Towards Identity Preserving Normal to Dysarthric Voice Conversion-Reference-Cited by-同舟云学术

Towards Identity Preserving Normal to Dysarthric Voice Conversion

Published:2022-05-23 Issue: Volume: Page:
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Container-title:ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Huang Wen-Chin¹,Halpern Bence Mark²,Phillip Violeta Lester¹,Scharenborg Odette²,Toda Tomoki¹

Affiliation:

1. Nagoya University,Japan

2. Delft University of Technology,Multimedia Computing Group,Delft,The Netherlands

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9745891/9746004/09747550.pdf?arnumber=9747550

Reference23 articles.

1. Dysarthric speech database for universal access research

2. Adversarial Data Augmentation for Disordered Speech Recognition

3. Synthesis of New Words for Improved Dysarthric Speech Recognition on an Expanded Vocabulary

4. Sequence-to-Sequence Acoustic Modeling for Voice Conversion

5. Non-parallel Voice Conversion based on Hierarchical Latent Embedding Vector Quantized Variational Autoencoder;tuan;Joint Workshop for the Blizzard Challenge and Voice Conversion Challenge 2020,2020

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