6 citations · 23 across the 33 of their papers we have counts for
13 papers · 1 filter
Unifying Diarization, Separation, and ASR with Multi-Speaker Encoder
Muhammad Shakeel, Yui Sudo, Yifan Peng +2
This paper presents a unified multi-speaker encoder (UME), a novel architecture that jointly learns representations for speaker diarization (SD), speech separation (SS), and multi-…
Enhancing Audiovisual Speech Recognition through Bifocal Preference Optimization
Yihan Wu, Yichen Lu, Yifan Peng +3
Audiovisual Automatic Speech Recognition (AV-ASR) aims to improve speech recognition accuracy by leveraging visual signals. It is particularly challenging in unconstrained real-wor…
Robust Audiovisual Speech Recognition Models with Mixture-of-Experts
Yihan Wu, Yifan Peng, Yichen Lu +3
Visual signals can enhance audiovisual speech recognition accuracy by providing additional contextual information. Given the complexity of visual signals, an audiovisual speech rec…
Contextualized End-to-end Automatic Speech Recognition with Intermediate Biasing Loss
Muhammad Shakeel, Yui Sudo, Yifan Peng +1
Contextualized end-to-end automatic speech recognition has been an active research area, with recent efforts focusing on the implicit learning of contextual phrases based on the fi…
Joint Beam Search Integrating CTC, Attention, and Transducer Decoders
Yui Sudo, Muhammad Shakeel, Yosuke Fukumoto +4
End-to-end automatic speech recognition (E2E-ASR) can be classified by its decoder architectures, such as connectionist temporal classification (CTC), recurrent neural network tran…
Joint Optimization of Streaming and Non-Streaming Automatic Speech Recognition with Multi-Decoder and Knowledge Distillation
Muhammad Shakeel, Yui Sudo, Yifan Peng +1
End-to-end (E2E) automatic speech recognition (ASR) can operate in two modes: streaming and non-streaming, each with its pros and cons. Streaming ASR processes the speech frames in…