Journal
Scientific and technical journal «Priborostroenie»
UDK621.391.037.372
Issue:2 (56)
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ALGORITHMS FOR DETECTION OF TYPICAL NOISES AND INTERFERING BURSTS IN SPEECH SIGNALS
Annotation
Methods of typical additive interfering noises and bursts detection in speech processing systems are analyzed and discussed. Detectors influence to the performance of speaker verification system is investigated experimentally. New improved algorithms for typical noises detection are proposed.
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Articles in current issue
- A PHONETICALLY RICH TEXT FOR FUNDAMENTAL AND APPLIED RESEARCH ON RUSSIAN SPEECH VARIABILITY
- SUPPRESSION OF ACOUSTIC NOISE IN AUDIO DEVICE USING ASYNCHRONOUS REFERENCE SIGNAL
- MODERN MOBILE SYSTEM FOR TRACK WARNING
- AUTOMATION OF NEW VOICE CREATION PROCEDURE FOR A RUSSIAN TTS SYSTEM
- A HYBRID TECHNOLOGY FOR TTS SYSTEM BASED ON HIDDEN MARKOV MODELS AND UNIT SELECTION ALGORITHM
- ASSESSMENT OF SYNTHESIZED SPEECH QUALITY: PROBLEMS AND SOLUTIONS
- APPLICATION OF LINGUISTIC ANALYSIS FOR TEXT NORMALIZATION AND HOMONYMY RESOLUTION IN RUSSIAN TEXT-TO-SPEECH SYSTEM
- STUDY OF INFORMATIVE SPEECH FEATURES FOR AUTOMATIC SPEAKER IDENTIFICATION
- COMPARISON OF VARIOUS MIXTURES OF GAUSSIAN PLDA-MODELS IN THE PROBLEM OF TEXT-INDEPENDENT SPEAKER VERIFICATION
- GINI CRITERION SVM FOR EMOTION CLASSIFICATION FRAMEWORK
- FEATURES OF HUMAN-MACHINE INTERFACE OF MODERN BIOMETRIC IDENTIFICATION SYSTEMS
- EVALUATION OF THE CONFIDENCE INTERVAL FOR DECISION PREDICTION OF AN ENSEMBLE OF CLASSIFIERS