Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Tathe, Aniket"'
This research addresses the challenge of training an ASR model for personalized voices with minimal data. Utilizing just 14 minutes of custom audio from a YouTube video, we employ Retrieval-Based Voice Conversion (RVC) to create a custom Common Voice
Externí odkaz:
http://arxiv.org/abs/2403.00212
Speech has long been a barrier to effective communication and connection, persisting as a challenge in our increasingly interconnected world. This research paper introduces a transformative solution to this persistent obstacle an end-to-end speech co
Externí odkaz:
http://arxiv.org/abs/2401.06183
This paper proposes two innovative methodologies to construct customized Common Voice datasets for low-resource languages like Hindi. The first methodology leverages Bark, a transformer-based text-to-audio model developed by Suno, and incorporates Me
Externí odkaz:
http://arxiv.org/abs/2311.14836
Publikováno v:
In Materials Today: Proceedings 2023 72 Part 3:1817-1824