Acoustic Model Adaptation Methods Based on Pronunciation Variability Analysis for Enhancing the Recognition of Voice of Non-Native Speaker and Apparatus Thereof
First Claim
1. An acoustic model adaptation method comprising the steps of:
- a pronunciation variation analysis step for examining a variation pronunciation of a non-native speaker through pronunciation analysis of a non-native speaker'"'"'s speech; and
a step for adapting an acoustic model by using the analyzed variation pronunciation so that the acoustic model may be adapted for the non-native speaker'"'"'s speech.
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Abstract
The example embodiment of the present invention provides an acoustic model adaptation method for enhancing recognition performance for a non-native speaker'"'"'s speech. In order to adapt acoustic models, first, pronunciation variations are examined by analyzing a non-native speaker'"'"'s speech. Thereafter, based on variation pronunciation of a non-native speaker'"'"'s speech, acoustic models are adapted in a state-tying step during a training process of acoustic models. When the present invention for adapting acoustic models and a conventional acoustic model adaptation scheme are combined, more-enhanced recognition performance can be obtained. The example embodiment of the present invention enhances recognition performance for a non-native speaker'"'"'s speech while reducing the degradation of recognition performance for a native speaker'"'"'s speech.
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Citations
10 Claims
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1. An acoustic model adaptation method comprising the steps of:
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a pronunciation variation analysis step for examining a variation pronunciation of a non-native speaker through pronunciation analysis of a non-native speaker'"'"'s speech; and a step for adapting an acoustic model by using the analyzed variation pronunciation so that the acoustic model may be adapted for the non-native speaker'"'"'s speech. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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Specification