Timbre features with MEDIAN values for compensating intra-speaker variability in speaker identification of whispering sound

Author:

Sardar Vijay M.ORCID,Jadhav Manisha L.,Deshmukh Saurabh H.

Publisher

Springer Science and Business Media LLC

Subject

Computer Vision and Pattern Recognition,Linguistics and Language,Human-Computer Interaction,Language and Linguistics,Software

Reference24 articles.

1. Al-Allaf, O. (2015). Removing noise from speech signals using different approaches of artificial neural networks. International Journal of Information Technology and Computer Science, 7, 8–18. https://doi.org/10.5815/ijitcs.2015.07.02

2. Albert-Ludwigs-Universität Freiburg. (2007). A Matlab toolbox for music information. In Proceedings of the 31st Annual Conference of the Gesellschaft für Klassifikation e.V. (pp. 261–268).

3. Bhattacharjee, M., Prasanna, S., & Guha, P. (2018) Time-frequency audio features for speech-music classification. Project: Broadcast Video Analytics.

4. Bimbot, F., Bonastre, J.-F., Fredouille, C., Gravier, G., Magrin-Chagnolleau, I., Meignier, S., Merlin, T., Ortega-García, J., Petrovska-Delacrétaz, D., & Reynolds, D. (2004). A tutorial on text-independent speaker verification. EURASIP Journal on Advances in Signal Processing. https://doi.org/10.1155/S1110865704310024

5. Cummins, F., Grimaldi, M., Leonard, T., & Simko, J. (2006). The CHAINS speech corpus: Characterizing individual speakers. Dublin School of Computer Science and Informatics University College.

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