Vocal Tract Length Normalization for Statistical Parametric Speech Synthesis
نویسندگان
چکیده
منابع مشابه
Vocal Tract Length Normalization for Large Vocabulary Continuous Speech Recognition
Generally speaking, the speaker-dependence of a speech recognition system stems from speaker-dependent speech feature. The variation of vocal tract length and/or shape is one of the major source of inter-speaker variations. In this paper, we address several methods of vocal tract length normalization (VTLN) for large vocabulary continuous speech recognition: (1) explore the bilinear warping VTL...
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A novel method to account for dynamic speaker characteristic properties in a speech recognition system is presented. The estimated trajectory of a property can be constrained to be constant or to have a limited rate-of-change within a phone or a sub-phone state. The constraints are implemented by extending each state in the trained Hidden Markov Model by a number of property-value-specific sub-...
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Vocal tract length normalisation (VTLN) is a well known rapid adaptation technique. VTLN as a linear transformation in the cepstral domain results in the scaling and translation factors. The warping factor represents the spectral scaling parameter. While, the translation factor represented by bias term captures more speaker characteristics especially in a rapid adaptation framework without havi...
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One of the interesting topics on multimedia domain is concerned with empowering computer in order to speech production. Speech synthesis is granting human abilities to the computer for speech production. Data-based approach and process-based approach are the two main approaches on speech synthesis. Each approach has its varied challenges. Unit-selection speech synthesis and statistical parametr...
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In this paper, we propose a Region-based multi-parametric Vocal Tract Length Normalization (R-VTLN) algorithm for the problem of automatic speech recognition (ASR). The proposed algorithm extends the well-established mono-parametric utterance-based VTLN algorithm of Lee and Rose [1] by dividing the speech frames of a test utterance into regions and by warping independently the features correspo...
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ژورنال
عنوان ژورنال: IEEE Transactions on Audio, Speech, and Language Processing
سال: 2012
ISSN: 1558-7916,1558-7924
DOI: 10.1109/tasl.2012.2198058