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In this thesis, several topics of signal processing for Mandarin
speech and
singing signal are studied. First, the technique of processing
some utterances of a female speaker in order to add her voice
to a Mandarin TTS system is studied.
In this work, we first automatically segment all utterances into
syllable segments, and then manually extract
waveform templates of 411 synthesis units of base-syllable.
Some prosodic parameters are then extracted and used to
calculate their first- and second-order statistics in order
to adapt the prosodic information synthesis to the style of
the new speaker. Second, an LP model-based speech
processing technique is proposed. The input speech signal is
processed to shift the key, to change the speed, to simulate
the echo effect, and to make a spectral transform. Last,
a time-domain processing scheme for singing signal is discussed.
The input singing signal is processed to shift the key, to
change the speed, and to simulate the echo effect. Informal
listening tests confirmed that all these proposed methods
function well
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