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The role of the P-center in cortical tracking of speech

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HAL Id: hal-02068138

https://hal.archives-ouvertes.fr/hal-02068138

Submitted on 14 Mar 2019

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The role of the P-center in cortical tracking of speech

Vincent Aubanel

To cite this version:

Vincent Aubanel. The role of the P-center in cortical tracking of speech. Perceptuo-motor relationships in speech communication, Jan 2018, Genève, Switzerland. �hal-02068138�

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The role of the P-center in cortical tracking of speech

Vincent Aubanel

University of Grenoble Alpes, CNRS, GIPSA-lab, Grenoble, France

[email protected]

Introduction

• Cortical oscillations track speech [1]

• Phase-resetting

mechanisms at play

• Cortical tracking is

maintained in noise [2]

• Speech is quasi-periodic

Q1: which temporal cue is most relevant for driving

cortical tracking ?

- Amplitude envelope

- P-center

Q2: Does more regular speech help in noisy

conditions?

- naturally timed

- isochronous

- anisochronous

0 2 4 6 8

Frequency (kHz)

The LATCH on the BACK GATE NEEDS a NAIL

dhaxl ae ch oh n dhaxb ae k g ey t n iy d z ey n ey l

● ●

● ● ● ●

● ●

● ●

7

1

8

6

2

3 5 4

1

2

3 4

0.00 0.25 0.50 0.75 1.00

Amplitude envelope

0.50 0.75 1.00 1.25 1.50

Time scale function

0 2 4 6 8

Frequency (kHz)

The LATCH on theBACK GATE NEEDS a NAIL

dhaxl ae ch oh n dhaxb ae k g ey t n iy d z ey n ey l

0.5 1.0 1.5 2.0 2.5

time (s)

A

B C

D

E

F

3 4

stressed syllables

all

syllables

low

number of peaks

high number of peaks

Hz

Mean frequency

0.25

0.30

stressed syllables

all

syllables

low

number of peaks

high number of peaks

δ

Temporal distortion

Discussion Listeners' performance

Methods

Naturally timed speech (p-centers in red)

Isochronously retimed speech (anchored to p- centers)

WSOLA

time transformation Anchor points:

• stressed syllables

• unstressed syllables

• primary peaks

• secondary peaks

• 55 participants (Exp. I:26, Exp.II: 29)

Material: 180 Harvard sentences mixed with

speech-shaped noise at

—3dB SNR

Task: Speech intelligibility in noise

• 5 keyword scored per sentence

• Timescale function

applied to speech with WSOLA

• Anisochronous condition obtained by reversing

isochronous timescale function

• Same-duration transformation

Sentences distortion

References

All figures from: Aubanel et al. (2016) Front. Human Neurosci. 10:430

[1] Ding et al. (2016). Nature Neurosci.

19:158

[2] Fuglsang et al. (2017) Neuroimage 156:435

Acknowledgments European

Research Council (FP7 Programme, Grant no. 339152, "Speech Unit(e)s"

• Natural timing is best

• Intelligibility predicted by temporal distortion

• Isochronous better than

anisochronous, at least in noisy conditions

• P-center better candidate than amplitude envelope

peaks for cortical tracking

• Isochronous advantage:

oscillatory-based tracking, or explicitly predictable

structure?

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