arXiv:2404.06079
The X-LANCE Technical Report for Interspeech 2024 Speech Processing Using Discrete Speech Unit Challenge
원문 초록
Discrete speech tokens have been more and more popular in multiple speech processing fields, including automatic speech recognition (ASR), text-to-speech (TTS) and singing voice synthesis (SVS). In this paper, we describe the systems developed by the SJTU X-LANCE group for the TTS (acoustic + vocoder), SVS, and ASR tracks in the Interspeech 2024 Speech Processing Using Discrete Speech Unit Challenge. Notably, we achieved 1st rank on the leaderboard in the TTS track both with the whole training set and only 1h training data, with the highest UTMOS score and lowest bitrate among all submissions.
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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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