Who said that?: Audio-visual speaker diarisation of real-world meetings

Autor:	Chung, Joon Son, Lee, Bong-Jin, Han, Icksang
Rok vydání:	2019
Předmět:	Computer Science - Sound Computer Science - Computer Vision and Pattern Recognition Electrical Engineering and Systems Science - Audio and Speech Processing
Druh dokumentu:	Working Paper
Popis:	The goal of this work is to determine 'who spoke when' in real-world meetings. The method takes surround-view video and single or multi-channel audio as inputs, and generates robust diarisation outputs. To achieve this, we propose a novel iterative approach that first enrolls speaker models using audio-visual correspondence, then uses the enrolled models together with the visual information to determine the active speaker. We show strong quantitative and qualitative performance on a dataset of real-world meetings. The method is also evaluated on the public AMI meeting corpus, on which we demonstrate results that exceed all comparable methods. We also show that beamforming can be used together with the video to further improve the performance when multi-channel audio is available. Comment: Accepted to Interspeech 2019
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1906.10042 Zobrazit plný text záznamu View this record from Arxiv