Effect of Level of Distracting Noise upon Speaking Rate, Duration and Intensity

Hanley, T. D.; Steer, M. D.

doi:10.1044/jshd.1404.363

Cited by 69 publications

(43 citation statements)

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“…The main changes of characteristics of Lombard speech can be seen in increase in voice level, fundamental frequency and vowel duration, and a shift in formant center frequencies for F1 and F2 Applebaum et al, 1996;Junqua, 1996;. It was also reported in (Hanley & Steer, 1949) that speaking rate may be reduced when speech is produced in a noisy environment. A detailed acoustic and phonetic analysis of speech under different types of stress including the Lombard effect was carried out also in (Hansen, 1988).…”

Section: Introductionmentioning

confidence: 89%

The Influence of Lombard Effect on Speech Recognition

Vlaj¹,

Kačič²

2011

Speech Technologies

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Section: Introductionmentioning

confidence: 89%

The Influence of Lombard Effect on Speech Recognition

Vlaj¹,

Kačič²

2011

Speech Technologies

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“…Although our data do not address the nature (acoustic vs. articulatory) of the underlying phonetic representation, the fact that we observed immediate and long-term changes in production after perceptually oriented training suggests that the production improvement is the result of modified underlying representations rather than modified "output monitors" that are activated only during speech production. For example, speech produced under a noise load undergoes various modifications relative to speech produced in quiet (Draegert, 1951;Hanley & Steer, 1949;Lane & Tranel, 1971). However, in that case, the speech production modifications are due to the talker's on-line monitoring ofthe output rather than to modification of the underlying phonetic representations, as we claim to be the case in the present study.…”

Section: Discussionmentioning

confidence: 99%

Training Japanese listeners to identify English /r/and /l/: Long-term retention of learning in perception and production

Bradlow¹,

Akahane‐Yamada

Pisoni

et al. 1999

Perception & Psychophysics

357

264

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Previous work from our laboratories has shown that monolingual Japanese adults who were given intensive high-variability perceptual training improved in both perception and production of English Iri-ill minimal pairs. In this study, we extended those findings by investigating the long-term retention of learning in both perception and production of this difficult non-native contrast. Results showed that 3 months after completion of the perceptual training procedure, the Japanese trainees maintained their improved levels of performance on the perceptual identification task. Furthermore, perceptual evaluations by native American English listeners of the Japanese trainees' pretest, posttest, and 3-month follow-up speech productions showed that the trainees retained their long-term improvements in the general quality, identifiability, and overall intelligibility of their English 1r1-11/ word productions. Taken together, the results provide further support for the efficacy of high-variability laboratory speech sound training procedures, and suggest an optimistic outlook for the application of such procedures for a wide range of "special populations."Over the past decade, several important advances have been made toward establishing effective laboratory training procedures for modifying the identification of difficult non-native phonetic categories (for recent reviews, see

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“…1) and in previous studies in nonhuman primates. Furthermore, masking noise can also change other properties of vocalization, including vocal phrase timing and duration (Hanley and Steer, 1949;, implicating more complex control behaviors. Animals will also change the timing of their vocalizations to avoid overlap with patterned masking noise bursts (Egnor et al, 2007).…”

Section: Auditory-vocal Interaction and The Lombard Effectmentioning

confidence: 99%

Neural Correlates of the Lombard Effect in Primate Auditory Cortex

Eliades

Wang²

2012

Journal of Neuroscience

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Speaking is a sensory-motor process that involves constant self-monitoring to ensure accurate vocal production. Self-monitoring of vocal feedback allows rapid adjustment to correct perceived differences between intended and produced vocalizations. One important behavior in vocal feedback control is a compensatory increase in vocal intensity in response to noise masking during vocal production, commonly referred to as the Lombard effect. This behavior requires mechanisms for continuously monitoring auditory feedback during speaking. However, the underlying neural mechanisms are poorly understood. Here we show that when marmoset monkeys vocalize in the presence of masking noise that disrupts vocal feedback, the compensatory increase in vocal intensity is accompanied by a shift in auditory cortex activity toward neural response patterns seen during vocalizations under normal feedback condition. Furthermore, we show that neural activity in auditory cortex during a vocalization phrase predicts vocal intensity compensation in subsequent phrases. These observations demonstrate that the auditory cortex participates in self-monitoring during the Lombard effect, and may play a role in the compensation of noise masking during feedback-mediated vocal control.

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Effect of Level of Distracting Noise upon Speaking Rate, Duration and Intensity

Cited by 69 publications

References 1 publication

The Influence of Lombard Effect on Speech Recognition

The Influence of Lombard Effect on Speech Recognition

Training Japanese listeners to identify English /r/and /l/: Long-term retention of learning in perception and production

Neural Correlates of the Lombard Effect in Primate Auditory Cortex

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