P. Boersma, Accurate short-term analysis of the fundamental frequency and the harmonics-to-noise ratio of a sampled sound, Proc. of the Institute of Phonetic Sciences, pp.97-110, 1993.

D. Talkin, A robust algorithm for pitch tracking (RAPT), " in Speech Coding and Synthesis, pp.495-518, 1995.

A. De-cheveigné and H. Kawahara, YIN, a fundamental frequency estimator for speech and music, The Journal of the Acoustical Society of America, vol.111, issue.4, pp.1917-1930, 2002.
DOI : 10.1121/1.1458024

H. Kawahara, H. Katayose, A. De-cheveigné, and R. D. Patterson, Fixed point analysis of frequency to instantaneous frequency mapping for accurate estimation of f0 and periodicity, Eurospeech, pp.2781-2784, 1999.
URL : https://hal.archives-ouvertes.fr/hal-01105607

H. Kawahara, J. Estill, and O. Fujimura, Aperiodicity extraction and control using mixed mode excitation and group delay manipulation for a high quality speech analysis, modification and synthesis system straight, MAVEBA, pp.59-64, 2001.

A. Camacho and J. G. Harris, A sawtooth waveform inspired pitch estimator for speech and music, The Journal of the Acoustical Society of America, vol.124, issue.3, pp.1638-1652, 2008.
DOI : 10.1121/1.2951592

A. Sorin, T. Ramabadran, D. Chazan, R. Hoory, M. Mclaughlin et al., The ETSI extended distributed speech recognition (DSR) standards: client side processing and tonal language recognition evaluation, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, pp.129-132, 2004.
DOI : 10.1109/ICASSP.2004.1325939

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

H. Kawahara, A. De-cheveigné, H. Banno, T. Takahashi, and T. Irino, Nearly defect-free f0 trajectory extraction for expressive speech modifications based on straight, Interspeech, pp.537-540, 2005.

P. Ghahremani, B. Babaali, D. Povey, K. Riedhammer, J. Trmal et al., A pitch extraction algorithm tuned for automatic speech recognition, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.2494-2498, 2014.
DOI : 10.1109/ICASSP.2014.6854049

G. Pirker, M. Wohlmayr, S. Petrik, and F. Pernkopf, A pitch tracking corpus with evaluation on multipitch tracking scenario, Interspeech, pp.1509-1512, 2011.

A. , D. Cheveigné, and H. Kawahara, Comparative evaluation of f0 estimation algorithms, INTERSPEECH, pp.2451-2454, 2001.

A. Tsanas, M. Zañartu, M. A. Little, C. Fox, L. O. Ramig et al., Robust fundamental frequency estimation in sustained vowels: Detailed algorithmic comparisons and information fusion with adaptive Kalman filtering, The Journal of the Acoustical Society of America, vol.135, issue.5, pp.2885-2901, 2014.
DOI : 10.1121/1.4870484

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4032429

L. Sukhostat and Y. Imamverdiyev, A Comparative Analysis of Pitch Detection Methods Under the Influence of Different Noise Conditions, Journal of Voice, vol.29, issue.4, pp.410-417, 2015.
DOI : 10.1016/j.jvoice.2014.09.016

B. Kotnik, H. Höge, and Z. Kacic, Evaluation of pitch detection algorithms in adverse conditions, Proc. 3rd Int. Conf. on Speech Prosody, pp.149-152, 2006.

I. Luengo, I. Saratxaga, E. Navas, I. Hernáez, J. Sanchez et al., Evaluation of Pitch Detection Algorithms Under Real Conditions, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07, p.1057, 2007.
DOI : 10.1109/ICASSP.2007.367255

B. Kotnik, H. Höge, and Z. Ka?i?, Noise robust F0 determination and epoch-marking algorithms, Signal Processing, vol.89, issue.12, pp.2555-2569, 2009.
DOI : 10.1016/j.sigpro.2009.04.017

S. Strömbergsson, Today???s Most Frequently Used F0 Estimation Methods, and Their Accuracy in Estimating Male and Female Pitch in Clean Speech, Interspeech 2016, pp.525-529, 2016.
DOI : 10.21437/Interspeech.2016-240

M. Ross, H. Shaffer, A. Cohen, R. Freudberg, and H. Manley, Average magnitude difference function pitch extractor, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.22, issue.5, pp.353-362, 1974.
DOI : 10.1109/TASSP.1974.1162598

Y. Medan, E. Yair, and D. Chazan, Super resolution pitch determination of speech signals, IEEE Transactions on Signal Processing, vol.39, issue.1, pp.40-48, 1991.
DOI : 10.1109/78.80763

P. C. Bagshaw, S. M. Hiller, and M. A. Jack, Enhanced pitch tracking and the processing of f0 contours for computer aided intonation teaching, pp.1003-1006, 1993.

P. Martin, Comparison of pitch detection by cepstrum and spectral comb analysis, ICASSP '82. IEEE International Conference on Acoustics, Speech, and Signal Processing, pp.180-183, 1982.
DOI : 10.1109/ICASSP.1982.1171720

A. Camacho, SWIPE: A sawtooth waveform inspired pitch estimator for speech and music, 2007.
DOI : 10.1121/1.2951592

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

D. J. Hermes, Measurement of pitch by subharmonic summation, The Journal of the Acoustical Society of America, vol.83, issue.1, pp.257-264, 1988.
DOI : 10.1121/1.396427

P. P. Boersma, Praat, a system for doing phonetics by computer, 2002.

J. S. Garofolo, L. F. Lamel, W. M. Fisher, J. G. Fiscus, and D. S. Pallett, DARPA TIMIT acoustic-phonetic continous speech corpus CD-ROM. NIST speech disc 1-1.1, NASA STI, vol.93, 1993.

A. Varga and H. J. Steeneken, Assessment for automatic speech recognition: II. NOISEX-92: A database and an experiment to study the effect of additive noise on speech recognition systems, Speech Communication, vol.12, issue.3, pp.247-251, 1993.
DOI : 10.1016/0167-6393(93)90095-3

H. Hirsch, FaNT ? filtering and noise adding tool, Hochschule Niederrhein, Tech. Rep, 2005.

T. Drugman and A. Alwan, Joint robust voicing detection and pitch estimation based on residual harmonics, Interspeech, pp.1973-1976, 2011.