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20202026
most citedDirectional Source Separation for Robust Speech Recognition on Smart Glasses

6 citations · 19 across the 22 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

cs.CL2024

Transducer-Llama: Integrating LLMs into Streamable Transducer-based Speech Recognition

Keqi Deng, Jinxi Guo, Yingyi Ma +4

While large language models (LLMs) have been applied to automatic speech recognition (ASR), the task of making the model streamable remains a challenge. This paper proposes a novel…

eess.AS2024

Transcribing and Translating, Fast and Slow: Joint Speech Translation and Recognition

Niko Moritz, Ruiming Xie, Yashesh Gaur +5

We propose the joint speech translation and recognition (JSTAR) model that leverages the fast-slow cascaded encoder architecture for simultaneous end-to-end automatic speech recogn…

eess.AS2024

Textless Streaming Speech-to-Speech Translation using Semantic Speech Tokens

Jinzheng Zhao, Niko Moritz, Egor Lakomkin +7

Cascaded speech-to-speech translation systems often suffer from the error accumulation problem and high latency, which is a result of cascaded modules whose inference delays accumu…

eess.AS2024

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…

eess.AS2024

Effective internal language model training and fusion for factorized transducer model

Jinxi Guo, Niko Moritz, Yingyi Ma +6

The internal language model (ILM) of the neural transducer has been widely studied. In most prior work, it is mainly used for estimating the ILM score and is subsequently subtracte…

eess.AS2024

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…