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Low-level synthesis parameters drive the parametric voice synthesizer for sound sample production.
For each text input, we first synthesized a statistical parametric voice.
For each text input, we first synthesized a statistical parametric voice and used the predicted phone/word durations to select units close to the predicted durations.
Cantor Digitalis is a performative singing synthesizer that is composed of two main parts: a chironomic control interface and a parametric voice synthesizer.
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Prediction of phrase-break locations: Using the audio and automatic transcriptions obtained from the ASR systems, we built statistical parametric voices using the Clustergen synthesizer [41] in the Festival framework [42, 43].
Also, a new scheme for the diagnosis of the voice using parametric method has been presented because that the existing methods cannot be applied in clinical case.
Because Cantor Digitalis is a parametric system, every aspect of voice quality can be controlled (e.g., vocal tract size, aperiodicities in the voice source, vowels, and so forth).
In some ways this is a practical consideration: Because current speech technologies do not hold a comprehensive parametric model of tone of voice, it is this manual intervention that makes the concept technically feasible.
Furthermore, a mono-dimensional version of the proposed procedure is shown experimentally to provide the best operational rate-distortion trade-off when coding a parametric representation (pitch, gain and voicing information) of the excitation signal.
To represent the voice samples in a parametric way, we have considered the cepstral representation as this has been found to be a more robust and reliable feature set for voice recognition than other forms of representation [16, 20].
The sound generation system is based on a parametric synthesizer that features a spectral voice source model, a vocal tract model consisting of parallel filters for vocalic formants and cascaded with anti-resonance for the spectral effect of hypo-pharynx cavities, and rules for parameter settings and source/filter dependencies between fundamental frequency, vocal effort, and formants.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com