Journal
Scientific and technical journal «Priborostroenie»
UDK004.934
Issue:2 (57)
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CROSS-VALIDATION STATE CONTROL IN ACOUSTIC MODEL TRAINING OF AUTOMATIC SPEECH RECOGNITION SYSTEM
Annotation
A technique is presented for optimization of Gaussian mixture models (GMM) size during the training of hidden Markov models (HMM), an essential part of many of the automatic speech recognition systems. Application of the technique increases recognition accuracy by avoiding the over-fitting effect, and reduces significantly computational load of the recognition procedure.
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Articles in current issue
- ANALYSIS OF LANGUAGE STATISTICAL ASPECTS AND THEIR GENDER VARIATIONS BY THE EXAMPLE OF LITHUANIAN
- DETERMINATION OF CHANNEL-INDEPENDENT INFORMATION INDICATORS
- ANALYSIS OF DATA BALANCING PROBLEM IN ACOUSTIC MODELING OF AUTOMATIC SPEECH RECOGNITION SYSTEM
- STATISTICAL METHODS FOR AUTOMATIC PROSODIC BREAK DETECTION IN A TEXT-TO-SPEECH SYSTEM
- TIME DELAY ESTIMATION OF AUDIO SIGNALS USING THEIR ENVELOPES
- SPEECH SIGNALS STOCHASTICITY AND ITS EVALUATION
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- TARGET AND NON-TARGET SPEECH SEPARATION USING A DUAL MICROPHONE SYSTEM
- EXPERT SYSTEMS AND METHODS FOR SPEAKER IDENTIFICATION
- CONCEPT OF THE NATIONAL VOICE ACCOUNTING AND VOICE BIOMETRIC SEARCH SYSTEM
- ANALYSIS OF MANIFOLD LEARNING METHODS APPLICABILITY TO SPEAKER RECOGNITION
- EMPLOYMENT OF DTW-BASED HMM-GMM MULTI-SESSION TRAINING IN TEXTDEPENDENT SPEAKER VERIFICATION
- STUDY OF VOICE VERIFICATION SYSTEM TOLERANCE TO SPOOFING ATTACKS USING A TEXT-TO-SPEECH SYSTEM