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Registered APPARATUS AND METHOD FOR LARGE VOCABULARY CONTINUOUS SPEECH RECOGNITION

CD-DNN-HMM 알고리즘 기반의 대어휘 연속 음성인식 시스템의 성능향상 방법
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Inventors
Sung Joo Lee, Chung Hoon, Kang Byung Ok, Park Jeon Gue, Lee Yunkeun
Application No.
15042309 (2016.02.12)
Publication No.
20160240190 (2016.08.18)
Registration No.
9805716 (2017.10.31)
Country
UNITED STATES
Project Code
14MS1500, Development of dialog-based spontaneous speech interface technology on mobile platform , Lee Yunkeun
Abstract
Provided is an apparatus for large vocabulary continuous speech recognition (LVCSR) based on a context-dependent deep neural network hidden Markov model (CD-DNN-HMM) algorithm. The apparatus may include an extractor configured to extract acoustic model-state level information corresponding to an input speech signal from a training data model set using at least one of a first feature vector based on a gammatone filterbank signal analysis algorithm and a second feature vector based on a bottleneck algorithm, and a speech recognizer configured to provide a result of recognizing the input speech signal based on the extracted acoustic model-state level information.
KSP Keywords
CD-DNN-HMM, Continuous Speech, Continuous Speech Recognition, DNN-HMM, Data Model, Deep neural network(DNN), Feature Vector, Gammatone filterbank, Hidden Markov, Large vocabulary, Markov model, Model set, Signal analysis, Speech Signal, Vector based, acoustic model, context-dependent, hidden Markov Model, large vocabulary continuous speech recognition, neural network, signal based, speech recognition, state level, training data
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Status Patent Country KIPRIS
Registered APPARATUS AND METHOD FOR LARGE VOCABULARY CONTINUOUS SPEECH RECOGNITION KOREA KIPRIS