The DOI matches its Crossref record.
Applications of a nonlinear smoothing algorithm to speech processing
Abstract
In this paper a nonlinear smoothing algorithm recently proposed by Tukey is described and evaluated for speech processing applications. Simple linear smoothing routines generally fail to provide adequate smoothing for data which exhibit both local roughness and sharp discontinuities. The proposed nonlinear smoothing algorithm can effectively smooth such data by using a combination of median smoothing routines and linear filtering. The concept of double smoothing is introduced as a refinement on the smoothing algorithm. Examples of the application of the nonlinear smoothing methods to typical speech parameters are included in this paper.
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Cited by
A generalization of median filtering using linear combinations of order statistics
Bovik, A., Huang, T., & Munson, D. (1983) · IEEE Transactions on Acoustics, Speech, and Signal Processing · doi:10.1109/tassp.1983.1164247 · Cited by 580
World ocean atlas 2013. Volume 2, Salinity
Zweng, M., Reagan, J., Antonov, J. I., Locarnini, R., Mishonov, A. V., Boyer, T. P., Garcia, H. E., Baranova, O., Johnson, D. R., Seidov, D., et al. (2014) · NOAA Institutional Repository · doi:10.7289/v5251g4d · Cited by 389
Metadata
- Authors
- Rabiner, L., Sambur, M., & Schmidt, C.
- Venue
- IEEE Transactions on Acoustics, Speech, and Signal Processing
- Published
- 1975-12
- Volume
- 23
- Issue
- 6
- Pages
- 552-557
- ISSN
- 0096-3518 (ISSN-L)
- OpenAlex
- W2019977573
- Cited by
- 315
- References
- 0
- FWCI
- 10.12
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Applications of a nonlinear smoothing algorithm to speech processing. https://app.cochat.ai/papers/10.1109/tassp.1975.1162749
- The paper
- Rabiner, L., Sambur, M., & Schmidt, C. (1975). Applications of a nonlinear smoothing algorithm to speech processing. IEEE Transactions on Acoustics, Speech, and Signal Processing. https://doi.org/10.1109/tassp.1975.1162749
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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.
