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The AT&T text-to-speech (TTS) synthesis system has been used as a framework for experimenting with a perceptually-guided data-driven approach t o s p e e c h s y n thesis, with primary focus on data-driven elements in the \back end". Statistical training techniques applied to a large corpus are used to make decisions about predicted speech e v ents and(More)
—Recent studies have shown that a concatenative speech synthesis system with a large database produces more natural sounding speech. We apply this paradigm to the design of improved very low bit rate speech coders (sub 1000 b/s). The proposed speech coder consists of unit selection, prosody coding, prosody modification and waveform concatenation. The(More)
It is well known that a strong relationship exists between human voices and the movement of articulatory facial muscles. In this paper, we utilize this knowledge to implement an automatic speech recognition scheme which uses solely surface electromyogram (EMG) signals. The sequence of EMG signals for each word is modelled by a hidden Markov model (HMM)(More)
In this paper, we describe a voice transformation method which c hanges source speaker's acoustic features to those of a target speaker. The method developed here, acoustic features are divided into two parts, linear and nonlinear parts. Linear parts are characterized by LPC cepstrum coecients which are obtained from LP analysis. As for nonlinear part,(More)
Current induced spin-orbit effective magnetic fields in metal/ferromagnet/oxide trilayers provide a new way to manipulate the magnetization, which is an alternative to the conventional current induced spin transfer torque arising from noncollinear magnetization. Ta/CoFeB/MgO structures are expected to be useful for non-volatile memories and logic devices(More)