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Linear Prediction of Speech
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In the citing paper
“There exist several approaches to estimate spectral envelopes, many of them either based on linear predictive coding (LPC) [40] or on the cepstrum (the inverse Fourier transform of the logarithmic magnitude spectrum) [41,42].”
From A Review of Time-Scale Modification of Music Signals (2016) · cites this paper as [40]
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Citations
Cited by
A tutorial on hidden Markov models and selected applications in speech recognition
Rabiner, L. R. (1989) · Proceedings of the IEEE · doi:10.1109/5.18626 · Cited by 22,743
An Algorithm for Vector Quantizer Design
Linde, Y., Buzo, A., & Gray, R. (1980) · IEEE Transactions on Communications · doi:10.1109/tcom.1980.1094577 · Cited by 7,201
Davis, S., & Mermelstein, P. (1980) · IEEE Transactions on Acoustics, Speech, and Signal Processing · doi:10.1109/tassp.1980.1163420 · Cited by 5,465
An introduction to hidden Markov models
Rabiner, L., & Juang, B. (1986) · IEEE ASSP Magazine · doi:10.1109/massp.1986.1165342 · Cited by 4,775
Detection of Abrupt Changes: Theory and Application
Riedel, K. S. (1994) · Technometrics · doi:10.1080/00401706.1994.10485821 · Cited by 3,518
Speech perception without traditional speech cues
Remez, R. E., Rubin, P. E., Pisoni, D. B., & Carrell, T. D. (1981) · Science · doi:10.1126/science.7233191 · Cited by 800
Speech recognition in noisy environments: A survey
Gong, Y. (1995) · Speech Communication · doi:10.1016/0167-6393(94)00059-j · Cited by 635
Integration of acoustic and visual speech signals using neural networks
Yuhas, B. P., Goldstein, M. H., & Sejnowski, T. J. (1989) · IEEE Communications Magazine · doi:10.1109/35.41402 · Cited by 209
Interacting with computers by voice: automatic speech recognition and synthesis
O'Shaughnessy, D. (2003) · Proceedings of the IEEE · doi:10.1109/jproc.2003.817117 · Cited by 132
Life-like communication agent-emotion sensing character "MIC" and feeling session character "MUSE"
Tosa, N., & Nakatsu, R. (2002) · Proceedings of the Third IEEE International Conference on Multimedia Computing and Systems · doi:10.1109/mmcs.1996.534948 · Cited by 76
A Review of Time-Scale Modification of Music Signals
Driedger, J., & Müller, M. (2016) · Applied Sciences · doi:10.3390/app6020057 · Cited by 71
Cough Sound Analysis for Pneumonia and Asthma Classification in Pediatric Population
Amrulloh, Y., Abeyratne, U., Swarnkar, V., & Triasih, R. (2015) · 2015 6th International Conference on Intelligent Systems, Modelling and Simulation · doi:10.1109/isms.2015.41 · Cited by 69
Akbari, A., & Arjmandi, M. K. (2015) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2015.02.008 · Cited by 22
Classifying Speech of ASD Affected and Normal Children Using Acoustic Features
Mohanta, A., & Mittal, V. K. (2020) · 2020 National Conference on Communications (NCC) · doi:10.1109/ncc48643.2020.9056084 · Cited by 22
Digital signal processing in studies of animal acoustical communication, including human speech
Davis, R. O. (1986) · Computer Methods and Programs in Biomedicine · doi:10.1016/0169-2607(86)90050-7 · Cited by 6
Metadata
- Authors
- Markel, J. D., & Gray, A. H.
- Venue
- Communication and Cybernetics
- Publisher
- Springer Berlin Heidelberg
- Published
- 1976
- ISSN
- 0340-0034
- Cited by
- 1,402
- References
- 0
- Language
- en
- Licence
- www.springer.com/tdm (tdm)
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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Data sources
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.
