语音识别综述+数字语音识别.ppt

Speech Recognition 语音识别
——By Terry
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Speech Recognition
Speech recognition is a high technology of processing voice signal into corresponding texts mands by machine recognition and understanding.
Speech recognition technology has involved signal processing,
pattern recognition, probability theory and information theory, vocal mechanism, hearing mechanism and artificial intelligence.
Speech recognition technology is mainly consist of three module , including feature extraction, pattern matching technology and model training.
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Speech Recognition
The History of Speech Recognition Development
1959
Ten phoneme recognition system
Audry System,Bell Labs
20th,50s
late 60s to early 70s
LPC,DTW
VQ,HMM
Sphinx System,
Carnegie Mellon University,
ANN,HMM
80s
90s
IBM,Apple,
AT&T and NTT
A Hot Area in AI,
More processing Method,
Nowadays
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Speech Recognition
Category of method:
Isolated word recognition
Connected word recognition
Continuous speech Recognition
Specific person recognition
Non-specific person recognition
Small vocabulary
Median vocabulary
Large vocabulary
Infinite vocabulary
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Speech Recognition
Mainly Methods:
Template Matching
DTW(Dynamic Time Warping )
VQ(Vector Quantization)
HMM
DHMM(Discrete Hidden Markov Model)
CHMM(Continuous Hidden Markov Model)
SCHMM(Semi-Continuous Hidden Markov Model)
ANN(Artificial )
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Speech Recognition
Signal Pre-processing
Framming-5ms to 50ms
Endpoint detection-detect the starting point and terminal point
Speech Enhancement-inhibit noise and improve speech quality
ICA-ponent Analysis
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Speech Recognition
Feature Extraction
LPC-Linear Prediction coefficient
-Li