Generating Synthetic Audio Data for Attention-Based Speech Recognition Systems-Reference-Cited by-同舟云学术

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Generating Synthetic Audio Data for Attention-Based Speech Recognition Systems

Published:2020-05 Issue: Volume: Page:
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Container-title:ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Rossenbach Nick,Zeyer Albert,Schluter Ralf,Ney Hermann

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9040208/9052899/09053008.pdf?arnumber=9053008

Cited by 48 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. Accurate synthesis of dysarthric Speech for ASR data augmentation;Speech Communication;2024-10

2. Multi-setting acoustic feature training for data augmentation of speech recognition;Acoustical Science and Technology;2024-07-01

3. Initial decoding with minimally augmented language model for improved lattice rescoring in low resource ASR;Sādhanā;2024-05-21

4. Emotion Recognition from Speech – an LSTM approach with the Tess Dataset;2024 5th International Conference on Innovative Trends in Information Technology (ICITIIT);2024-03-15

5. Principled Comparisons for End-to-End Speech Recognition: Attention vs Hybrid at the 1000-Hour Scale;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024

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