Wavelet-based speaker change detection in single channel speech data
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Summary
A metric-based algorithm based on Discrete Wavelet Transform (DWT) features and principal component analysis (PCA) or linear discriminant analysis (LDA) are further used to reduce the dimensionality of the feature space and remove redundant information.
- Published
- 2009-01-01
- Cited by
- 0
- References
- 14
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:9707409
References
- Information Theory: 1948-1998 - Guest Editorial
- Pattern Recognition and Machine Learning
- Robust speaker diarization for meetings
- Selection of acoustic features for speaker identification
- Speaker segmentation and clustering
- DISTBIC: A speaker-based segmentation for audio data indexing
- Effective metric-based speaker segmentation in the frequency domain
- Unsupervised speaker change detection using probabilistic pattern matching
- A wavelet tour of signal processing
- Strategies for automatic segmentation of audio data
- Speech and language technologies for audio indexing and retrieval
- An overview of automatic speaker diarization systems
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