Subject: Re: F0 estimation software From: Arturo Camacho <acamacho@xxxxxxxx> Date: Tue, 8 Jun 2010 10:12:16 -0600 List-Archive:<http://lists.mcgill.ca/scripts/wa.exe?LIST=AUDITORY>Dear Jeremy, I suggest you use SWIPE' [1] to estimate pitch and its companion TS2means [2] to distinguish between pitched and unpitched regions. Matlab code for both of them can be found at http://www.cise.ufl.edu/~acamacho/publications. The advantages of the use of SWIPE' vs. autocorrelation, SHS (both as implemented in Praat), YIN, TEMPO, and others in terms of gross error rates are documented in [1]. Arturo [1] Camacho, A., Harris, J. G. (2008). “A sawtooth waveform inspired pitch estimator for speech and music,” Journal of the Acoustical Society of America, vol. 124, pp. 1638-1652. [2] Camacho, A. (2008). “Detection of Pitched/Unpitched Sound Using Pitch Strength Clustering,” Proceedings of the Ninth International Conference on Music Information Retrieval, Philadelphia, pp. 533-537. On Mon, Jun 7, 2010 at 10:54 PM, Federman, Jeremy <jeremy.federman@xxxxxxxx> wrote: > Hi all - > > We have a graduate student here who is currently investigating the role of > motor cognition in singing. Specifically, she is recording professional > singers and non-singers singing familiar tunes in their preferred key > during masked and unmasked conditions. That is, for some trials the > participants can hear themselves singing and for others they cannot. > > The purpose of this post is to ask for your help and advice regarding > software we might potentially use (matlab or other) to automate the > process of estimating the fundamental frequency (also known as pitch > detection or F0 estimation) of periodic segments contained in the recorded > waveforms. If there are known advantages and disadvantages to various > options, please feel free to include that information as well. > > Thannks in advance for any and all assistance and guidance on this topic! > > With kind regards, > > Jeremy > -- > Jeremy Federman, PhD-ABD, CCC-A > Vanderbilt University Medical Center > Department of Hearing and Speech > 1215 21st Avenue South, Room 8310 > Medical Center East, South Tower > Nashville, TN 37232-8242 > Email: jeremy.federman@xxxxxxxx >