Make More of Your Data: Minimal Effort Data Augmentation for Automatic Speech Recognition and Translation

27 October 2022

Papers citing "Make More of Your Data: Minimal Effort Data Augmentation for Automatic Speech Recognition and Translation"

7 / 7 papers shown

Title
Prepending or Cross-Attention for Speech-to-Text? An Empirical Comparison Tsz Kin Lam Marco Gaido Sara Papi L. Bentivogli Barry Haddow 36 0 0 04 Jan 2025
StreamAtt: Direct Streaming Speech-to-Text Translation with Attention-based Audio History Selection Sara Papi Marco Gaido Matteo Negri L. Bentivogli 64 4 0 10 Jun 2024
Joint Speech Transcription and Translation: Pseudo-Labeling with Out-of-Distribution Data Mozhdeh Gheini Tatiana Likhomanenko Matthias Sperber Hendra Setiawan 30 5 0 20 Dec 2022
SegAugment: Maximizing the Utility of Speech Translation Data with Segmentation-based Augmentations Ioannis Tsiamas José A. R. Fonollosa Marta R. Costa-jussá 41 6 0 19 Dec 2022
MixSpeech: Data Augmentation for Low-resource Automatic Speech Recognition Linghui Meng Jin Xu Xu Tan Jindong Wang Tao Qin Bo Xu VLM 64 77 0 25 Feb 2021
Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition Yu Zhang James Qin Daniel S. Park Wei Han Chung-Cheng Chiu Ruoming Pang Quoc V. Le Yonghui Wu VLM SSL 146 308 0 20 Oct 2020
Listening while Speaking: Speech Chain by Deep Learning Andros Tjandra S. Sakti Satoshi Nakamura AuLLM 123 165 0 16 Jul 2017