Improving Speech Recognition with Augmented Synthesized Data and Conditional Model Training
Author:
Affiliation:
1. AIspeech Ltd.,Suzhou,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10037756/10037573/10037977.pdf?arnumber=10037977
Reference24 articles.
1. AISHELL-1: An open-source Mandarin speech corpus and a speech recognition baseline
2. Automatic differentiation in pytorch;paszke,2017
3. SYNT++: Utilizing Imperfect Synthetic Data to Improve Speech Recognition
4. The 2020 ESPnet Update: New Features, Broadened Applications, Performance Improvements, and Future Plans
5. LPCNET: Improving Neural Speech Synthesis through Linear Prediction
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1. ASR Model Adaptation for Rare Words Using Synthetic Data Generated by Multiple Text-To-Speech Systems;2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC);2023-10-31
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