all AI news
Whispy: Adapting STT Whisper Models to Real-Time Environments
May 7, 2024, 4:44 a.m. | Antonio Bevilacqua, Paolo Saviano, Alessandro Amirante, Simon Pietro Romano
cs.LG updates on arXiv.org arxiv.org
Abstract: Large general-purpose transformer models have recently become the mainstay in the realm of speech analysis. In particular, Whisper achieves state-of-the-art results in relevant tasks such as speech recognition, translation, language identification, and voice activity detection. However, Whisper models are not designed to be used in real-time conditions, and this limitation makes them unsuitable for a vast plethora of practical applications. In this paper, we introduce Whispy, a system intended to bring live capabilities to the …
abstract analysis art arxiv become cs.lg cs.sd detection eess.as environments general however identification language realm real-time recognition results speech speech analysis speech recognition state tasks transformer transformer models translation type voice whisper
More from arxiv.org / cs.LG updates on arXiv.org
Efficient Data-Driven MPC for Demand Response of Commercial Buildings
2 days, 10 hours ago |
arxiv.org
Testing the Segment Anything Model on radiology data
2 days, 10 hours ago |
arxiv.org
Calorimeter shower superresolution
2 days, 10 hours ago |
arxiv.org
Jobs in AI, ML, Big Data
Software Engineer for AI Training Data (School Specific)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Python)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Tier 2)
@ G2i Inc | Remote
Data Engineer
@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania
Artificial Intelligence – Bioinformatic Expert
@ University of Texas Medical Branch | Galveston, TX
Lead Developer (AI)
@ Cere Network | San Francisco, US