Journal
Scientific and technical journal «Priborostroenie»
UDK81'322.6
Issue:2 (57)
Download PDF366 Kbyte
STATISTICAL METHODS FOR AUTOMATIC PROSODIC BREAK DETECTION IN A TEXT-TO-SPEECH SYSTEM
Annotation
Application of statistical methods for predicting positions and durations of prosodic breaks in a text-to-speech system is proposed. The methods are shown to ensure better results as compared with a baseline rule-based system.
Keywords
Постоянный URL
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
- 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