47 citations · 162 across the 25 of their papers we have counts for
6 papers · 1 filter
AV-TranSpeech: Audio-Visual Robust Speech-to-Speech Translation
Rongjie Huang, Huadai Liu, Xize Cheng +8
Direct speech-to-speech translation (S2ST) aims to convert speech from one language into another, and has demonstrated significant progress to date. Despite the recent success, cur…
AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head
Rongjie Huang, Mingze Li, Dongchao Yang +10
Large language models (LLMs) have exhibited remarkable capabilities across a variety of domains and tasks, challenging our understanding of learning and cognition. Despite the rece…
MUG: A General Meeting Understanding and Generation Benchmark
Qinglin Zhang, Chong Deng, Jiaqing Liu +7
Listening to long video/audio recordings from video conferencing and online courses for acquiring information is extremely inefficient. Even after ASR systems transcribe recordings…
Overview of the ICASSP 2023 General Meeting Understanding and Generation Challenge (MUG)
Qinglin Zhang, Chong Deng, Jiaqing Liu +7
ICASSP2023 General Meeting Understanding and Generation Challenge (MUG) focuses on prompting a wide range of spoken language processing (SLP) research on meeting transcripts, as SL…
EMOVIE: A Mandarin Emotion Speech Dataset with a Simple Emotional Text-to-Speech Model
Chenye Cui, Yi Ren, Jinglin Liu +4
Recently, there has been an increasing interest in neural speech synthesis. While the deep neural network achieves the state-of-the-art result in text-to-speech (TTS) tasks, how to…
A Study of Non-autoregressive Model for Sequence Generation
Yi Ren, Jinglin Liu, Xu Tan +3
Non-autoregressive (NAR) models generate all the tokens of a sequence in parallel, resulting in faster generation speed compared to their autoregressive (AR) counterparts but at th…