A robust algorithm for accurate endpointing of speech signals
Speech Communication
Study of a voice activity detector and its influence on a noise reduction system
Speech Communication
Distributed meetings: a meeting capture and broadcasting system
Proceedings of the tenth ACM international conference on Multimedia
Robust Talker Direction Estimation Based on Weighted CSP Analysis and Maximum Likelihood Estimation
IEICE - Transactions on Information and Systems
Detection and separation of speech events in meeting recordings using a microphone array
EURASIP Journal on Audio, Speech, and Music Processing
Towards smart meeting: enabling technologies and a real-world application
Proceedings of the 9th international conference on Multimodal interfaces
Multi-modal conversational analysis of poster presentations using multiple sensors
Proceedings of the 2007 workshop on Tagging, mining and retrieval of human related activity information
ICMI '08 Proceedings of the 10th international conference on Multimodal interfaces
Noise Robust Voice Activity Detection Based on Switching Kalman Filter
IEICE - Transactions on Information and Systems
A speaker diarization method based on the probabilistic fusion of audio-visual location information
Proceedings of the 2009 international conference on Multimodal interfaces
The AMI meeting corpus: a pre-announcement
MLMI'05 Proceedings of the Second international conference on Machine Learning for Multimodal Interaction
Automatic speech recognition and speech activity detection in the CHIL smart room
MLMI'05 Proceedings of the Second international conference on Machine Learning for Multimodal Interaction
Speaker localization in CHIL lectures: evaluation criteria and results
MLMI'05 Proceedings of the Second international conference on Machine Learning for Multimodal Interaction
Speaker diarization for multi-microphone meetings using only between-channel differences
MLMI'06 Proceedings of the Third international conference on Machine Learning for Multimodal Interaction
Speaker diarization: from broadcast news to lectures
MLMI'06 Proceedings of the Third international conference on Machine Learning for Multimodal Interaction
IEEE Transactions on Signal Processing
Blind separation of speech mixtures via time-frequency masking
IEEE Transactions on Signal Processing
Voice activity detection based on multiple statistical models
IEEE Transactions on Signal Processing - Part I
Acoustic Beamforming for Speaker Diarization of Meetings
IEEE Transactions on Audio, Speech, and Language Processing
IEEE Transactions on Audio, Speech, and Language Processing
An overview of automatic speaker diarization systems
IEEE Transactions on Audio, Speech, and Language Processing
Separation of speech from interfering sounds based on oscillatory correlation
IEEE Transactions on Neural Networks
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This paper proposes a microphone array-based speech activity detection (SAD) method for analyzing multiparty conversations recorded in the presence of noise. In particular, the proposed method considers conversations where the number of speakers and speaker locations cannot be restricted, such as when standing and talking, and at poster sessions. When we observe such conversations, there are directional noise sources and diffuse noise that affect the direction of arrival estimations of the target speech signals. To detect speech activity without a priori knowledge about the speakers and noise environments, a likelihood ratio test (LRT)-based SAD method is applied to spatial magnitude, which are estimated by using the time-frequency masking of the observed spectra. The proposed method can exploit the enhanced signals obtained from time-frequency masking, and works even in the presence of environmental noise. Experiments with recorded simulated poster sessions confirmed that the proposed method could outperform conventional methods based on the LRT for a single channel, magnitude coherence, or crosspower spectrum phase.