Physiological evidence for a temporal processing mechanism underlying voice‐onset time (VOT) encoding

2004 ◽  
Vol 115 (5) ◽  
pp. 2466-2466
Author(s):  
Mitchell Steinschneider ◽  
Yonatan I. Fishman ◽  
Igor O. Volkov ◽  
Matthew A. Howard
Keyword(s):  
Temporal Processing ◽  
Voice Onset Time ◽  
Onset Time ◽  
Physiological Evidence ◽  
Processing Mechanism

scholarly journals Noise-Induced Change of Cortical Temporal Processing in Cochlear Implant Users

2020 ◽  
Vol 13 (3) ◽  
pp. 241-248 ◽  
Author(s):  
Ji-Hye Han ◽  
Jihyun Lee ◽  
Hyo-Jeong Lee
Keyword(s):  
Speech Perception ◽  
Cochlear Implant ◽  
Temporal Processing ◽  
Auditory Evoked Potentials ◽  
Voice Onset Time ◽  
Signal To Noise Ratio ◽  
Onset Time ◽  
Noise Signal ◽  
Noise Masking ◽  
Cortical Auditory Evoked Potentials

Objectives. Cochlear implant (CI) users typically report impaired ability to understand speech in noise. Speech understanding in CI users decreases with noise due to reduced temporal processing ability, and speech perceptual errors involve stop consonants distinguished by voice onset time (VOT). The current study examined the effects of noise on various speech perception tests while at the same time used cortical auditory evoked potentials (CAEPs) to quantify the change of neural processing of speech sounds caused by noise. We hypothesized that the noise effects on VOT processing can be reflected in N1/P2 measures, the neural changes relate to behavioral speech perception performances.Methods. Ten adult CI users and 15 normal-hearing (NH) people participated in this study. CAEPs were recorded from 64 scalp electrodes in both quiet and noise (signal-to-noise ratio +5 dB) and in passive and active (requiring consonant discrimination) listening. Speech stimulus was synthesized consonant-vowels with VOTs of 0 and 50 ms. N1-P2 amplitudes and latencies were analyzed as a function of listening condition. For the active condition, the P3b also was analyzed. Behavioral measures included a variety of speech perception tasks.Results. For good performing CI users, performance in most speech test was lower in the presence of noise masking. N1 and P2 latencies became prolonged with noise masking. The P3b amplitudes were smaller in CI groups compared to NH. The degree of P2 latency change (0 vs. 50 ms VOT) was correlated with consonant perception in noise.Conclusion. The effects of noise masking on temporal processing can be reflected in cortical responses in CI users. N1/P2 latencies were more sensitive to noise masking than amplitude measures. Additionally, P2 responses appear to have a better relationship to speech perception in CI users compared to N1.

scholarly journals Longitudinal Developments in Bilingual Second Language Acquisition and First Language Attrition of Speech: The Case of Arnold Schwarzenegger

Languages ◽  
2021 ◽  
Vol 6 (2) ◽  
pp. 61
Author(s):  
Lisa Kornder ◽  
Ineke Mennen
Keyword(s):  
Second Language ◽  
Second Language Acquisition ◽  
Voice Onset Time ◽  
First Language ◽  
Onset Time ◽  
Speech Development ◽  
Dynamic Interactions ◽  
First Language Attrition ◽  
Second Formant ◽  
L1 And L2

The purpose of this investigation was to trace first (L1) and second language (L2) segmental speech development in the Austrian German–English late bilingual Arnold Schwarzenegger over a period of 40 years, which makes it the first study to examine a bilingual’s speech development over several decades in both their languages. To this end, acoustic measurements of voice onset time (VOT) durations of word-initial plosives (Study 1) and formant frequencies of the first and second formant of Austrian German and English monophthongs (Study 2) were conducted using speech samples collected from broadcast interviews. The results of Study 1 showed a merging of Schwarzenegger’s German and English voiceless plosives in his late productions as manifested in a significant lengthening of VOT duration in his German plosives, and a shortening of VOT duration in his English plosives, closer to L1 production norms. Similar findings were evidenced in Study 2, revealing that some of Schwarzenegger’s L1 and L2 vowel categories had moved closer together in the course of L2 immersion. These findings suggest that both a bilingual’s first and second language accent is likely to develop and reorganize over time due to dynamic interactions between the first and second language system.

Phonetic feature size in second language acquisition: Examining VOT in voiceless and voiced stops

2021 ◽  
pp. 026765832110089
Author(s):  
Daniel J Olson
Keyword(s):  
Second Language ◽  
Second Language Acquisition ◽  
Voice Onset Time ◽  
Onset Time ◽  
Stop Consonant ◽  
Acoustic Similarity ◽  
Stop Consonants ◽  
Voiceless Stop ◽  
English Speaking ◽  
Underlying Mechanisms

Featural approaches to second language phonetic acquisition posit that the development of new phonetic norms relies on sub-phonemic features, expressed through a constellation of articulatory gestures and their corresponding acoustic cues, which may be shared across multiple phonemes. Within featural approaches, largely supported by research in speech perception, debate remains as to the fundamental scope or ‘size’ of featural units. The current study examines potential featural relationships between voiceless and voiced stop consonants, as expressed through the voice onset time cue. Native English-speaking learners of Spanish received targeted training on Spanish voiceless stop consonant production through a visual feedback paradigm. Analysis focused on the change in voice onset time, for both voiceless (i.e. trained) and voiced (i.e. non-trained) phonemes, across the pretest, posttest, and delayed posttest. The results demonstrated a significant improvement (i.e. reduction) in voice onset time for voiceless stops, which were subject to the training paradigm. In contrast, there was no significant change in the non-trained voiced stop consonants. These results suggest a limited featural relationship, with independent voice onset time (VOT) cues for voiceless and voices phonemes. Possible underlying mechanisms that limit feature generalization in second language (L2) phonetic production, including gestural considerations and acoustic similarity, are discussed.

scholarly journals VOICE ONSET TIME IN MULTILINGUAL SPEAKERS: ITALIAN HERITAGE SPEAKERS IN GERMANY WITH L3 ENGLISH

2021 ◽  
pp. 1-25
Author(s):  
Miriam Geiss ◽  
Sonja Gumbsheimer ◽  
Anika Lloyd-Smith ◽  
Svenja Schmid ◽  
Tanja Kupisch
Keyword(s):  
Heritage Language ◽  
Voice Onset Time ◽  
Onset Time ◽  
English Speakers ◽  
Control Group ◽  
Heritage Speakers ◽  
Third Language ◽  
Bilingual Advantage ◽  
L3 Acquisition ◽  
Crosslinguistic Influence

Abstract This study brings together two previously largely independent fields of multilingual language acquisition: heritage language and third language (L3) acquisition. We investigate the production of fortis and lenis stops in semi-naturalistic speech in the three languages of 20 heritage speakers (HSs) of Italian with German as a majority language and English as L3. The study aims to identify the extent to which the HSs produce distinct values across all three languages, or whether crosslinguistic influence (CLI) occurs. To this end, we compare the HSs’ voice onset time (VOT) values with those of L2 English speakers from Italy and Germany. The language triad exhibits overlapping and distinct VOT realizations, making VOT a potentially vulnerable category. Results indicate CLI from German into Italian, although a systemic difference is maintained. When speaking English, the HSs show an advantage over the Italian L2 control group, with less prevoicing and longer fortis stops, indicating a specific bilingual advantage.

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