Vocal Effort Based Speaking Style Conversion Using Vocoder Features and Parallel Learning

Vocal Effort Based Speaking Style Conversion Using Vocoder Features and Parallel Learning

Speaking style conversion (SSC) is the technology of converting natural speech signals from one style to another. In this study, we aim to provide a general SSC system for converting styles with varying vocal effort and focus on normal-to-Lombard conversion as a case study of this problem. We propos...

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Bibliographic Details
Main Authors: Shreyas Seshadri, Lauri Juvela, Okko Rasanen, Paavo Alku
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Bayesian GMM
DNN
GlottDNN
Lombard speech
pulse model in log domain
speaking style conversion
Online Access:https://ieeexplore.ieee.org/document/8631106/

Internet

https://ieeexplore.ieee.org/document/8631106/

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