The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Construction and evaluation of a robust multifeature speech/music discriminator
Abstract
We report on the construction of a real-time computer system capable of distinguishing speech signals from music signals over a wide range of digital audio input. We have examined 13 features intended to measure conceptually distinct properties of speech and/or music signals, and combined them in several multidimensional classification frameworks. We provide extensive data on system performance and the cross-validated training/test setup used to evaluate the system. For the datasets currently in use, the best classifier classifies with 5.8% error on a frame-by-frame basis, and 1.4% error when integrating long (2.4 second) segments of sound.
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(1973) · CERN Document Server (European Organization for Nuclear Research) · Cited by 12,895
Pattern classification and scene analysis
Chien, Y. (1974) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1974.1100577 · Cited by 3,398
The expectation-maximization algorithm
Moon, T. K. (1996) · IEEE Signal Processing Magazine · doi:10.1109/79.543975 · Cited by 3,181
Bogert, B. P. (1963) · Medical Entomology and Zoology · Cited by 507
Omohundro, S. M. (1990) · Physica D Nonlinear Phenomena · doi:10.1016/0167-2789(90)90085-4 · Cited by 34
Cited by
Mel Frequency Cepstral Coefficients For Music Modeling.
Logan, B. (2000) · doi:10.5281/zenodo.1416443 · Cited by 913
Perceptual coding of digital audio
Painter, T., & Spanias, A. (2000) · Proceedings of the IEEE · doi:10.1109/5.842996 · Cited by 759
The Jigsaw continuous sensing engine for mobile phone applications
Lu, H., Yang, J., Liu, Z., Lane, N. D., Choudhury, T., & Campbell, A. T. (2010) · Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems · doi:10.1145/1869983.1869992 · Cited by 560
Content analysis for audio classification and segmentation
Lu, L., Zhang, H.-J., & Jiang, H. (2002) · IEEE Transactions on Speech and Audio Processing · doi:10.1109/tsa.2002.804546 · Cited by 508
A comparison of features for synthetic speech detection
Sahidullah, M., Kinnunen, T., & Hanilçi, C. (2015) · Interspeech 2015 · doi:10.21437/interspeech.2015-472 · Cited by 382
Metadata
- Authors
- Scheirer, E., & Slaney, M.
- Venue
- 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing
- Publisher
- IEEE Comput. Soc. Press
- Published
- 2002-11-22
- Volume
- 2
- Pages
- 1331-1334
- ISSN
- 1520-6149 (ISSN-L)
- OpenAlex
- W2128838222
- Cited by
- 873
- References
- 5
- FWCI
- 55.35
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Scheirer, E., & Slaney, M. (2002). Construction and evaluation of a robust multifeature speech/music discriminator. 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing. https://doi.org/10.1109/icassp.1997.596192
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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