disclosure may be written in one or more programming languages, including, but not limited to, an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The modules described in the embodiments of the present disclosure may be implemented in software or hardware. The name of the module is not limited to the module itself in some cases, and for example, the acquisition module may be also described as "a module for acquiring the target language and the original audio stream data".
The functions described above herein may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: a Field Programmable Gate Array (FPGA), an Application Specific Integrated Circuit (ASIC), an Application Specific Standard Product (ASSP), a system on a chip (SOC), a Complex Programmable Logic Device (CPLD), and the like.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. The machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
In accordance with one or more embodiments of the present disclosure, example 1 provides a live voice co-transmission method, the method comprising: obtaining target languages and original audio stream data, wherein the original audio stream data is obtained by decoding live broadcast data; performing clauses on the original audio stream data, and synchronously identifying original caption text corresponding to each clause voice; translating the original caption text corresponding to each clause voice into a target caption text, and synthesizing target voice corresponding to the clause voice according to the target caption text, wherein the target caption text is the text of the target language; and taking the target voice as target audio stream data to form live broadcast data after simultaneous transmission.
According to one or more embodiments of the present disclosure, example 2 provides a method of example 1, the translating the original subtitle text corresponding to each clause speech into target subtitle text, and synthesizing target speech corresponding to the clause speech according to the target subtitle text includes: obtaining translation texts obtained by translating the original subtitle texts corresponding to the clause voices respectively; determining the clause duration corresponding to the clause voice according to the time axis of the clause voice, and determining the phoneme numerical range corresponding to the clause duration; calculating the actual number of phonemes in the translation text; and if the actual number of phonemes is in the phoneme numerical range, taking the translation text as the target subtitle text, and synthesizing target voice corresponding to the clause voice according to the target subtitle text.
According to one or more embodiments of the present disclosure, example 3 provides a method of example 2, the translating the original subtitle text corresponding to each clause speech into target subtitle text, and synthesizing target speech corresponding to the clause speech according to the target subtitle text further includes: if the actual number of phonemes is not in the phoneme numerical range, adjusting the translation text according to the size relation between the actual number of phonemes and the phoneme numerical range and a preset text adjustment rule; and if the actual number of phonemes in the adjusted translation text is in the phoneme numerical range, taking the adjusted translation text as the target subtitle text, and synthesizing target voice corresponding to the clause voice according to the target subtitle text.
According to one or more embodiments of the present disclosure, example 4 provides a method of example 2, where the obtaining the translated text translated from the original subtitle text corresponding to each clause speech includes: obtaining a plurality of candidate texts obtained by translating the original subtitle texts corresponding to the clause voices respectively; and determining the candidate text with the highest priority in the plurality of candidate texts as the translation text.
According to one or more embodiments of the present disclosure, example 5 provides a method of example 4, the translating the original subtitle text corresponding to each clause speech into target subtitle text, and synthesizing target speech corresponding to the clause speech according to the target subtitle text further includes: and if the actual number of phonemes is not in the phoneme numerical range, sequentially determining the plurality of candidate texts as the translation text according to the priority level until the actual number of phonemes of the translation text is in the phoneme numerical range or the plurality of candidate texts are traversed and ended.
According to one or more embodiments of the present disclosure, example 6 provides a method of example 5, the translating the original subtitle text corresponding to each clause speech into target subtitle text, and synthesizing target speech corresponding to the clause speech according to the target subtitle text further includes: if the plurality of candidate texts are traversed and ended and the actual number of phonemes of the translation text is still not in the phoneme numerical range, determining the candidate text with the highest priority in the plurality of candidate texts as the target subtitle text; and synthesizing middle voice according to the target subtitle text, regulating the speed of the middle voice through the clause duration corresponding to the clause voice so that the duration corresponding to the middle voice after speed regulation is consistent with the clause duration, and determining the middle voice after speed regulation as the target voice corresponding to the clause voice.
Example 7 provides a method of example 1, according to one or more embodiments of the present disclosure, the method further comprising: obtaining an original language; the step of carrying out clause on the original audio stream data and synchronously identifying the original caption text corresponding to each clause voice comprises the following steps: and carrying out clauses on the original audio stream data, and synchronously identifying original caption texts corresponding to the speech of each clause according to the original languages.
In accordance with one or more embodiments of the present disclosure, example 8 provides a live voice co-transmission apparatus, the apparatus comprising: the acquisition module is used for acquiring target languages and original audio stream data, wherein the original audio stream data is obtained by decoding live broadcast data; the clause module is used for carrying out clause on the original audio stream data and synchronously identifying the original caption text corresponding to each clause voice; the simultaneous transmission module is used for translating the original caption text corresponding to each clause voice into a target caption text, and synthesizing target voice corresponding to the clause voice according to the target caption text, wherein the target caption text is the text of the target language; and the processing module is used for taking the target voice as target audio stream data to form live broadcast data after simultaneous transmission.
According to one or more embodiments of the present disclosure, example 9 provides a computer-readable medium having stored thereon a computer program which, when executed by a processing device, implements the steps of the method of any of examples 1-7.
In accordance with one or more embodiments of the present disclosure, example 10 provides an electronic device, comprising: a storage device having a computer program stored thereon; processing means for executing the computer program in the storage means to implement the steps of the method of any one of examples 1-7.
The foregoing description is only of the preferred embodiments of the present disclosure and description of the principles of the technology being employed. It will be appreciated by persons skilled in the art that the scope of the disclosure referred to in this disclosure is not limited to the specific combinations of features described above, but also covers other embodiments which may be formed by any combination of features described above or equivalents thereof without departing from the spirit of the disclosure. Such as those described above, are mutually substituted with the technical features having similar functions disclosed in the present disclosure (but not limited thereto).
Moreover, although operations are depicted in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order. In certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation details are included in the above discussion, these should not be construed as limiting the scope of the present disclosure. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable subcombination.
Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are example forms of implementing the claims. The specific manner in which the various modules perform the operations in the apparatus of the above embodiments have been described in detail in connection with the embodiments of the method, and will not be described in detail herein.
Claims (10)
1. A live voice concurrent transmission method, the method comprising:
obtaining target languages and original audio stream data, wherein the original audio stream data is obtained by decoding live broadcast data;
performing clauses on the original audio stream data, and synchronously identifying original caption text corresponding to each clause voice;
translating the original caption text corresponding to each clause voice into a target caption text, and synthesizing target voice corresponding to the clause voice according to the target caption text, wherein the target caption text is the text of the target language;
and taking the target voice as target audio stream data to form live broadcast data after simultaneous transmission.
2. The method of claim 1, wherein translating the original subtitle text corresponding to each clause voice into a target subtitle text, and synthesizing a target voice corresponding to the clause voice according to the target subtitle text comprises:
obtaining translation texts obtained by translating the original subtitle texts corresponding to the clause voices respectively;
determining the clause duration corresponding to the clause voice according to the time axis of the clause voice, and determining the phoneme numerical range corresponding to the clause duration;
calculating the actual number of phonemes in the translation text;
and if the actual number of phonemes is in the phoneme numerical range, taking the translation text as the target subtitle text, and synthesizing target voice corresponding to the clause voice according to the target subtitle text.
3. The method of claim 2, wherein translating the original subtitle text corresponding to each clause voice into a target subtitle text, and synthesizing a target voice corresponding to the clause voice according to the target subtitle text further comprises:
if the actual number of phonemes is not in the phoneme numerical range, adjusting the translation text according to the size relation between the actual number of phonemes and the phoneme numerical range and a preset text adjustment rule;
And if the actual number of phonemes in the adjusted translation text is in the phoneme numerical range, taking the adjusted translation text as the target subtitle text, and synthesizing target voice corresponding to the clause voice according to the target subtitle text.
4. The method according to claim 2, wherein the obtaining the translated text translated from the original subtitle text corresponding to each clause voice includes:
obtaining a plurality of candidate texts obtained by translating the original subtitle texts corresponding to the clause voices respectively;
and determining the candidate text with the highest priority in the plurality of candidate texts as the translation text.
5. The method of claim 4, wherein translating the original caption text corresponding to each clause voice into a target caption text, and synthesizing a target voice corresponding to the clause voice according to the target caption text further comprises:
and if the actual number of phonemes is not in the phoneme numerical range, sequentially determining the plurality of candidate texts as the translation text according to the priority level until the actual number of phonemes of the translation text is in the phoneme numerical range or the plurality of candidate texts are traversed and ended.
6. The method of claim 5, wherein translating the original caption text corresponding to each clause voice into a target caption text, and synthesizing a target voice corresponding to the clause voice according to the target caption text further comprises:
if the plurality of candidate texts are traversed and ended and the actual number of phonemes of the translation text is still not in the phoneme numerical range, determining the candidate text with the highest priority in the plurality of candidate texts as the target subtitle text;
and synthesizing middle voice according to the target subtitle text, regulating the speed of the middle voice through the clause duration corresponding to the clause voice so that the duration corresponding to the middle voice after speed regulation is consistent with the clause duration, and determining the middle voice after speed regulation as the target voice corresponding to the clause voice.
7. The method according to claim 1, wherein the method further comprises: obtaining an original language;
the step of carrying out clause on the original audio stream data and synchronously identifying the original caption text corresponding to each clause voice comprises the following steps:
and carrying out clauses on the original audio stream data, and synchronously identifying original caption texts corresponding to the speech of each clause according to the original languages.
8. A live voice co-transmission device, the device comprising:
the acquisition module is used for acquiring target languages and original audio stream data, wherein the original audio stream data is obtained by decoding live broadcast data;
the clause module is used for carrying out clause on the original audio stream data and synchronously identifying the original caption text corresponding to each clause voice;
the simultaneous transmission module is used for translating the original caption text corresponding to each clause voice into a target caption text, and synthesizing target voice corresponding to the clause voice according to the target caption text, wherein the target caption text is the text of the target language;
and the processing module is used for taking the target voice as target audio stream data to form live broadcast data after simultaneous transmission.
9. A computer readable medium on which a computer program is stored, characterized in that the program, when being executed by a processing device, carries out the steps of the method according to any one of claims 1-7.
10. An electronic device, comprising:
a storage device having a computer program stored thereon;
processing means for executing said computer program in said storage means to carry out the steps of the method according to any one of claims 1-7.
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