125 citations · 462 across the 47 of their papers we have counts for
8 papers · 1 filter
MSSRNet: Manipulating Sequential Style Representation for Unsupervised Text Style Transfer
Yazheng Yang, Zhou Zhao, Qi Liu
Unsupervised text style transfer task aims to rewrite a text into target style while preserving its main content. Traditional methods rely on the use of a fixed-sized vector to reg…
OpenSR: Open-Modality Speech Recognition via Maintaining Multi-Modality Alignment
Xize Cheng, Tao Jin, Linjun Li +3
Speech Recognition builds a bridge between the multimedia streaming (audio-only, visual-only or audio-visual) and the corresponding text transcription. However, when training the s…
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…
Wav2SQL: Direct Generalizable Speech-To-SQL Parsing
Huadai Liu, Rongjie Huang, Jinzheng He +4
Speech-to-SQL (S2SQL) aims to convert spoken questions into SQL queries given relational databases, which has been traditionally implemented in a cascaded manner while facing the f…
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…
TranSpeech: Speech-to-Speech Translation With Bilateral Perturbation
Rongjie Huang, Jinglin Liu, Huadai Liu +4
Direct speech-to-speech translation (S2ST) with discrete units leverages recent progress in speech representation learning. Specifically, a sequence of discrete representations der…