The DOI matches its Crossref record.
Super resolution pitch determination of speech signals
Abstract
Based on a new similarity model for the voice excitation process, a novel pitch determination procedure is derived. The unique features of the proposed algorithm are infinite (super) resolution, better accuracy than the difference limen for F/sub 0/, robustness to noise, reliability, and modest computational complexity. The algorithm is instrumental to speech processing applications which require pitch synchronous spectral analysis. The computational complexity of the proposed algorithm is well within the capacity of modern digital signal processing (DSP) technology and therefore can be implemented in real time.>
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Citations
Cited by
YIN, a fundamental frequency estimator for speech and music
de Cheveigné, A., & Kawahara, H. (2002) · The Journal of the Acoustical Society of America · doi:10.1121/1.1458024 · Cited by 1,920
Toward an affect-sensitive multimodal human-computer interaction
Pantic, M., & Rothkrantz, L. J. M. (2003) · Proceedings of the IEEE · doi:10.1109/jproc.2003.817122 · Cited by 791
Analysis and synthesis of intonation using the Tilt model
Taylor, P. (2000) · The Journal of the Acoustical Society of America · doi:10.1121/1.428453 · Cited by 355
MULTIMODAL EMOTION RECOGNITION
Sebe, N., Cohen, I., & Huang, T. S. (2005) · Handbook of Pattern Recognition and Computer Vision · doi:10.1142/9789812775320_0021 · Cited by 201
De Silva, L. C., & Ng, P. C. (2002) · Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580) · doi:10.1109/afgr.2000.840655 · Cited by 196
Metadata
- Authors
- Medan, Y., Yair, E., & Chazan, D.
- Venue
- IEEE Transactions on Signal Processing
- Published
- 1991
- Volume
- 39
- Issue
- 1
- Pages
- 40-48
- ISSN
- 1053-587X (ISSN-L)
- OpenAlex
- W2107451257
- Cited by
- 198
- References
- 0
- FWCI
- 9.64
- Type
- journal article
- Language
- en
- Open access
- closed
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- Medan, Y., Yair, E., & Chazan, D. (1991). Super resolution pitch determination of speech signals. IEEE Transactions on Signal Processing. https://doi.org/10.1109/78.80763
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