7 papers
GSRM: Generative Speech Reward Model for Speech RLHF
Maohao Shen, Tejas Jayashankar, Osama Hanna +10
Recent advances in speech language models, such as GPT-4o Voice Mode and Gemini Live, have demonstrated promising speech generation capabilities. Nevertheless, the aesthetic natura…
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…
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…
Non-Monotonic Attention-based Read/Write Policy Learning for Simultaneous Translation
Zeeshan Ahmed, Frank Seide, Zhe Liu +6
Simultaneous or streaming machine translation generates translation while reading the input stream. These systems face a quality/latency trade-off, aiming to achieve high translati…
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…
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…