arXiv:2010.06778
공식 코드 · Papers with Code
Google Crowdsourced Speech Corpora and Related Open-Source Resources for Low-Resource Languages and Dialects: An Overview
원문 초록
This paper presents an overview of a program designed to address the growing need for developing freely available speech resources for under-represented languages. At present we have released 38 datasets for building text-to-speech and automatic speech recognition applications for languages and dialects of South and Southeast Asia, Africa, Europe and South America. The paper describes the methodology used for developing such corpora and presents some of our findings that could benefit under-represented language communities.
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From Tens of Hours to Tens of Thousands: Scaling Back-Translation for Speech Recognition
VITA-Audio: Fast Interleaved Cross-Modal Token Generation for Efficient Large Speech-Language Model
Voila: Voice-Language Foundation Models for Real-Time Autonomous Interaction and Voice Role-Play
NonverbalTTS: A Public English Corpus of Text-Aligned Nonverbal Vocalizations with Emotion Annotations for Text-to-Speech
LM-SPT: LM-Aligned Semantic Distillation for Speech Tokenization
Transcript-Prompted Whisper with Dictionary-Enhanced Decoding for Japanese Speech Annotation
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