AMI meeting corpus

The AMI Meeting Corpus is a multi-modal data set consisting of 100 hours of meeting recordings. For a gentle introduction to the corpus, see the corpus overview. To access the data, follow the directions given there. Around two-thirds of the data has been elicited using a scenario in which the participants play differe

Papers using AMI meeting corpus (9)

Data-independent Beamforming for End-to-end Multichannel Multi-speaker ASR2025VarArray Meets t-SOT: Advancing the State of the Art of Streaming Distant Conversational Speech Recognition2022 · 2 citesA Comparative Study of Modular and Joint Approaches for Speaker-Attributed ASR on Monaural Long-Form Audio2021 · 1 citesLeveraging Real Conversational Data for Multi-Channel Continuous Speech Separation2022Updating Only Encoders Prevents Catastrophic Forgetting of End-to-End ASR Models2022Factual Consistency Oriented Speech Recognition2023Multi-microphone Automatic Speech Segmentation in Meetings Based on Circular Harmonics Features2023Channel-Combination Algorithms for Robust Distant Voice Activity and Overlapped Speech Detection2024Improving Speaker Assignment in Speaker-Attributed ASR for Real Meeting Applications2024