Phonetic segmentation-based isolate word recognition method
A recognition method and speech segmentation technology, applied in speech recognition, speech analysis, instruments, etc., can solve the problem of short response time of speech recognition performance, and achieve the effect of improving the recognition response time and improving the recognition performance.
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[0020] according to figure 1 As shown, a method for identifying isolated words based on speech segmentation, the continuous HMM model obtained from speech training uses syllables or semi-syllables as primitives, and the trained primitive models are divided into syllables or semi-syllables of isolated words in the vocabulary The whole word model is obtained by splicing half-syllable sequences, and the Viterbi algorithm is used for recognition;
[0021] The specific steps are as follows:
[0022] (1) separate each syllable or semi-syllable of all isolated words in the vocabulary as a recognition unit;
[0023] (2) Record the average probability of continuous n frames of speech feature parameters to stay at the end of the first syllable or semi-syllable of each isolated word, reject isolated words whose probability value is less than the specified threshold, and select those probability values for comparison Large isolated words are used as the next matching object;
[0024]...
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