Path: utzoo!utgpu!news-server.csri.toronto.edu!cs.utexas.edu!sun-barr!apple!malcolm From: malcolm@Apple.COM (Malcolm Slaney) Newsgroups: comp.dsp Subject: Re: Autocorrelation Pitch Tracker Message-ID: <51534@apple.Apple.COM> Date: 15 Apr 91 15:59:42 GMT References: <1991Apr6.062906.11886@cs.cmu.edu> <51258@apple.Apple.COM> <1991Apr13.013025.26614@agate.berkeley.edu> Organization: Apple Computer Inc., Cupertino, CA Lines: 57 doug@eris.berkeley.edu (Doug Merritt) writes: >This is an interesting subject. I have to wonder whether your experiment >might be faulty, though. What if you're simply uncovering funny behavior >in your sound system rather than in your ear, for instance? Well, nobody has ever accused the native Macintosh sound system of being high fidelity but the effect is true. I quote from the booklet that accompanies the Auditory Demonstrations CD (as done by the ASA): How long must a tone be heard in order to have an identifiable pitch? Early experiments by Savart (1830) indicated that a sense of pitch develops after only two cycles. Very brief tones are described as "clicks," but as the tones lengthen, the clicks take on a sense of pitch which increases upon further lengthening. It has been suggested that the dependence of pitch salience on duration follows a sort of "acoustic uncertainty principles," delta F Delta t = K, where Delta f is the uncertainty in frequency and Delta t is the duration of a tone burst. K, which can be as short as 0.1 (Majernik u and Kaluzny, 1979), appears to depend upon intensity and amplitude envelope (Ronken, 1971). The actual pitch appears to have little or no dependence upon duration (Doughty and Garner, 1948; Rossing and Houtsma, 1986). In this demonstration, we present tones of 300, 1000, and 3000 Hz in bursts of 1, 2, 4, 8, 16, 32, 64, and 128 periods. How many periods are necessary to establish a sense of pitch? Commentary "In this demonstration, three tones of increasing durations are presented. Notice the change from a click to a tone. Sequences are presented twice." >Besides all that, consider the Fourier domain of this. Bad move. First the signals I am talking about were synthesized in the time domain...Mr. Fourier wasn't involved. Second, there is a famous hearing researcher (von Bekesy?) who once said something like Dead cats and Fourier transforms have harmed hearing science more than anything else. Dead cats are a no-no because it is now known that most of what makes the ear work are the non-linearities and active gain control mechanisms in the ear. Taking measurements from an cochlea that is not living gives you a lot of meaningless data. Fourier transforms are not good because the ear is non-linear. Fourier theory is great for linear systems but the ear is far from linear. Sure, we all talk about frequency and such but one must remember that it doesn't always make sense in the ear. A lot of people argue about how the ear works but nobody thinks it computes a Fourier transform. Malcolm