Parametric representations for speech synthesis
نویسندگان
چکیده
منابع مشابه
Study on Unit-Selection and Statistical Parametric Speech Synthesis Techniques
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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Speech synthesis can be produced using many v aried techniques from formant/parametric synthesis to concatenation approaches. This paper present s a n o v el technique 1 , based on the nonlinear dynamics of speech rather than than the time or frequency domain representations. It is demonstrated that the technique can be implemented eectively and used to produce high quality synthesised speech 2 .
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Hidden Markov model (HMM)-based parametric speech synthesis has become a mainstream speech synthesis method in recent years. This method is able to synthesise highly intelligible and smooth speech sounds. In addition, it makes speech synthesis far more flexible compared to the conventional unit selection and waveform concatenation approach. Several adaptation and interpolation methods have been...
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Training a high quality acoustic model with a limited database and synthesizing a new speaker’s voice with a few utterances have been hot topics in deep neural network (DNN) based statistical parametric speech synthesis (SPSS). To solve these problems, we built a unified framework for speaker adaptive training as well as speaker adaptation on Bidirectional Long ShortTerm Memory with Recurrent N...
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Conventional statistical parametric speech synthesis relies on decision trees to cluster together similar contexts, resulting in tied-parameter context-dependent hidden Markov models (HMMs). However, decision tree clustering has a major weakness: it use hard division and subdivides the model space based on one feature at a time, fragmenting the data and failing to exploit interactions between l...
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تاریخ انتشار 1987