DISTBIC: a speaker-based segmentation for audio data indexing
Speech Communication - Special issue on accessing information in spoken audio
Introduction to Algorithms: A Creative Approach
Introduction to Algorithms: A Creative Approach
Speaker change detection and tracking in real-time news broadcasting analysis
Proceedings of the tenth ACM international conference on Multimedia
Segregation of speakers for speech recognition and speaker identification
ICASSP '91 Proceedings of the Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference
A speaker tracking system based on speaker turn detection for NIST evaluation
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 02
Speaker Diarization For Multiple-Distant-Microphone Meetings Using Several Sources of Information
IEEE Transactions on Computers
Unsupervised Speaker Change Detection Using SVM Training Misclassification Rate
IEEE Transactions on Computers
IEEE Transactions on Audio, Speech, and Language Processing
Multiple change-point audio segmentation and classification using an MDL-based Gaussian model
IEEE Transactions on Audio, Speech, and Language Processing
Discrimination Power of Vocal Source and Vocal Tract Related Features for Speaker Segmentation
IEEE Transactions on Audio, Speech, and Language Processing
Efficient Speaker Change Detection Using Adapted Gaussian Mixture Models
IEEE Transactions on Audio, Speech, and Language Processing
Multistage speaker diarization of broadcast news
IEEE Transactions on Audio, Speech, and Language Processing
An overview of automatic speaker diarization systems
IEEE Transactions on Audio, Speech, and Language Processing
CONTENTUS--technologies for next generation multimedia libraries
Multimedia Tools and Applications
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In this paper, we propose three divide-and-conquer approaches for Bayesian information criterion (BIC)-based speaker segmentation. The approaches detect speaker changes by recursively partitioning a large analysis window into two sub-windows and recursively verifying the merging of two adjacent audio segments using Δ BIC, a widely-adopted distance measure of two audio segments.We compare our approaches to three popular distance-based approaches, namely, Chen and Gopalakrishnan's window-growing-based approach, Siegler et al.'s fixed-size sliding window approach, and Delacourt and Wellekens's DISTBIC approach, by performing computational cost analysis and conducting speaker change detection experiments on two broadcast news data sets. The results show that the proposed approaches are more efficient and achieve higher segmentation accuracy than the compared distance-based approaches. In addition, we apply the segmentation approaches discussed in this paper to the speaker diarization task. The experiment results show that a more effective segmentation approach leads to better diarization accuracy.