Voice decoding method based on mixed network

A technology of confusing network and speech decoding, applied in the field of speech decoding based on confusing network, to reduce the workload, reduce the network, and improve the decoding rate.
CN1773606AActive Publication Date: 2006-05-17INST OF ACOUSTICS CHINESE ACAD OF SCI +1
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
INST OF ACOUSTICS CHINESE ACAD OF SCI
Publication Date
2006-05-17

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Abstract

A method for decoding voice based on confusion network includes carrying out deep priority frame synchronous Viterbi ¿C Beam search on voice character and outputting N ¿C Best sentence, generating confusion network by carrying out two stage cluster for N¿C best sentence according to time and phoneme similarity algorithm, matching and searching out optimum result on confusion network by using posterior probability maximum as criterion.
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Description

technical field

[0001] The invention belongs to the field of speech recognition, and in particular relates to a speech decoding method based on a confusion network. Background technique

[0002] The decoding process, also known as the recognition process, is an important part of the speech recognition system. Its function is: under the given acoustic model and language model, for the input acoustic feature vector sequence, automatically search for the optimal matching word string from a certain search space, and finally convert the speech signal into text information .

[0003] figure 1 It is a structural diagram of a known speech recognition system. As shown in the figure, the feature extraction module processes the input speech signal in frames, usually with a frame length of 20ms and a frame shift of 10ms; commonly used features include MFCC features, LPC features and PLP features. After feature extraction, the speech signal is transformed into a sequence of feature v...

Claims

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