CN113486208A - Voice search equipment based on artificial intelligence and search method thereof - Google Patents
Voice search equipment based on artificial intelligence and search method thereof Download PDFInfo
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- CN113486208A CN113486208A CN202110640129.9A CN202110640129A CN113486208A CN 113486208 A CN113486208 A CN 113486208A CN 202110640129 A CN202110640129 A CN 202110640129A CN 113486208 A CN113486208 A CN 113486208A
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- 238000013473 artificial intelligence Methods 0.000 title claims abstract description 29
- 238000000034 method Methods 0.000 title claims abstract description 18
- 238000012216 screening Methods 0.000 claims abstract description 21
- 238000012545 processing Methods 0.000 claims abstract description 18
- 238000012549 training Methods 0.000 claims abstract description 12
- 238000000605 extraction Methods 0.000 claims abstract description 11
- 238000001914 filtration Methods 0.000 claims description 5
- 238000006243 chemical reaction Methods 0.000 claims description 4
- 239000000284 extract Substances 0.000 claims description 3
- 230000004044 response Effects 0.000 abstract description 4
- 238000005516 engineering process Methods 0.000 description 6
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/60—Information retrieval; Database structures therefor; File system structures therefor of audio data
- G06F16/68—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/683—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
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- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/279—Recognition of textual entities
- G06F40/284—Lexical analysis, e.g. tokenisation or collocates
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- G—PHYSICS
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- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/02—Feature extraction for speech recognition; Selection of recognition unit
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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
- G10L15/06—Creation of reference templates; Training of speech recognition systems, e.g. adaptation to the characteristics of the speaker's voice
- G10L15/063—Training
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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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Abstract
The invention discloses voice search equipment based on artificial intelligence and a search method thereof, belonging to the technical field of voice recognition and comprising a judgment module, a screening module, a feedback module and a processing module, wherein the judgment module comprises an acquisition unit, a de-noising unit, a feature extraction unit, a training unit and an analysis judgment unit, the judgment module, the screening module, the feedback module and the processing module are connected with each other, and the acquisition unit, the de-noising unit, the feature extraction unit, the training unit and the analysis judgment unit are connected with each other through voice signals. Noise in the sample voice can be removed through a denoising unit in the judging module, so that the sample voice is clearer; the screening list can screen the search result to remove the content with low relevance, so that the influence of voice recognition errors on the search in the voice search process is reduced, the accuracy of the voice search is improved, and the user experience is improved; the processing module can record the search habit of the user and improve the search response speed.
Description
Technical Field
The invention relates to voice search equipment based on artificial intelligence and a search method thereof, in particular to voice search equipment based on artificial intelligence and a search method thereof, belonging to the technical field.
Background
Artificial intelligence is a new technology science for researching and developing theories, methods, technologies and application systems for simulating, extending and expanding human intelligence, along with the continuous development of voice recognition technology, the application range of the voice recognition technology is wider and wider, and along with the improvement of voice recognition accuracy, more and more users are accustomed to adopting a voice cable mode, so that keyboard input is avoided, and the search process is simplified.
At present, with the rapid development of intelligent terminal technology, the number of old people who use intelligent terminals to perform voice search is increasing, in the process of performing voice search, voice input by the old people is converted into text through a voice recognition technology, so that the converted text is used as a search word to perform search.
Disclosure of Invention
The invention mainly aims to solve the defects of the prior art and provides voice search equipment based on artificial intelligence and a search method thereof.
The purpose of the invention can be achieved by adopting the following technical scheme:
the voice search device based on artificial intelligence comprises a judgment module, a screening module, a feedback module and a processing module, wherein the judgment module comprises an acquisition unit, a denoising unit, a feature extraction unit, a training unit and an analysis judgment unit, the judgment module, the screening module, the feedback module and the processing module are connected with one another, and the acquisition unit, the denoising unit, the feature extraction unit, the training unit and the analysis judgment unit are connected through voice signals.
Preferably, the obtaining unit is configured to obtain a sample speech received by a receiver, and the denoising unit is configured to remove noise in the sample speech.
Preferably, the feature extraction unit is configured to extract an acoustic feature of the sample speech.
Preferably, the training unit is configured to train the acoustic features of the sample speech to obtain effective acoustic features.
Preferably, the analysis and judgment unit is configured to perform lexical analysis on the acoustic features of the sample speech.
Preferably, the screening module includes a conversion unit, a search unit and a screening unit, and the conversion unit is configured to convert the sample speech into text content.
Preferably, the searching unit is configured to search according to the text content to obtain a search result, and the screening unit is configured to screen the search result to remove content with low relevance.
Preferably, the feedback module includes a sentence database and a feedback center, the sentence database is used for storing the sample voice, and the feedback center is used for feeding back the screened search result to the user.
Preferably, the processing module includes an execution unit and a memory unit, the execution unit is used for executing an instruction sent by a user, and the memory unit is used for recording a search habit of the user.
A searching method of voice searching equipment based on artificial intelligence comprises the following steps:
step 1: the method comprises the steps that a judging module obtains sample voice received by a receiver, extracts acoustic features of the sample voice and then conducts lexical analysis on the acoustic features;
step 2: the screening module converts the sample voice into text content, searches according to the content to obtain a search result, and screens the search result to remove content with low relevance;
and step 3: the feedback module feeds the screened search results back to the user;
and 4, step 4: the processing module executes the instruction sent by the user and records the search habit of the user.
The invention has the beneficial technical effects that: according to the voice search device based on artificial intelligence, noise in sample voice can be removed through the denoising unit in the judging module, so that the sample voice is clearer; the screening list can screen the search result to remove the content with low relevance, so that the influence of voice recognition errors on the search in the voice search process is reduced, the accuracy of the voice search is improved, and the user experience is improved; the processing module can record the search habit of the user and improve the search response speed.
Drawings
FIG. 1 is an overall architecture diagram of a preferred embodiment of an artificial intelligence based speech search apparatus in accordance with the present invention;
FIG. 2 is a diagram of the decision module architecture of a preferred embodiment of an artificial intelligence based speech search apparatus in accordance with the present invention;
FIG. 3 is a diagram of the screening module architecture of a preferred embodiment of an artificial intelligence based speech search apparatus in accordance with the present invention;
FIG. 4 is a feedback module architecture diagram of a preferred embodiment of an artificial intelligence based speech search apparatus in accordance with the present invention;
FIG. 5 is a block diagram of a processing module in accordance with a preferred embodiment of the artificial intelligence based speech search apparatus of the present invention.
Detailed Description
In order to make the technical solutions of the present invention more clear and definite for those skilled in the art, the present invention is further described in detail below with reference to the examples and the accompanying drawings, but the embodiments of the present invention are not limited thereto.
As shown in fig. 1-5, the speech search device based on artificial intelligence provided in this embodiment includes a determining module, a screening module, a feedback module, and a processing module, where the determining module includes an obtaining unit, a denoising unit, a feature extraction unit, a training unit, and an analysis and determination unit, the determining module, the screening module, the feedback module, and the processing module are connected to each other, and the obtaining unit, the denoising unit, the feature extraction unit, the training unit, and the analysis and determination unit are connected by speech signals. The noise in the sample voice can be removed through the denoising unit in the judging module, so that the sample voice is clearer.
In this embodiment, as shown in fig. 2, the obtaining unit is configured to obtain a sample voice received by the receiver, and the denoising unit is configured to remove noise in the sample voice. The feature extraction unit is used for extracting acoustic features of the sample voice. The training unit is used for training the acoustic characteristics of the sample voice to obtain effective acoustic characteristics. The analysis and judgment unit is used for carrying out lexical analysis on the acoustic characteristics of the sample voice.
In the present embodiment, as shown in fig. 3, the filtering module includes a conversion unit for converting the sample speech into text content, a search unit, and a filtering unit. The searching unit is used for searching according to the text content to obtain a searching result, and the screening unit is used for screening the searching result to remove the content with low relevance. The screening list can screen the search result to remove the content with low relevance, so that the influence of voice recognition errors on the search in the voice search process is reduced, the accuracy of the voice search is improved, and the user experience is improved.
In this embodiment, as shown in fig. 4, the feedback module includes a sentence database and a feedback center, the sentence database is used for storing the sample speech, and the feedback center is used for feeding back the screened search result to the user.
In this embodiment, as shown in fig. 5, the processing module includes an execution unit and a memory unit, the execution unit is configured to execute an instruction issued by a user, and the memory unit is configured to record a search habit of the user, so as to improve a search response speed.
A searching method of voice searching equipment based on artificial intelligence comprises the following steps:
step 1: the judging module acquires sample voice received by the receiver, extracts acoustic characteristics of the sample voice and then performs lexical analysis on the acoustic characteristics;
step 2: the screening module converts the sample voice into text content, searches according to the content to obtain a search result, and screens the search result to remove content with low relevance;
and step 3: the feedback module feeds the screened search results back to the user;
and 4, step 4: the processing module executes the instruction sent by the user and records the search habit of the user.
In summary, in this embodiment, according to the speech search device based on artificial intelligence of this embodiment, the speech search device based on artificial intelligence provided in this embodiment can remove noise in the sample speech through the denoising unit in the determination module, so that the sample speech is clearer; the screening list can screen the search result to remove the content with low relevance, so that the influence of voice recognition errors on the search in the voice search process is reduced, the accuracy of the voice search is improved, and the user experience is improved; the processing module can record the search habit of the user and improve the search response speed.
The above description is only for the purpose of illustrating the present invention and is not intended to limit the scope of the present invention, and any person skilled in the art can substitute or change the technical solution of the present invention and its conception within the scope of the present invention.
Claims (10)
1. The voice search device based on artificial intelligence is characterized by comprising a judgment module, a screening module, a feedback module and a processing module, wherein the judgment module comprises an acquisition unit, a denoising unit, a feature extraction unit, a training unit and an analysis judgment unit, the judgment module, the screening module, the feedback module and the processing module are connected with one another, and the acquisition unit, the denoising unit, the feature extraction unit, the training unit and the analysis judgment unit are connected through voice signals.
2. The artificial intelligence based speech searching device of claim 1, wherein said obtaining unit is configured to obtain a sample speech received by a receiver, and said denoising unit is configured to remove noise in the sample speech.
3. An artificial intelligence based speech search apparatus as claimed in claim 2, wherein said feature extraction unit is adapted to extract acoustic features of said sample speech.
4. An artificial intelligence based speech searching device as claimed in claim 3, wherein said training unit is adapted to train the acoustic features of the sample speech to obtain valid acoustic features.
5. An artificial intelligence based speech search apparatus as claimed in claim 3, wherein said analysis determination unit is adapted to perform lexical analysis on acoustic features of said sample speech.
6. An artificial intelligence based speech search apparatus as claimed in claim 5, wherein said filtering module comprises a conversion unit for converting said sample speech into text content, a search unit and a filtering unit.
7. The artificial intelligence based voice search device as claimed in claim 6, wherein the search unit is configured to search according to the text content to obtain a search result, and the filtering unit is configured to filter the search result to remove content with low relevance.
8. The artificial intelligence based speech search device of claim 7, wherein the feedback module comprises a sentence database for storing the sample speech and a feedback center for feeding back the filtered search results to the user.
9. The artificial intelligence based voice search device of claim 1, wherein the processing module comprises an execution unit for executing instructions issued by a user and a memory unit for recording search habits of the user.
10. A searching method of voice searching equipment based on artificial intelligence is characterized by comprising the following steps:
step 1: the method comprises the steps that a judging module obtains sample voice received by a receiver, extracts acoustic features of the sample voice and then conducts lexical analysis on the acoustic features;
step 2: the screening module converts the sample voice into text content, searches according to the content to obtain a search result, and screens the search result to remove content with low relevance;
and step 3: the feedback module feeds the screened search results back to the user;
and 4, step 4: the processing module executes the instruction sent by the user and records the search habit of the user.
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| CN202110640129.9A CN113486208A (en) | 2021-06-09 | 2021-06-09 | Voice search equipment based on artificial intelligence and search method thereof |
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| CN202110640129.9A CN113486208A (en) | 2021-06-09 | 2021-06-09 | Voice search equipment based on artificial intelligence and search method thereof |
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106599110A (en) * | 2016-11-29 | 2017-04-26 | 百度在线网络技术（北京）有限公司 | Artificial intelligence-based voice search method and device |
| WO2018094952A1 (en) * | 2016-11-22 | 2018-05-31 | 百度在线网络技术（北京）有限公司 | Content recommendation method and apparatus |
| CN109683725A (en) * | 2018-12-03 | 2019-04-26 | 广东工业大学 | Language Processing information retrieval system and method based on search engine |
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- 2021-06-09 CN CN202110640129.9A patent/CN113486208A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2018094952A1 (en) * | 2016-11-22 | 2018-05-31 | 百度在线网络技术（北京）有限公司 | Content recommendation method and apparatus |
| CN106599110A (en) * | 2016-11-29 | 2017-04-26 | 百度在线网络技术（北京）有限公司 | Artificial intelligence-based voice search method and device |
| CN109683725A (en) * | 2018-12-03 | 2019-04-26 | 广东工业大学 | Language Processing information retrieval system and method based on search engine |
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