Background: High-functioning individuals with autism (HFA) or Asperger's syndrome (AS) commonly report difficulties understanding speech in situations where there is background speech or noise. The objective of this study was threefold: (1) to verify the validity of these reports; (2) to quantify the difficulties experienced; and (3) to propose possible mechanisms to explain the perceptual deficits described.
Method: Speech-in-noise perception abilities were measured using speech reception thresholds (SRTs), defined as the speech-to-noise ratio (SNR) at which approximately 50% of the speech is correctly identified. SRTs were measured for 11 individuals with HFA/AS and 9 age/IQ-matched normal-hearing control subjects, using an adaptive procedure, in a non-reverberant sound-attenuating chamber. The speech materials were standardised lists of everyday sentences spoken by a British male speaker. The background sounds were: (1) a single female talker; (2) a steady speech-shaped noise; (3) a speech-shaped noise with temporal dips; (4) a steady speech-shaped noise with regularly spaced spectral dips; and (5) a speech-shaped noise with temporal and spectral dips.
Results: SRTs for the HFA/AS group were generally higher (worse) than those for the controls, across the five background sounds. A statistically significant difference in SRTs between the subject groups was found only for those background sounds that contained temporal or spectro-temporal dips. SRTs for the HFA/AS individuals were 2 to 3.5 dB higher than for the controls, equivalent to a substantial decrease in speech recognition. Expressed another way, the HFA/AS individuals required a higher SNR, whenever there were temporal dips in the background sound, to perform at the same level as the controls.
Conclusions: The results suggest that the speech-in-noise perception difficulties experienced by individuals with autism may be due, in part, to a reduced ability to integrate information from glimpses present in the temporal dips in the noise.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1111/j.1469-7610.2004.t01-1-00303.x | DOI Listing |
Lang Speech Hear Serv Sch
January 2025
Center for Hearing Research, Boys Town National Research Hospital, Omaha, NE.
Purpose: Children with typical hearing and various language and cognitive challenges can struggle with processing speech in background noise. Thus, children with a language disorder (LD) are at risk for difficulty with speech recognition in poorer acoustic environments.
Method: The current study compared the effects of background speech-shaped noise (SSN) with and without reverberation on sentence recognition for children with LD ( = 9) and typical language development (TLD; = 9).
J Acoust Soc Am
December 2024
Advanced Center of Electrical and Electronic Engineering, Universidad Técnica Federico Santa María, Valparaíso, Chile.
Cogn Res Princ Implic
December 2024
Division of Geriatrics, Gerontology and Palliative Medicine, University of Nebraska Medical Center Department of Internal Medicine, Omaha, USA.
Sci Rep
November 2024
Instituto de Neurociencias de Castilla y León, Universidad de Salamanca, Calle Pintor Fernando Gallego 1, 37007, Salamanca, Spain.
Understanding speech in noisy settings is harder for hearing-impaired (HI) people than for normal-hearing (NH) people, even when speech is audible. This is often attributed to hearing loss altering the neural encoding of temporal and/or spectral speech cues. Here, we investigated whether this difference may also be due to an impaired ability to adapt to background noise.
View Article and Find Full Text PDFJ Acoust Soc Am
November 2024
Department of Psychology, University of Minnesota, Minneapolis, Minnesota 55455, USA.
Temporal coherence, where sounds with aligned timing patterns are perceived as a single source, is considered an essential cue in auditory scene analysis. However, its effects have been studied primarily with simple repeating tones, rather than speech. This study investigated the role of temporal coherence in speech by introducing across-frequency asynchronies.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!