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The speech synthesis is technology that let a computer do natural utterance like the human being.
We push forward a study to make more fluent and natural utterance.
Various technique such as the unit choice type is suggested to a voice synthesis, but we treat technique based on a statistical frame such as Hidden Markov model (HMM) mainly in our laboratory.
The HMM speech synthesis system is based on HMM, and this models quantity of characteristic to be included in a sound statistically and synthesize a sound.
This is technology that synthesizes a sound from an arbitrary text.
This is called Text to Speech (TTS) too.
This is technology that creates the models of a new speaker by putting the model of plural speakers together.
demonstration page
This is technology that expresses plural speakers and styles of the speech in model space by a little parameter and synthesizes the sound of arbitrary quality of voice by adding heaviness to those parameters.
This is technology that synthesizes an arbitrary song by giving a text and score.
We can expect various uses in the field of entertainment and the amusement.
This is technology that converts the sound of a certain speaker into as if the sound of another speaker.
This learns models from the utterance data of two speakers and converts the utterance data of one speaker into the data of other speaker.
This is technology that converts the quality of voice of the aim speaker by converting a model parameter of HMM from a little data of the speaker of the aim.