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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kadri, H. Lachiri, Z. Ellouze, N. |
| Copyright Year | 2005 |
| Description | Author affiliation: Département TIC, ENIT, BP 37, Campus Universitaire, 1002 le Belvédére, Tunis Tunisia. Email: kadri_hachem@yahoo.fr (Kadri, H.) |
| Abstract | Speaker segmentation is the problem of finding speaker segment boundaries when a speaker begins and stop speaking in an audio speaker stream. This segmentation of audio data is of interest to a broad class of applications like surveillance meetings summarization or indexing of broadcast news. Unsupervised speaker segmentation approaches suppose that there is no information about the speakers and their number is known a priori. It can be classed into three categories: energy-based segmentation, metric-based selection and model-selection-based segmentation. Energy-based segmentation: silence in the input audio stream is detected either by a decoder or directly by measuring and thresholding the audio energy. The segments are then generated by cutting the input at silence locations. • Metric-based segmentation: the audio stream is segmented at maxima of the distances between neighboring windows placed in evenly spaced time intervals. • Model-selection-based segmentation [4]: assuming that data are generated by a Gaussian process, speaker changes are detected by using a statistical decision criterion within a sliding window through the audio stream. A widely used technique for speaker segmentation is based on the Bayesian Information Criterion (BIC). Indeed, BIC segmentation presents the advantages of robustness and threshold independence. However, this method, extremely computationally expensive, can introduce an estimation error due to insufficient data when the speaker turns are close to each other. |
| Starting Page | 1300 |
| Ending Page | 1301 |
| File Size | 119626 |
| Page Count | 2 |
| File Format | |
| ISBN | 0780395212 |
| DOI | 10.1109/ICTTA.2006.1684567 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-04-24 |
| Publisher Place | Syria |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Estimation error Bayesian Information Criterion Energy measurement Unsupervised audio segmentation Decoding speaker change detection Hotelling's T Bayesian methods Surveillance Gaussian processes Streaming media Broadcasting Robustness Indexing |
| Content Type | Text |
| Resource Type | Article |
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