The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Automatic audio segmentation using a measure of audio novelty
Abstract
The paper describes methods for automatically locating points of significant change in music or audio, by analyzing local self-similarity. This method can find individual note boundaries or even natural segment boundaries such as verse/chorus or speech/music transitions, even in the absence of cues such as silence. This approach uses the signal to model itself, and thus does not rely on particular acoustic cues nor requires training. We present a wide variety of applications, including indexing, segmenting, and beat tracking of music and audio. The method works well on a wide variety of audio sources.
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Citations
Cites
Construction and evaluation of a robust multifeature speech/music discriminator
Scheirer, E., & Slaney, M. (2002) · 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing · doi:10.1109/icassp.1997.596192 · Cited by 873
Content-based classification, search, and retrieval of audio
Wold, E., Blum, T., Keislar, D., & Wheaten, J. (1996) · IEEE Multimedia · doi:10.1109/93.556537 · Cited by 789
Segregation of speakers for speech recognition and speaker identification
Gish, H., Siu, M.-H., & Rohlicek, R. (1991) · [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing · doi:10.1109/icassp.1991.150477 · Cited by 205
SpeechSkimmer: a system for interactively skimming recorded speech
Arons, B. (1997) · ACM Transactions on Computer-Human Interaction · doi:10.1145/244754.244758 · Cited by 182
Heuristic approach for generic audio data segmentation and annotation
Zhang, T., & Kuo, C. ‐. J. (1999) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/319463.319471 · Cited by 60
Cited by
Content-based multimedia information retrieval: State of the art and challenges
Lew, M. S., Sebe, N., Djeraba, C., & Jain, R. (2006) · ACM Transactions on Multimedia Computing, Communications, and Applications · doi:10.1145/1126004.1126005 · Cited by 1,528
A tutorial on onset detection in music signals
Bello, J. P., Daudet, L., Abdallah, S., Duxbury, C., Davies, M., & Sandler, M. B. (2005) · IEEE Transactions on Speech and Audio Processing · doi:10.1109/tsa.2005.851998 · Cited by 719
Metadata
- Authors
- Foote, J.
- Venue
- 2000 IEEE International Conference on Multimedia and Expo. ICME2000. Proceedings. Latest Advances in the Fast Changing World of Multimedia (Cat. No.00TH8532)
- Publisher
- IEEE
- Published
- 2002-11-07
- Volume
- 1
- Pages
- 452-455
- OpenAlex
- W2168249484
- Cited by
- 408
- References
- 5
- FWCI
- 16.35
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Foote, J. (2002). Automatic audio segmentation using a measure of audio novelty. 2000 IEEE International Conference on Multimedia and Expo. ICME2000. Proceedings. Latest Advances in the Fast Changing World of Multimedia (Cat. No.00TH8532). https://doi.org/10.1109/icme.2000.869637
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
