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The objective of this work is to investigate the possibility of using Volterra filters to further improve speech modeling in terms of both the quality of speech and the number of filter coefficients. In particular, the ultimate goal is to present a method which is able to accurately predict a speech signal with a short prediction window. In order to(More)
This paper proposes a voice synthesizer to convert a single speech to multiple speeches. Pitch is an important voice characteristic of speech parameter and it is produced by the periodic vibration of the vocal-cords; the parameter most sensitive for human’s auditory sense. So if you change the pitch of the voice with several different scaling rates, you can(More)
In this paper, we proposed a new method that can improve the accuracy of cepstrum pitch detection and can reduce the processing time. We control the phase information of cepstrum for making the pitch peak maximum. So we extract the exact pitch period easily. We shorten the processing time by omitting the bit-reversing process from the FFT and IFFT(More)
It can be used to easily change or to maintain the naturalness and in-telligibility of quality in speech synthesis and to eliminate the personality for speaker-independence in speech recognition. In this paper, we proposed a new pitch detection algorithm. And Kalman filters are implemented for filtering speech contaminated by additive white noise or colored(More)
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