Text is All You Need: Personalizing ASR Models using Controllable Speech
Synthesis

Text is All You Need: Personalizing ASR Models using Controllable Speech Synthesis

27 March 2023

Jen-Hao Rick Chang

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Papers citing "Text is All You Need: Personalizing ASR Models using Controllable Speech Synthesis"

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Title
Generative Data Augmentation Challenge: Zero-Shot Speech Synthesis for Personalized Speech Enhancement Jae-Sung Bae Anastasia Kuznetsova Dinesh Manocha John Hershey Trausti Kristjansson Minje Kim 113 0 0 23 Jan 2025
Style Equalization: Unsupervised Learning of Controllable Generative Sequence Models Jen-Hao Rick Chang A. Shrivastava H. Koppula Xiaoshuai Zhang Oncel Tuzel DiffM 79 16 0 06 Oct 2021
GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training Krishnateja Killamsetty D. Sivasubramanian Ganesh Ramakrishnan A. De Rishabh K. Iyer OOD 147 205 0 27 Feb 2021
Adaptation Algorithms for Neural Network-Based Speech Recognition: An Overview P. Bell Joachim Fainberg Ondˇrej Klejch Jinyu Li Steve Renals P. Swietojanski 88 78 0 14 Aug 2020
Conformer: Convolution-augmented Transformer for Speech Recognition Anmol Gulati James Qin Chung-Cheng Chiu Niki Parmar Yu Zhang ... Wei Han Shibo Wang Zhengdong Zhang Yonghui Wu Ruoming Pang 224 3,153 0 16 May 2020
Three Approaches for Personalization with Applications to Federated Learning Yishay Mansour M. Mohri Jae Hun Ro A. Suresh FedML 133 578 0 25 Feb 2020
Speech Recognition with Augmented Synthesized Speech Andrew Rosenberg Yu Zhang Bhuvana Ramabhadran Ye Jia Pedro J. Moreno Yonghui Wu Zelin Wu 65 128 0 25 Sep 2019
LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech Heiga Zen Viet Dang R. Clark Yu Zhang Ron J. Weiss Ye Jia Zhiwen Chen Yonghui Wu 104 956 0 05 Apr 2019
ESPnet: End-to-End Speech Processing Toolkit Shinji Watanabe Takaaki Hori Shigeki Karita Tomoki Hayashi Jiro Nishitoba ... Jahn Heymann Sanjeev Khudanpur Nanxin Chen Adithya Renduchintala Tsubasa Ochiai VLM 109 1,509 0 30 Mar 2018
To prune, or not to prune: exploring the efficacy of pruning for model compression Michael Zhu Suyog Gupta 194 1,278 0 05 Oct 2017