Journal ArticleDOI
Voice transformation using PSOLA technique
H. Valbret,Eric Moulines,J. P. Tubach +2 more
- Vol. 11, Iss: 2, pp 175-187
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TLDR
A new system for voice conversion is described that combines a PSOLA (Pitch Synchronous Overlap and Add)-derived synthesizer and a module for spectral transformation, which produces a satisfyingly natural “transformed” voice.Abstract:
In this contribution, a new system for voice conversion is described. The proposed architecture combines a PSOLA (Pitch Synchronous Overlap and Add)-derived synthesizer and a module for spectral transformation. The synthesizer based on the classical source-filter decomposition allows prosodic and spectral transformations to be performed independently. Prosodic modifications are applied on the excitation signal using the TD-PSOLA scheme; converted speech is then synthesized using the transformed spectral parameters. Two different approaches to derive spectral transformations, borrowed from the speech-recognition domain, are compared: Linear Multivariate Regression (LMR) and Dynamic Frequency Warping (DFW). Vector-quantization is carried out as a preliminary stage to render the spectral transformations dependent of the acoustical realization of sounds. A formal listening test shows that the synthesizer produces a satisfyingly natural “transformed” voice. LMR proves yet to allow a slightly better conversion than DFW. Still there is room for improvement in the spectral transformation stage.read more
Citations
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Proceedings ArticleDOI
Emotional speech synthesis based on DNN and PAD emotional state model
TL;DR: An emotional speech synthesis method based on deep neural network (DNN) and Pleasure-Arousal-Dominance (PAD) emotional state model and the PAD model is proposed to generate acoustic features and prosodic features of synthesized emotion speech.
A methodforsimultaneously extract thefundamental frequency ofaspeech signal and segment it
TL;DR: The voiced/unvoiced segmentation of natural speech signals and the determination of the fundamental frequency f0 are dealt with and the use of a first partial enhancement and of the Analytic Signal extraction techniques allows this.
Proceedings ArticleDOI
A voice conversion method mapping segmented frames with linear multivariate regression
Hung-Yan Gu,Jia-Wei Chang +1 more
TL;DR: In this article, a different spectral mapping mechanism based on linear multivariate regression (LMR) is proposed to alleviate the problem of spectral over-smoothing usually encountered by a GMM-based method.
Journal ArticleDOI
A Study about the Users's Preferred Playing Speeds on Categorized Video Content using WSOLA method
TL;DR: It is proposed that various fine-speed adjustments are needed to accommodate users’ preferred video consumption to solve the pitch distortion in the audio-processing area.
References
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Journal ArticleDOI
Pitch-synchronous waveform processing techniques for text-to-speech synthesis using diphones
TL;DR: In a common framework several algorithms that have been proposed recently, in order to improve the voice quality of a text-to-speech synthesis based on acoustical units concatenation based on pitch-synchronous overlap-add approach are reviewed.
Proceedings ArticleDOI
Voice conversion through vector quantization
TL;DR: The authors propose a new voice conversion technique through vector quantization and spectrum mapping which makes it possible to precisely control voice individuality.