Subject: AW: [AUDITORY] F0 estimation software From: Bjoern Schuller <schuller@xxxxxxxx> Date: Tue, 8 Jun 2010 11:02:20 +0200 List-Archive:<http://lists.mcgill.ca/scripts/wa.exe?LIST=AUDITORY>Hi Jeremy, you might also have a look at openSMILE. It is an audio feature extractor for speech and music processing applications and is capable of extracting pitch via autocorrelation and the sub-harmonic sampling (SHS) method. If you are interested in on-line processing or scriptable batch processing, this tool might be very helpful, since it is light weight, yet powerful and flexible as command-line tool. You can download it from : http://opensmile.sourceforge.net/ It is also free and open-source (GPL), documentation is included. Best, Bjoern Schuller ___________________________________________ Dr. Björn Schuller Senior Researcher and Lecturer Technische Universität München Institute for Human-Machine Communication Theresienstraße 90 Building N1, ground level Room N0135 D-80333 München Germany Fax: ++49 (0)89 289-28535 Phone: ++49 (0)89 289-28548 schuller@xxxxxxxx www.mmk.ei.tum.de/~sch ___________________________________________ This message is confidential. It may also be privileged or otherwise protected by work product immunity or other legal rules. If you have received it by mistake please let us know by reply and then delete it from your system; you should not copy it or disclose its contents to anyone. All messages sent to and from our institute may be monitored to ensure compliance with internal policies and to protect our business. Emails are not secure and cannot be guaranteed to be error free as they can be intercepted, amended, lost or destroyed, or contain viruses. Anyone who communicates with us by email is taken to accept these risks. -----Ursprüngliche Nachricht----- Von: AUDITORY - Research in Auditory Perception [mailto:AUDITORY@xxxxxxxx Im Auftrag von Stefanie Stadler Elmer Gesendet: Dienstag, 8. Juni 2010 08:45 An: AUDITORY@xxxxxxxx Betreff: Re: [AUDITORY] F0 estimation software Hi Heriberto the hint to praat is useful. Praat is very powerful and wonderful! Especially for speech analysis. However, our pitch analyzer is much easier to handle, because it is specifically targeted to calculate pitch in everyday singing (not opera voice): http://mmatools.sourceforge.net/ Moreover, at this source you find a new notation system for representing singing (notation viewer). Open source, free. Cheers, Stefanie Stadler Heriberto Avelino wrote: > You may try > http://www.fon.hum.uva.nl/praat/ > > It includes full documentation of the algorithms used. > > Best wishes, > > Heriberto > > ********************************************************************************* > Conference on Phonetic Universals October 29-30, 2010 > Max Planck Institute for Evolutionary Anthropology, Leipzig (Germany) > http://www.eva.mpg.de/lingua/conference/10-PhoneticUniversals > ********************************************************** > Heriberto Avelino > Max Planck Institute for Evolutionary Anthropology > Department of Linguistics > Deutscher Platz 6 > 04103 Leipzig > > Phone: +49 (0) 341 3550 - 316 > Fax: +49 (0) 341 3550 - 333 > ********************************************************** > > > On Tue, Jun 8, 2010 at 6:54 AM, Federman, Jeremy > <jeremy.federman@xxxxxxxx > <mailto: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 > > -- PD Dr. Stefanie Stadler Elmer University of Zürich Dept. of Psychology Binzmühlestr. 14 Box 9 CH-8050 Zürich Switzerland +41 (0)44 635 74 38