Subject: Autocorrelation pitch detection From: Stuart Rosen <s.rosen@xxxxxxxx> Date: Thu, 2 Aug 2012 18:33:03 +0100 List-Archive:<http://lists.mcgill.ca/scripts/wa.exe?LIST=AUDITORY><html> <head> <meta http-equiv="content-type" content="text/html; charset=ISO-8859-1"> </head> <body bgcolor="#FFFFFF" text="#000000"> Paul Boersma points out in his article 'ACCURATE SHORT-TERM ANALYSIS OF THE FUNDAMENTAL FREQUENCY AND THE HARMONICS-TO-NOISE RATIO OF A SAMPLED SOUND' (<a class="moz-txt-link-freetext" href="http://www.fon.hum.uva.nl/paul/papers/Proceedings_1993.pdf">http://www.fon.hum.uva.nl/paul/papers/Proceedings_1993.pdf</a>) that there are two ways to improve the use of an autocorrelation method to track fundamental frequency in speech. One (correcting the autocorrelation for the effects of the window function) is simple, but the interpolations he suggests for best estimation of the lag and the height of that peak (especially the sin(x)/x one) is not! Has anyone implemented these procedures in Matlab by any chance, and are willing to share their code?<br> <br> Thanks!<br> <br> Yours - Stuart<br> <br> <div class="moz-signature">-- <br> <hr> Stuart Rosen, PhD<br> Professor of Speech and Hearing Science<br> UCL Speech, Hearing and Phonetic Sciences<br> 2 Wakefield Street<br> London WC1N 1PF, England<br> <br> Telephone numbers: <ul> <li>Office: (+ 44 [0]20) 7679 4077</li> <li>Admin: (+ 44 [0]20) 7679 4050</li> <li>Internal: ext 24077</li> <li>Fax: (+ 44 [0]20) 7679 4238</li> </ul> Email: <a class="moz-txt-link-abbreviated" href="mailto:stuart@xxxxxxxx">stuart@xxxxxxxx</a><br> Home page: <a class="moz-txt-link-freetext" href="http://www.phon.ucl.ac.uk/home/stuart">http://www.phon.ucl.ac.uk/home/stuart</a><br> <br> Request an inspection copy of <i>Signals and Systems for Speech and Hearing, 2nd edition</i> by Stuart Rosen & Peter Howell<br> <a class="moz-txt-link-freetext" href="http://info.emeraldinsight.com/promo/signals.htm">http://info.emeraldinsight.com/promo/signals.htm</a><br> <hr> </div> </body> </html>