5 papers
ScreenASR-Bench: A Tiered Benchmark for Speech Recognition with Visual Context
Mingwei Fu, Zheshu Song, Zhikai Zhou +3
Current ASR models perform well on general benchmarks but still struggle with acoustically ambiguous words. Visual context can aid recognition in screen-based scenarios, yet existi…
End-to-End Training for Discrete Token LLM based TTS System
Changfeng Gao, Yong Ren, Jun Yuan +3
Recent state-of-the-art (SOTA) text-to-speech (TTS) systems typically adopt a cascaded pipeline consisting of a speech tokenizer, an autoregressive large language model (LLM), and…
The TEA-ASLP System for Multilingual Conversational Speech Recognition and Speech Diarization in MLC-SLM 2025 Challenge
Hongfei Xue, Kaixun Huang, Zhikai Zhou +2
This paper presents the TEA-ASLP's system submitted to the MLC-SLM 2025 Challenge, addressing multilingual conversational automatic speech recognition (ASR) in Task I and speech di…
Chain of Correction for Full-text Speech Recognition with Large Language Models
Zhiyuan Tang, Dong Wang, Zhikai Zhou +3
Full-text error correction with Large Language Models (LLMs) for Automatic Speech Recognition (ASR) is attracting increased attention for its ability to address a wide range of err…
Full-text Error Correction for Chinese Speech Recognition with Large Language Model
Zhiyuan Tang, Dong Wang, Shen Huang +1
Large Language Models (LLMs) have demonstrated substantial potential for error correction in Automatic Speech Recognition (ASR). However, most research focuses on utterances from s…