Journal
Scientific and technical journal «Priborostroenie»
UDK004.93+57.087.1
Issue:2 (56)
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STUDY OF INFORMATIVE SPEECH FEATURES FOR AUTOMATIC SPEAKER IDENTIFICATION
Annotation
The most popular speech features used in automatic speaker recognition systems are studied. Results of experiments with speech database collected in different acoustic environments (wide range of signal/noise levels and reverberation times) and over different channels are reported.
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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
- ALGORITHMS FOR DETECTION OF TYPICAL NOISES AND INTERFERING BURSTS IN SPEECH SIGNALS
- 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
- 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