3 citations · 3 across the 4 of their papers we have counts for
4 papers
GigaSpeechBench: A Real-World Multilingual Speech-to-Text Benchmark
Yujie Tu, Yifan Yang, Tianrui Wang +35
While modern ASR systems achieve low error rates on high-resource benchmarks, such performance often overestimates real-world robustness. Existing evaluations address challenges in…
Unified Gradient Projection: Language-Balanced Continual Learning for Multilingual Low-Resource ASR
Ziang Ren, Guodong Lin, Yuchen Ai +2
Large-scale pretrained ASR models such as Whisper exhibit strong multilingual capabilities. However, fine-tuning on low-resource languages often causes catastrophic forgetting. Alt…
Enhancing Multilingual LLM-based ASR with Mixture of Experts and Dynamic Downsampling
Guodong Lin, Ziqi Chen, Yuxiang Fu +2
The rapid progress of large language models (LLMs) has opened up a new frontier for automatic speech recognition (ASR), making their effective integration a critical and challengin…
Improving Acoustic Scene Classification in Low-Resource Conditions
Zhi Chen, Yun-Fei Shao, Yong Ma +3
Acoustic Scene Classification (ASC) identifies an environment based on an audio signal. This paper explores ASC in low-resource conditions and proposes a novel model, DS-FlexiNet,…