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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Book ChapterDOI
Towards Physically Interpretable Parametric Voice Conversion Functions
TL;DR: The resulting method can be used to study the differences between source and target voices in terms of formant location in frequency, spectral tilt and amplitude in specific bands.
Dissertation
Spectral mapping for voice conversion
TL;DR: This thesis proposes a method to improve the voice conversion function by benefiting from nonparallel data of background speakers and directly modelling the high-dimensional spectral features using exemplars found in the training data.
Journal ArticleDOI
Transformation of Vocal Characteristics: A Review of Literature
TL;DR: It is suggested to use the modulation theory of speech as a base for research on high quality voice transformation and to pave the way for easily transposing the existing voice transformation methods to emotion-related voice quality transformation and speaking style transformation.
DissertationDOI
Conversão de voz inter-linguística
TL;DR: A critical survey that combines historical presentation to technical discussion while pointing out advantages and drawbacks of each technique is provided, to develop new tools to implement a text-independent crosslingual voice conversion system of high quality.
Proceedings Article
Constructing Social Intentional Corpora to Predict Click-Through Rate for Search Advertising
Yi Ting Chen,Hung Yu Kao +1 more
TL;DR: A social intentional model with advertising based features to forecast future trend on ads’ click-through rate (CTR) and results indicate that with knowing public opinions or occurring events beforehand can efficiently enhance click prediction.
References
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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.