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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wang, D. Vogt, R. Mason, M. Sridharan, S. |
| Copyright Year | 2008 |
| Description | Author affiliation: Queensland Univ. of Technol., Brisbane, QLD (Wang, D.; Vogt, R.; Mason, M.; Sridharan, S.) |
| Abstract | This paper presents a novel technique for segmenting an audio stream into homogeneous regions according to speaker identities, background noise, music, environmental and channel conditions. Audio segmentation is useful in audio diarization systems, which aim to annotate an input audio stream with information that attributes temporal regions of the audio into their specific sources. The segmentation method introduced in this paper is performed using the Generalized Likelihood Ratio (GLR), computed between two adjacent sliding windows over preprocessed speech. This approach is inspired by the popular segmentation method proposed by the pioneering work of Chen and Gopalakrishnan, using the bayesian information criterion (BIC) with an expanding search window. This paper will aim to identify and address the shortcomings associated with such an approach. The result obtained by the proposed segmentation strategy is evaluated on the 2002 rich transcription (RT-02) Evaluation dataset, and a miss rate of 19.47% and a false alarm rate of 16.94% is achieved at the optimal threshold. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 141889 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424442430 |
| DOI | 10.1109/ICSPCS.2008.4813705 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-12-15 |
| Publisher Place | Australia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | TV broadcasting Costs Bayesian methods Speech recognition Streaming media Information retrieval Background noise Radio broadcasting Australia Indexing |
| Content Type | Text |
| Resource Type | Article |
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