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Voice identification method and apparatus

A speech recognition and speech signal technology, applied in speech recognition, speech analysis, instruments, etc., can solve the problems of easy confusion and poor recognition performance, and achieve the effect of reducing decoding paths, improving accuracy and improving decoding speed.

Active Publication Date: 2016-04-27
BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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Problems solved by technology

However, based on the state modeling method, in the process of speech recognition, when recognizing between two pronunciation units, it is easy to be confused and the recognition performance is poor.

Method used

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  • Voice identification method and apparatus
  • Voice identification method and apparatus
  • Voice identification method and apparatus

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Embodiment Construction

[0022] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0023] In the description of the present invention, it should be understood that the term "plurality" refers to two or more than two; sex.

[0024] The speech recognition method and device according to the embodiments of the present invention will be described below with reference to the accompanying drawings.

[0025] A speech recognition method, comprising the following steps: receiving a speech signal; decoding the speech signal according to a pre-established acoustic model, a language model and a decoding network, and dynamically ad...

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Abstract

The invention provides a voice identification method and apparatus. The voice identification method comprises the following steps of receiving a voice signal; performing decoding on the voice signal according to a pre-established acoustic model, a linguistic model and a decoding network, and dynamically adding a blank unit in the decoding process to obtain an optimized decoding route with the added blank unit, wherein the acoustic model is obtained based on connectionist temporal classification training; the acoustic model comprises a basic pronouncing unit and the blank unit; the decoding network consists of multiple decoding routes formed by the basic pronouncing unit; and outputting the optimized decoding route to be used as the identification result of the voice signal. According to the voice identification method, the accuracy of voice identification can be improved, and the decoding speed in the identification process is improved.

Description

technical field [0001] The invention relates to the technical field of voice recognition, in particular to a voice recognition method and device. Background technique [0002] Most of the traditional speech recognition technologies are based on state modeling speech recognition models for speech recognition. For example, speech recognition is performed based on a Hidden Markov Model (Hidden Markov Model; hereinafter referred to as: HMM). HMM can be regarded as a double stochastic process in mathematics: one is to use the Markov chain with finite number of states to simulate the implicit random process of the statistical characteristics of the speech signal, and the other is to use the Markov chain with each A stochastic process of a state-associated sequence of observations. In this modeling method, a phoneme or a syllable is considered to be divided into multiple states without physical meaning, and then a discrete or continuous Gaussian model or a deep learning model is ...

Claims

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Application Information

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IPC IPC(8): G10L15/06G10L19/008G10L15/26
CPCG10L15/06G10L15/063G10L15/26G10L19/008G10L2015/0631G10L15/08G10L15/14G10L15/183G10L15/02
Inventor 钱胜潘复平
Owner BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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