With the success of the first Multi-channel Multi-party Meeting Transcription challenge
(M2MeT), the second M2MeT challenge (M2MeT 2.0) held in ASRU2023 particularly aims to …

The recently proposed serialized output training (SOT) simplifies multi-talker automatic
speech recognition (ASR) by generating speaker transcriptions separated by a special …

Automatic Speech Recognition (ASR) has shown remarkable progress, yet it still faces
challenges in real-world distant scenarios across various array topologies each with multiple …

In recent years, neural network-based Wake Word Spotting achieves good performance on
clean audio samples but struggles in noisy environments. Audio-Visual Wake Word Spotting …

We present an end-to-end multichannel speaker-attributed automatic speech recognition
(MC-SA-ASR) system that combines a Conformer-based encoder with multi-frame cross …

Speaker-attributed automatic speech recognition (SA-ASR) in multi-party meeting scenarios
is one of the most valuable and challenging ASR tasks. It was shown that SingleChannel …

Joint modeling of multi-speaker ASR and speaker diarization has recently shown promising
results in speaker-attributed automatic speech recognition (SA-ASR). Although being able to …

Recently multi-channel end-to-end (ME2E) ASR systems have emerged. While streaming
single-channel end-to-end ASR has been extensively studied, streaming ME2E ASR is …

This study describes the NPU system for the Distant Automatic Speech Recognition (DASR)
task of the CHiME-7 Challenge. Specifically, two attention-based channel selection modules …

This paper describes a speaker-attributed automatic speech recognition (SA-ASR) system
submitted to the multi-channel multi-party meeting transcription challenge, which aims to …