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In this paper we describe the utilisation of the diversity of different feature representations for speaker, emotion and language verification. The underlying principle behind the method is that some features are better at discriminating some classes and other features for other classes. Studies are done on four features and their combinations. An information theoretic procedure is described which...
This paper describes ways to improve prosody modeling in syllable-based concatenative speech synthesis systems for two Indian languages, namely Hindi and Tamil, within the unit selection paradigm. The syllable is a larger unit than the diphone and contains most of the coarticulation information. Although syllable-based synthesis is quite intelligible compared to diphone based systems, naturalness...
This paper investigates the use of Mel Filterbank Slope (MFS) feature for speaker recognition tasks. The Mel filterbank slope feature emphasises formants in comparison with that of the conventional Mel Filterbank Cepstral Coefficients (MFCC). The effectiveness of this feature is evaluated on the NIST 2003 speaker recognition database. Results show significant gain in performance on speaker identification...
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