Registered
APPARATUS AND METHOD FOR LARGE VOCABULARY CONTINUOUS SPEECH RECOGNITION
- Inventors
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Sung Joo Lee, Chung Hoon, Kang Byung Ok, Park Jeon Gue, Lee Yunkeun
- Application No.
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15042309 (2016.02.12)
- Publication No.
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20160240190 (2016.08.18)
- Registration No.
- 9805716 (2017.10.31)
- Country
- UNITED STATES
- Project Code
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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
- Family
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