Powerful basic frequency extraction from monophonic signs utilizing versatile sub-band separating

Author:

Loheswaran K.,Subba Ramaiah V.,Srinivasa Rao Sirasani,Malathi P.,Prabu M.,Niveditha V. R.

Publisher

Springer Science and Business Media LLC

Subject

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

Reference22 articles.

1. Babacan, O., & Drugman, T. (2013). A comparative study of pitch extraction algorithms on a large variety of singing sounds. In: IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 7815–7819.

2. Boersma, P. (1993). Accurate short-term analysis of fundamental frequency and the harmonics-to-noise ratio of a sampled sound. Proceedings of the Institute of Phonetic Sciences, 17, 97–110.

3. Camacho Lozano, A. (2011). Swipe: A sawtooth waveform inspired pitch estimator for speech and music.

4. De Cheveigne, A., & Kawahara, H. (2002). YIN, a fundamental frequency estimator for speech and music. The Journal of the Acoustical Society of America, 111(4), 1917–1930.

5. Chu, W., & Alwan, A. (2009). Reducing F0 Frame Error of F0 tracking algorithms under noisy conditions with an unvoiced/voiced classification frontend. In: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), vol. 1, pp. 3969–3972.

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