6 citations · 6 across the 5 of their papers we have counts for
6 papers
Equipping LLM with Directional Multi-Talker Speech Understanding Capabilities
Ju Lin, Jing Pan, Ruizhi Li +5
Recent studies have demonstrated that prompting large language models (LLM) with audio encodings enables effective speech understanding capabilities. However, most speech LLMs are…
Overcoming Latency Bottlenecks in On-Device Speech Translation: A Cascaded Approach with Alignment-Based Streaming MT
Zeeshan Ahmed, Frank Seide, Niko Moritz +5
This paper tackles several challenges that arise when integrating Automatic Speech Recognition (ASR) and Machine Translation (MT) for real-time, on-device streaming speech translat…
Thinking in Directivity: Speech Large Language Model for Multi-Talker Directional Speech Recognition
Jiamin Xie, Ju Lin, Yiteng Huang +8
Recent studies have demonstrated that prompting large language models (LLM) with audio encodings enables effective speech recognition capabilities. However, the ability of Speech L…
M-BEST-RQ: A Multi-Channel Speech Foundation Model for Smart Glasses
Yufeng Yang, Desh Raj, Ju Lin +8
The growing popularity of multi-channel wearable devices, such as smart glasses, has led to a surge of applications such as targeted speech recognition and enhanced hearing. Howeve…
AGADIR: Towards Array-Geometry Agnostic Directional Speech Recognition
Ju Lin, Niko Moritz, Yiteng Huang +4
Wearable devices like smart glasses are approaching the compute capability to seamlessly generate real-time closed captions for live conversations. We build on our recently introdu…
Directional Source Separation for Robust Speech Recognition on Smart Glasses
Tiantian Feng, Ju Lin, Yiteng Huang +7
Modern smart glasses leverage advanced audio sensing and machine learning technologies to offer real-time transcribing and captioning services, considerably enriching human experie…