Please suggest me any database (with laryngograph results)(freely
available) for testing the same.
GCI identification has applications in speaker verification. Anyone
interested in collaboration
please contact me.
Rajesh.D
I'm just new to all this. I (apparently wrongly) assumed that this would be
a routine problem that was solved many years ago. It is pretty obvious from
looking at a wide-band spectrograph when the glottal closures occur, and I
assumed it was equally easy to come up with a suitable algorithm.
A quick google search comes up with the following reference:
http://ieeexplore.ieee.org/Xplore/login.jsp?url=/iel5/10376/4032760/04032783.pdf?isnumber=4032760&prod=JNL&arnumber=4032783&arSt=34&ared=43&arAuthor=Patrick+A.+Naylor%3B+Anastasis+Kounoudes%3B+Jon+Gudnason%3B+Mike+Brookes
This mentions the following databases (in answer to your question):
'Results are presented for the APLAWD and SAM databases for which 95.7% and
93.1% of GCIs are correctly identified'
MOCHA-TIMIT?
MOCHA-TIMIT?
Hi GB .,
thank you.
here is a generalization of the problem. please let me know if i
have made any mistakes.
Consider f(t) and its kth derivative fk(t). fk(t) is continous in
(a,b) for k = 1,2,3...n-1.
fn(t) is also continous in (a,b) except at t=t0.
find g(t) such that g(t) has a local maxima in (a,b) at t=t0.
In the paper you have mentioned, http://ieeexplore.ieee.org/Xplore/login.jsp?url=/iel5/10376/4032760/0...
they are not addressing the above problem.
Please give me your comments on this.
My algorithm operates on narrowband speech(8Khz) and can detect GCI's
upto a 0.5 sample accuracy which ofcourse has to be tested on a
database.
regards
Rajesh.D
Hi David,
thanks for your suggestion, i am hopeful that it is
useful for me.
regards
Rajesh.D
Thanks for your suggestion. I have used the database successfully.
I am getting a result of identification rate close to 90%.
I have personally written to the authors of the above mentioned
papers and requested for
the database. Unfortunately the APLAWD database copyright owners have
stopped trading.
Paul Bagshaw's database:
http://www.cstr.ed.ac.uk/research/projects/fda/
has Laryngograph waveform files that you could use to generate reference
pitch marks, as does the Keele Pitch database:
http://www.liv.ac.uk/Psychology/hmp/projects/pitch/speech/keele_pitch_database.html
If you try out a new algorithm, be sure to compare it against an
existing standard program. Recently I have been using Praat for
generating pitch marks for some pitch synchronous analysis and it seems
as good as any.
Regards
Mark Huckvale
--
Mark Huckvale, Director MSc Speech and Hearing Science
Phonetics and Linguistics, University College London
www.phon.ucl.ac.uk
Thank you Mark.
here are some more databases with EGG recordings that i have used.
http://www.festvox.org/cmu_arctic/
http://www.festvox.org/dbs/dbs_kdt.html
Rajesh.D