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Psychoacoustics of Dynamic

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Title: Auditory Processing of Dynamic Center-of-Gravity Signals Author: Larry and Elle Feth Last modified by: Larry Feth Created Date: 3/12/2002 2:10:04 PM – PowerPoint PPT presentation

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Title: Psychoacoustics of Dynamic


1
Psychoacoustics of Dynamic Center-of-Gravity
Signals
  • Larry Feth
  • Ashok Krishnamurthy
  • Ohio State University

2
Spectral Center-of-Gravity
  • Chistovitch and Lublinskaja (1976,1979)
  • Perceptual Formant at Center-of-Gravity
  • Two-formant synthetic vowel
  • Matched by adjustable single-formant signal
  • Center frequency of match depends on relative
    amplitudes of the two formants

3
Experimental Paradigm
4
Chistovitch and Lublinskaja Results
5
Voelcker Two-tone Signals
6
Voelcker Two-tone Signals
  • Initially, led to the EWAIF model
  • Envelope-Weighted Average of Instantaneous
    Frequency (time domain)
  • Point by point multiply E x F values
  • Sum over N periods
  • Divide by sum of weights
  • Indicates pitch change in periodic signals
  • Helmholtz (1954, 2nd English edition)
  • Jeffress (1964)

7
EWAIF Model
8
IWAIF Model Predictions
9
Two-tone resolution task
  • Feth and OMalley (1977)
  • Two-tone resolution
  • DI 1 dB Df independent variable
  • Voelcker-tone pair pitch discrimination
  • inverted u-shaped psychometric functions
  • Components resolved beyond 75 point
  • 3.5 Bark separation jnnd

10
Voelcker Signal Discrimination Task
11
Discrimination Results
  • Jnnd Just not noticeable difference
  • Filled circles
  • Breakpoint estimates
  • Open circles
  • CR critical ratio CBW
  • CB empirical CBW
  • Solid line TW envelope

12
IWAIF Model
  • Intensity Weighted Average of Instantaneous
    Frequency Centroid of signals positive power
    spectrum (Anantharaman, et al., 1993)

13
Dynamic Center-of-Gravity Effect
  • Lublinskaja (1996)
  • Three-formant synthetic Russian vowels
  • Listeners identified vowels with
  • conventional formant transitions
  • co-modulated formant pairs that exhibit the same
    dynamic spectral center-of-gravity
  • ID functions were very similar with formant pairs
    separated by 4.3 Bark or less

14
Psychophysics
  • Anantharaman (1998)
  • Two-tone signals with dynamic c-o-g effect
  • We called them Virtual Frequency Glides
  • Listeners matched transition rates in VF glides
    to those in FM glides
  • IWAIF model predicts results for transitions from
    2 to 5 ERB

15
Dynamic Center-of-Gravity Signals
Waveform
Long-term Spectrum
Spectrogram
16
Rate-matching results
17
Model Results
18
Short-term running IWAIF Model
19
IWAIF Model Results
20
Application of ST-IWAIF Model
21
More Psychophysics
  • Research Question(s)
  • What is being integrated in spectral
    integration?
  • OR
  • Where in the auditory system is the processing
    located?

22
Psychophysics
  • Iyer, et al., (2001)
  • Temporal acuity for FM and VF glides
  • Step vs. linear ramp discrimination
  • Similar DT values may mean common process
  • Masking patterns for FM and VF glides
  • Peripheral process i.e., Energy Masking
  • Different results VF not peripheral process

23
Temporal Acuity Paradigm
Step (red) versus Glide (blue) transitions for FM
tone (left panel) and Virtual Frequency (right
panel)
24
Temporal Acuity Results
  • Just discriminable step duration for FM (solid
    lines filled symbols) and VF (dashed lines
    unfilled symbols) signals. Frequency separations
    are 2, 5 and 8 ERBu. The results for 1000 Hz are
    represented by circles and those for 4000 Hz by
    triangles. Average for 4 listeners.

25
Dynamic Center-of-Gravity Maskers
  • Masking of brief probe by FM glide (left
    panel) and by VF glide (right panel). Probe is
    in the spectro-temporal center of each masker.
    Five auditory filter bands are illustrated.

26
Masking Results
27
Glide Direction Asymmetry
  • Gordon and Poeppel
  • 3 Frequency ranges (for F1,F2 F3)
  • 30 unpracticed listeners 20 trials / signal
  • One interval Direction Identification Up vs. Dn
  • Best results at high frequency (F3) range
  • 10- through 160 ms Up is easier to ID than Dn
  • Less clear-cut results at low or mid-freq. ranges

28
Glide Direction Asymmetry
  • Gordon and Poeppel ARLO (2002)
  • Identification of FM Sweep direction is easier
    for rising than for falling tones.

29
Glide Direction Asymmetry
  • Dawson, (2002)
  • Tested only high frequency range (F3)
  • Practiced listeners 100 all conditions!
  • Modified procedure
  • Rove each frequency sweep over 1 octave
  • Practice to asymptote

30
Glide ID Results
  • Average for 4 listeners
  • One-interval ID task
  • 250 trials / datum point
  • Well-practiced Subjs
  • Starting frequency roved over 1-octave range
  • Summary
  • FM easier than VF
  • Up easier than Down

31
CV Identification Experiment
  • da ga continuum varying F3 transition
  • Duration 50 ms transition into 200 ms base
  • F3 onset 2018 to 2658 Hz in 80 Hz steps
  • F3 base 2527 Hz (constant)
  • Formant transition type
  • Klatt synthesizer
  • Frequency Modulated tone glide
  • Virtual Frequency glide

32
CV Identification Stimuli
Spectrogram 1. Step 1 of Klatt Monaural
Continuum/ga/ endpoint
33
CV Identification Stimuli
Spectrogram 2. Step 1 of FM Monaural
Continuum/ga/ endpoint
34
CV Identification Stimuli
Spectrogram 3. Step 1 of VF Monaural
Continuum/ga/ endpoint
35
CV Identification Stimuli
Spectrogram 4. Step 1 of Dichotic FM
Continuum/ga/ endpoint
36
CV Identification Stimuli
Spectrogram 5. Step 1 of Dichotic VF
Continuum/ga/ endpoint
37
CV Identification Experiment
  • Listeners 8 adults with normal hearing
  • Procedure One interval, 2-AFC
  • 3 transition types Klatt, FM or VF
  • 6 of 8 tokens tested
  • 20 repetitions / token
  • Results are averaged for the 8 listeners

38
CV Identification Results
39
CV Identification Results
40
Psychoacoustics of Dynamic Center-of-Gravity
Signals
  • Conclusions
  • Excitation is integrated not signal energy
  • The processing is central not peripheral
  • Masking Patterns are very different
  • Temporal Acuity results are similar for FM VF
    glides
  • Direction ID Asymmetry is similar for FM VF
    glides

41
Psychoacoustics of Dynamic Center-of-Gravity
Signals
  • Conclusions
  • CV identification functions are similar for
  • Klatt synthesized sounds
  • FM formant sounds
  • VF formant sounds
  • Thus, it doesnt matter how excitation is moved
    from A to B, the brain will interpret it as the
    same sound.
  • The effect is evident under dichotic listening
    further support for central processing.

42
Collaborators
43
Psychoacoustics of Dynamic Center-of-Gravity
Signals
  • Thank You
  • Questions?

44
Up vs. Down FM Glide
45
Up vs. Down FM Glide
46
Up vs. Down VF Glide
47
Up vs. Down VF Glide
48
Effect of Masker Direction
  • Masking produced by VF (above) and FM (below)
    maskers with D F 5 ERB. Purple bars are up
    glides yellow bars are down glides. Centered
    probe.

49
Effect of Masker Position
  • Masking produced by VF (above) and FM
    (below) maskers with D F 5 ERB. Purple bars
    are up glides yellow bars are down glides.

50
Klatt FM Parameters
51
Virtual Frequency Parameters
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