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This paper studies the use of glottal inverse filtering together with a biomechanical model of the vocal folds to simulate the glottal flow waveform. The glottal flow waveform is first estimated by inverse filtering the acoustic speech pressure signal of natural speech. The estimated glottal flow is used as a template in an optimization process which searches for a set of parameters for a deterministic vocal fold model such that the model output reproduces the estimated glottal flow. The results indicate that the method can reproduce the main deterministic components of the glottal flow signal with good accuracy.
|Title of host publication||INTERSPEECH 2012 13th Annual Conference of the International Speech Communication Association|
|Publisher||International Speech Communication Association|
|Number of pages||4|
|Publication status||Published - 2012|
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Simple4All: Speech synthesis that improves through adaptive learning
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