Neural bases of listening to speech in noise

نویسندگان

  • Patrick C. M. Wong
  • Kiara M. Lee
  • Todd B. Parrish
چکیده

Ubiquitous speech processing involves listening to speech in ecological environments where noise is often present. The current study investigates the neural mechanisms involved in perceiving speech in noise using a sparse sampling fMRI method. Subjects were asked to match auditorily presented words with picture choices. The auditory stimuli were either presented in quiet or embedded in multi-talker babble noise without the presence of scanner noise in either condition. Behaviorally, it was found that subjects were slower and less accurate in identifying words presented in noise. Comparison of hemodynamic responses associated with listening to the two types of stimuli revealed increased activation in left prefrontal, inferior frontal, anterior insular, and superior temporal regions when subjects listened to speech in noise. These results confirm the importance of the lateral auditory cortex in complex auditory processing and suggest that the prefrontal cortex is likely to be prominently engaged in subvocal rehearsal when noise is affecting the integrity of the speech signal.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

روشی جدید در بازشناسی مقاوم گفتار مبتنی بر دادگان مفقود با استفاده از شبکه عصبی دوسویه

Performance of speech recognition systems is greatly reduced when speech corrupted by noise. One common method for robust speech recognition systems is missing feature methods. In this way, the components in time - frequency representation of signal (Spectrogram) that present low signal to noise ratio (SNR), are tagged as missing and deleted then replaced by remained components and statistical ...

متن کامل

Adaptive temporal encoding leads to a background-insensitive cortical representation of speech.

Speech recognition is remarkably robust to the listening background, even when the energy of background sounds strongly overlaps with that of speech. How the brain transforms the corrupted acoustic signal into a reliable neural representation suitable for speech recognition, however, remains elusive. Here, we hypothesize that this transformation is performed at the level of auditory cortex thro...

متن کامل

Single-Ended Prediction of Listening Effort Based on Automatic Speech Recognition

A new, single-ended, i.e. reference-free measure for the prediction of perceived listening effort of noisy speech is presented. It is based on phoneme posterior probabilities (or posteriorgrams) obtained from a deep neural network of an automatic speech recognition system. Additive noisy or other distortions of speech tend to smear the posteriorgrams. The smearing is quantified by a performance...

متن کامل

Integration of iconic gestures and speech in left superior temporal areas boosts speech comprehension under adverse listening conditions

Iconic gestures are spontaneous hand movements that illustrate certain contents of speech and, as such, are an important part of face-to-face communication. This experiment targets the brain bases of how iconic gestures and speech are integrated during comprehension. Areas of integration were identified on the basis of two classic properties of multimodal integration, bimodal enhancement and in...

متن کامل

Brief Communications Neural Timing Is Linked to Speech Perception in Noise

Understanding speech in background noise is challenging for every listener, including those with normal peripheral hearing. This difficulty is attributable in part to the disruptive effects of noise on neural synchrony, resulting in degraded representation of speech at cortical and subcortical levels as reflected by electrophysiological responses. These problems are especially pronounced in cli...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2005