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Mel-scale sub-band modelling for perceptually improved time-scale modification of speech and audio signals

Sharma, Neeraj, Potadar, Shreepad, Chetupalli, Srikanth Raj, Sreenivas, T.V.·2017·2017 Twenty-third National Conference on Communications (NCC)

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Research works printed but not linked: 18

  1. 10.1121/1.1916020 · DOI
  2. 10.1002/j.1538-7305.1966.tb01706.x · DOI · Paper page
  3. 10.1109/78.492532 · DOI
  4. gabor, 1946, Theory of communication, IEEE Commun Eng, 93, 429
  5. 10.1016/j.sigpro.2015.03.025 · DOI
  6. flandrin, 2001, Time-frequency and chirps, Proc SP IE 4391 Wavelet Applications VIII, 161
  7. zwicker, 1990, Psychoacoustics Facts and Models
  8. 10.1109/89.482219 · DOI
  9. 10.1109/ICASSP.1989.266910 · DOI
  10. 10.1109/TASSP.1981.1163581 · DOI · Paper page
  11. 10.1109/ICASSP.1993.319366 · DOI · Paper page
  12. 10.1109/TASL.2007.909444 · DOI · Paper page
  13. nagel, 2009, A novel transient handling scheme for time stretching algorithms, Audio Engineering Society Convention 127
  14. 10.1016/0167-6393(94)00054-E · DOI
  15. 10.1121/1.1942989 · DOI
  16. fitzgerald, 2010, Harmonic/percussive separation using median filtering, Proceedings of the International Conference on Digital Audio Effects (DAFx), 1
  17. driedger, 2014, TSM Toolbox: MATLAB implementations of time-scale modification algorithms, Proceedings of the International Conference on Digital Audio Effects (DAFx), 249
  18. 0, A demo of ?TVS approach for time-scale modifications

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Metadata

Authors
Sharma, N., Potadar, S., Chetupalli, S. R., & Sreenivas, T. V.
Venue
2017 Twenty-third National Conference on Communications (NCC)
Publisher
IEEE
Published
2017-03
Pages
1-5
Cited by
3
References
3

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CoChat. (2026). Citation check: Mel-scale sub-band modelling for perceptually improved time-scale modification of speech and audio signals. https://app.cochat.ai/papers/10.1109/ncc.2017.8077073
The paper
Sharma, N., Potadar, S., Chetupalli, S. R., & Sreenivas, T. V. (2017). Mel-scale sub-band modelling for perceptually improved time-scale modification of speech and audio signals. 2017 Twenty-third National Conference on Communications (NCC). https://doi.org/10.1109/ncc.2017.8077073

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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.