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Microphone-array-based speech recognition system and method

A microphone array and speech recognition technology, applied in the field of speech recognition system, can solve the problems of mismatch between test environment and training environment, information without considering noise, etc.

Active Publication Date: 2013-01-30
IND TECH RES INST
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The corpus required for the speech model 110 training needs to be re-recorded and filtered, and the noise information is not considered, so the settings of the test environment and the training environment may not match

Method used

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  • Microphone-array-based speech recognition system and method

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Embodiment Construction

[0044] In an implementation example of the microphone array-based speech recognition system and method of the present disclosure, the noise mask ( noise masking) to suppress the part of the spectrum that is disturbed by noise in the speech feature vector, so as to improve the speech recognition rate. The embodiments of the present disclosure aim at adjusting the parameters of the noise mask in environments with different noises (such as driving), so as to adapt to the voice application in the actual environment. The embodiment of the present disclosure combines noise masking and speech recognition into one, and uses the existing speech model without re-recording the corpus or training the speech model, providing better human-computer interaction with speech in a noisy environment Voice interface and user experience.

[0045] In the embodiment of the present disclosure, using at least one speech model Λ SP with at least one filled model Λ F , and calculate the confidence val...

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Abstract

Disclosed is a microphone-array-based speech recognition system and method. The speech recognition system combines a noise cancelling technique for cancelling noise of input speech signals from an array of microphones, according to at least an inputted threshold. The system receives noise-cancelled speech signals outputted by a noise masking module through at least a speech model and at least a filler model, then computes a confidence measure score with the at least a speech model and the at least a filler model for each threshold and each noise-cancelled speech signal, and adjusts the threshold to continue the noise cancelling for achieving a maximum confidence measure score, thereby outputting a speech recognition result related to the maximum confidence measure score.

Description

technical field [0001] The present disclosure relates to a Microphone-Array-Based speech recognition system and method. Background technique [0002] In recent years, the number of users of mobile devices such as tablet computers and mobile phones has increased significantly, and automotive electronics and robots have also developed rapidly. It can be seen from these fields that the demand for voice applications in the future will grow rapidly. Google's Nexus One and Motorola's Droid brought Active Noise Cancellation (ANC) technology to the mobile phone market, improving the input end of voice applications, and making the back-end voice recognition or its applications perform better, so that users can Get a better experience. In recent years, mobile phone manufacturers have also actively conducted research on noise cancellation technology for mobile phones. [0003] There are two types of common Robust speech recognition technologies. One is the two-stage robust speech r...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L15/20G10L21/02H04R3/00
CPCH04R3/005G10L21/02H04R1/406G10L21/0208G10L15/142G10L2021/02166H04R3/00G10L15/20
Inventor 廖宪正
Owner IND TECH RES INST
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