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Speech recognition method and speech recognition system

A technology of speech recognition and speech data, applied in speech recognition, speech analysis, instruments, etc., can solve the problem that the recognition result is unlikely to be completely correct, and achieve the effect of increasing accuracy

Active Publication Date: 2013-12-04
ASUSTEK COMPUTER INC
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  • Claims
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AI Technical Summary

Problems solved by technology

Although this method can provide online real-time speaker adaptation, it needs to recognize the speech data first to perform adjustment. Compared with the offline adjustment method of known sentences, the recognition result is unlikely to be completely correct

Method used

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  • Speech recognition method and speech recognition system
  • Speech recognition method and speech recognition system
  • Speech recognition method and speech recognition system

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Embodiment Construction

[0017] The present invention collects speech data input by different speakers, recognizes the sentences in the speech data, and confirms the correctness of the recognized sentences, so as to decide whether to use the speech data for speaker adaptation to generate the speaker's acoustic model. As the collected speech data increases, the acoustic model can be adjusted to be closer to the speaker's speech characteristics, and the accuracy of recognition can be increased by automatically switching to use a dedicated acoustic model for different speakers to recognize sentences. The above-mentioned collection of speech data and adjustment of the acoustic model are performed in the background, so they can be performed automatically without the user's knowledge or interference, thereby providing convenience in use.

[0018] figure 1 is a block diagram of a speech recognition system according to an embodiment of the present invention. figure 2 It is a flowchart of a speech recogniti...

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Abstract

Provided is a speech recognition method and a speech recognition system. The speech recognition method includes the steps of capturing speech features in speech data, recognizing speaker identification of the speech data according to the speech features, then using a first acoustic model to recognize statements in the speech data, calculating confidence scores of the recognized statements according to the recognized statements and the speech data, and judging whether the confidence scores exceed a threshold value. When the confidence scores exceed the threshold value, the recognized statements and the speech data are collected so as to use the speech data to carry out speaker adaptation of a second acoustic model corresponding to the speaker identification.

Description

technical field [0001] The present invention relates to a speech recognition system and method, and in particular to a speech recognition system and method that can be adjusted for different speakers. Background technique [0002] The automatic speech recognition system uses a speaker independent acoustic model to recognize the words spoken by the speaker. The speaker-unspecific model is established by using speech data of multiple speakers obtained from a large amount of speech corpus and known translation data. Although this method can produce a more balanced (average) non-specific speaker model, it may not be able to provide accurate identification results for different speakers who speak in a specific way, and if the user using the above system is not a native speaker If the speaker is a native speaker or a young child, the recognition accuracy of the system will drop significantly. [0003] A speaker-dependent acoustic model is established for a specific speaker, whic...

Claims

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Application Information

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IPC IPC(8): G10L15/06G10L17/04
Inventor N.C.巴达文庞台铭叶柏园V.K.巴帕那帕利亚代
Owner ASUSTEK COMPUTER INC
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