Accent modification for speech recognition of non-native speakers using neural style transfer

Accent modification for speech recognition of non-native speakers using neural style transfer

Abstract Nowadays automatic speech recognition (ASR) systems can achieve higher and higher accuracy rates depending on the methodology applied and datasets used. The rate decreases significantly when the ASR system is being used with a non-native speaker of the language to be recognized. The main re...

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Bibliographic Details
Main Authors: Kacper Radzikowski, Le Wang, Osamu Yoshie, Robert Nowak
Format: Article
Language:English
Published: SpringerOpen 2021-02-01
Series:EURASIP Journal on Audio, Speech, and Music Processing
Subjects:
Speech recognition
Style transfer
Autoencoder
Non-native speaker
Machine learning
Neural network
Online Access:https://doi.org/10.1186/s13636-021-00199-3

Internet

https://doi.org/10.1186/s13636-021-00199-3

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