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Re: 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):

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

It includes full documentation of the algorithms used.

Best wishes,


Conference on Phonetic Universals October 29-30, 2010
Max Planck Institute for Evolutionary Anthropology, Leipzig (Germany)
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
    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
    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

    With kind regards,

    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