Apparatus for speech recognition using multiple acoustic model and method thereof

摘要

Disclosed are an apparatus for recognizing voice using multiple acoustic models according to the present invention and a method thereof. An apparatus for recognizing voice using multiple acoustic models includes a voice data database (DB) configured to store voice data collected in various noise environments; a model generating means configured to perform classification for each speaker and environment based on the collected voice data, and to generate an acoustic model of a binary tree structure as the classification result; and a voice recognizing means configured to extract feature data of voice data when the voice data is received from a user, to select multiple models from the generated acoustic model based on the extracted feature data, to parallel recognize the voice data based on the selected multiple models, and to output a word string corresponding to the voice data as the recognition result.

主权项

1. An apparatus for recognizing voice using multiple acoustic models, the apparatus comprising:
a voice data database (DB) configured to store voice data collected in various noise environments; a model generating means configured to perform classification for each speaker and environment based on the collected voice data, and to generate a Gaussian mixture model (GMM) acoustic model for calculating a similarity and a hidden Markov model (HMM) acoustic model for recognizing voice of a binary tree structure as the classification result; and a voice recognizing means configured to extract feature data of voice data when the voice data is received from a user, to select multiple models from the generated HMM acoustic model using the generated GMM acoustic model based on the extracted feature data, to parallel recognize the voice data based on the selected multiple models, and to output a word string corresponding to the voice data as the recognition result, wherein the voice recognizing means calculates a similarity between the extracted feature data and the generated GMM acoustic model and HMM acoustic models, and repeats a process of selecting a model until final N models are obtained in a descending order of the similarity.