Abstract:
Speaker diarization has gained much importance over the past five years in helping overcome key challenges faced by automatic meeting transcription systems. Current state...Show MoreMetadata
Abstract:
Speaker diarization has gained much importance over the past five years in helping overcome key challenges faced by automatic meeting transcription systems. Current state-of-the-art algorithms can only utilize spatial information when multi-microphone recordings are available. In this paper, we propose the novel use of reverberation as a source of spatial information obtained from single-channel recordings to perform speaker diarization. The proposed system is shown to reduce speaker classification errors by 34% when compared with current MFCC based single-channel systems.
Published in: 2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)
Date of Conference: 18-21 October 2015
Date Added to IEEE Xplore: 30 November 2015
ISBN Information: