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Adapting TTS models For New Speakers using Transfer Learning
v1v2 (latest)

Adapting TTS models For New Speakers using Transfer Learning

12 October 2021
Paarth Neekhara
Jason Chun Lok Li
Boris Ginsburg
ArXiv (abs)PDFHTMLGithub

Papers citing "Adapting TTS models For New Speakers using Transfer Learning"

6 / 6 papers shown
Stable-TTS: Stable Speaker-Adaptive Text-to-Speech Synthesis via Prosody Prompting
Stable-TTS: Stable Speaker-Adaptive Text-to-Speech Synthesis via Prosody PromptingIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Wooseok Han
Minki Kang
Changhun Kim
Eunho Yang
181
5
0
31 Dec 2024
ADAPTERMIX: Exploring the Efficacy of Mixture of Adapters for
  Low-Resource TTS Adaptation
ADAPTERMIX: Exploring the Efficacy of Mixture of Adapters for Low-Resource TTS AdaptationInterspeech (Interspeech), 2023
Ambuj Mehrish
Abhinav Ramesh Kashyap
Yingting Li
Navonil Majumder
Soujanya Poria
251
14
0
29 May 2023
Residual Adapters for Few-Shot Text-to-Speech Speaker Adaptation
Residual Adapters for Few-Shot Text-to-Speech Speaker Adaptation
Nobuyuki Morioka
Heiga Zen
Nanxin Chen
Yu Zhang
Yifan Ding
216
18
0
28 Oct 2022
Low-Resource Multilingual and Zero-Shot Multispeaker TTS
Low-Resource Multilingual and Zero-Shot Multispeaker TTS
Florian Lux
Julia Koch
Ngoc Thang Vu
246
27
0
21 Oct 2022
A Multi-Stage Multi-Codebook VQ-VAE Approach to High-Performance Neural
  TTS
A Multi-Stage Multi-Codebook VQ-VAE Approach to High-Performance Neural TTSInterspeech (Interspeech), 2022
Haohan Guo
Fenglong Xie
Frank Soong
Xixin Wu
Helen M. Meng
222
17
0
22 Sep 2022
Language-Agnostic Meta-Learning for Low-Resource Text-to-Speech with
  Articulatory Features
Language-Agnostic Meta-Learning for Low-Resource Text-to-Speech with Articulatory FeaturesAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Florian Lux
Ngoc Thang Vu
278
35
0
07 Mar 2022
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