all AI news
Wav2code: Restore Clean Speech Representations via Codebook Lookup for Noise-Robust ASR
April 19, 2024, 4:43 a.m. | Yuchen Hu, Chen Chen, Qiushi Zhu, Eng Siong Chng
cs.LG updates on arXiv.org arxiv.org
Abstract: Automatic speech recognition (ASR) has gained remarkable successes thanks to recent advances of deep learning, but it usually degrades significantly under real-world noisy conditions. Recent works introduce speech enhancement (SE) as front-end to improve speech quality, which is proved effective but may not be optimal for downstream ASR due to speech distortion problem. Based on that, latest works combine SE and currently popular self-supervised learning (SSL) to alleviate distortion and improve noise robustness. Despite the …
abstract advances arxiv asr automatic speech recognition cs.lg cs.sd deep learning eess.as front-end noise quality recognition restore robust speech speech recognition type via world
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
AI Research Scientist
@ Vara | Berlin, Germany and Remote
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Business Data Analyst
@ Alstom | Johannesburg, GT, ZA