Temporal integration of tone glides

Collins, M. J.; Cullen, Jr Jk

doi:10.1121/1.381738

Cited by 29 publications

(10 citation statements)

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“…They found a suboptimal neural encoding of periodicity in FFRs to falling linguistically-relevant tonal contours, relative to rising contours. This pitch direction asymmetry has also been documented in FFRs to non-speech signals (Krishnan & Parkinson, 2000; Krishnan et al, 2004) and in psychoacoustic experiments (Collins & Cullen Jr, 1978) in which rising tones differences were better discriminated than the ones between falling tones.…”

Section: Discussionsupporting

confidence: 57%

Hidden Markov modeling of frequency-following responses to Mandarin lexical tones

Llanos

Xie

Chandrasekaran

2017

Journal of Neuroscience Methods

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Background The frequency-following response (FFR) is a scalp-recorded electrophysiological potential reflecting phase-locked activity from neural ensembles in the auditory system. The FFR is often used to assess the robustness of subcortical pitch processing. Due to low signal-to-noise ratio at the single-trial level, FFRs are typically averaged across thousands of stimulus repetitions. Prior work using this approach has shown that subcortical encoding of linguistically-relevant pitch patterns is modulated by long-term language experience. New method We examine the extent to which a machine learning approach using hidden Markov modeling (HMM) can be utilized to decode Mandarin tone-categories from scalp-record electrophysiolgical activity. We then assess the extent to which the HMM can capture biologically-relevant effects (language experience-driven plasticity). To this end, we recorded FFRs to four Mandarin tones from 14 adult native speakers of Chinese and 14 of native English. We trained a HMM to decode tone categories from the FFRs with varying size of averages. Results and comparisons with existing methods Tone categories were decoded with above-chance accuracies using HMM. The HMM derived metric (decoding accuracy) revealed a robust effect of language experience, such that FFRs from native Chinese speakers yielded greater accuracies than native English speakers. Critically, the language experience-driven plasticity was captured with average sizes significantly smaller than those used in the extant literature. Conclusions Our results demonstrate the feasibility of HMM in assessing the robustness of neural pitch. Machine-learning approaches can complement extant analytical methods that capture auditory function and could reduce the number of trials needed to capture biological phenomena.

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Section: Discussionsupporting

confidence: 57%

Hidden Markov modeling of frequency-following responses to Mandarin lexical tones

Llanos

Xie

Chandrasekaran

2017

Journal of Neuroscience Methods

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“…1). In the earlier report, the ability to detect UP was much better than DOWN at stimulus durations above 20 ms, and we interpreted the up/down asymmetry finding, in particular, as the result of a low-level (basilar membrane) explanation for such a behavioral discrimination performance, consistent with the position espoused by Collins and Cullen (1978) and Dau et al (2000). However, such FM direction selectivity is always confused and affected by possible subject bias strategy, especially in a binary judgment task (e.g., 2AFC here), and by calculating two important parameters d-prime and b normalized in signal detection theory, we can get a clearer understanding of the factors underlying performance.…”

Section: Fm Direction Selectivity and 'Bias Strategy'supporting

confidence: 59%

The perception of FM sweeps by Chinese and English listeners

et al. 2007

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“…Given their similarities, the most outstanding difference between the maskers is their sweep direction. The experiments beating most closely on these results are masking experiments which use frequency sweeps either as maskers (Zwicker, 1974;Smoorenburg and Coninx, 1980;Kemp, 1982) or as test signals (Collins and Cullen, 1978;Nfib•lek, 1978;Cullen and Collins, 1982). All these studies include cases where the sweep direction influences the masked threshold.…”

Section: Discussionmentioning

confidence: 89%

Phase effects in masking related to dispersion in the inner ear

Smith

Sieben

Kohlrausch

et al. 1986

The Journal of the Acoustical Society of America

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Phase effects in masking experiments using multitone maskers are usually associated with strong variations in the masker envelope. In this article, psychoacoustic experiments with such maskers that lead to phase-dependent threshold variations of up to 20 dB, although the phase transformation leaves the envelope unchanged, are described. However, after filtering the maskers with a realistic basilar membrane model, the envelopes are different owing to the models phase-dispersive properties. Comparison of model outputs with the experimental results reveals a strong correlation between the two for a wide range of parameters, provided one makes the additional assumption that the ear has a minimum integration time of a few milliseconds.

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Temporal integration of tone glides

Cited by 29 publications

References 0 publications

Hidden Markov modeling of frequency-following responses to Mandarin lexical tones

Hidden Markov modeling of frequency-following responses to Mandarin lexical tones

The perception of FM sweeps by Chinese and English listeners

Phase effects in masking related to dispersion in the inner ear

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