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AW: [AUDITORY] F0 estimation software

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.


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

Fax: ++49 (0)89 289-28535
Phone: ++49 (0)89 289-28548


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-----Ursprüngliche Nachricht-----
Von: AUDITORY - Research in Auditory Perception [mailto:AUDITORY@xxxxxxxxxxxxxxx] Im Auftrag von Stefanie Stadler Elmer
Gesendet: Dienstag, 8. Juni 2010 08:45
An: AUDITORY@xxxxxxxxxxxxxxx
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 

Moreover, at this source you find a new notation system for representing 
singing (notation viewer). Open source, free.
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@xxxxxxxxxxxxxx 
> <mailto:jeremy.federman@xxxxxxxxxxxxxx>> 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@xxxxxxxxxxxxxx


PD Dr. Stefanie Stadler Elmer

University of Zürich
Dept. of Psychology
Binzmühlestr. 14 Box 9
CH-8050 Zürich

+41 (0)44 635 74 38