Text is all You Need: Personalizing ASR Models Using Controllable Speech Synthesis-Reference-Cited by-同舟云学术

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Text is all You Need: Personalizing ASR Models Using Controllable Speech Synthesis

Published:2023-06-04 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Yang Karren¹,Hu Ting-Yao¹,Chang Jen-Hao Rick¹,Swetha Koppula Hema¹,Tuzel Oncel¹

Affiliation:

1. Apple

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10094559/10094560/10096971.pdf?arnumber=10096971

Reference30 articles.

1. Adaptation Algorithms for Neural Network-Based Speech Recognition: An Overview

2. KL-divergence regularized deep neural network adaptation for improved large vocabulary speech recognition

3. Speaker Augmentation for Low Resource Speech Recognition

4. Generating Synthetic Audio Data for Attention-Based Speech Recognition Systems

5. Grad-match: Gradient matching based data subset selection for efficient deep model training;killamsetty;ICML,2021

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Text-Only Unsupervised Domain Adaptation for Neural Transducer-Based ASR Personalization Using Synthesized Data;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

2. Improved Child Text-to-Speech Synthesis through Fastpitch-based Transfer Learning;2023 International Conference on Speech Technology and Human-Computer Dialogue (SpeD);2023-10-25

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