Speech Synthesis - Automatic Segmentation
نویسندگان
چکیده
منابع مشابه
Automatic segmentation of recorded speech into syllables for speech synthesis
Concatenated waveform text-to-speech synthesis systems require an inventory of stored waveforms from which units of speech can be extracted for subsequent rearrangement and concatenation as needed. In previous papers [1], [2] we have argued that for natural sounding speech the syllable should be the preferred unit. The mark-up of the stored waveforms for segmentation into syllables must be prec...
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This paper deals with the automatic segmentation for Czech Concatenative speech synthesis. Statistical approach to speech segmentation using hidden Markov models (HMMs) is applied in the baseline system [1]. Several experiments that concern various issues in the process of building the segmentation system, such as speech parameterization or HMM initialization problems, are described here. An ob...
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A new automatic speech segmentation procedure, called the \Blind" speech segmentation, is presented. This procedure allows a speech sample to be segmented into sub-word units without the knowledge of any linguistic information (such as, orthographic or phonetic transcription). Hence, this procedure involves nding the optimal number of sub-word segments in the given speech sample, before locatin...
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ABSTRACT: In this paper we review aspects of our automatic speech segmentation system that has been utilised in conjunction with our speech synthesis research. The speech segmentation system is based on a hidden Markov model phone recogniser using training strategies optimised for the segmentation task. Our research includes an analysis of the various aspects of the phone recogniser’s design an...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2014
ISSN: 0975-8887
DOI: 10.5120/17172-7253