DETERMINATION OF CHANNEL-INDEPENDENT INFORMATION INDICATORS
Annotation
Information indicators of speech are analyzed for creation of channel-independent feature space aimed at improvement of speaker recognition system efficiency. For the problem of determination of similarity between several audio recordings, the optimal set of channel-independent information feature vectors is determined experimentally with the use of dynamic time warping.
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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
- CROSS-VALIDATION STATE CONTROL IN ACOUSTIC MODEL TRAINING 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
- ASSESSMENT OF FUNCTIONAL SAFETY OF DETECTION OF VIBROACOUSTIC SIGNAL FROM ARRIVING TRAIN WITH ENERGY SENSOR
- 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