![Scientific and technical journal «Priborostroenie»](/images/mag-pr.png)
STUDY OF INFORMATIVE SPEECH FEATURES FOR AUTOMATIC SPEAKER IDENTIFICATION
![Scientific and technical journal «Priborostroenie»](/images/mag-pr.png)
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
- 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