Litcius/Paper detail

Rapid Enhancement of Subcortical Neural Responses to Sine-Wave Speech

Fan-Yin Cheng, Can Xu, Lisa Gold, Spencer Smith

2021Frontiers in Neuroscience15 citationsDOIOpen Access PDF

Abstract

The efferent auditory nervous system may be a potent force in shaping how the brain responds to behaviorally significant sounds. Previous human experiments using the frequency following response (FFR) have shown efferent-induced modulation of subcortical auditory function online and over short- and long-term time scales; however, a contemporary understanding of FFR generation presents new questions about whether previous effects were constrained solely to the auditory subcortex. The present experiment used sine-wave speech (SWS), an acoustically-sparse stimulus in which dynamic pure tones represent speech formant contours, to evoke FFR SWS . Due to the higher stimulus frequencies used in SWS, this approach biased neural responses toward brainstem generators and allowed for three stimuli (/bɔ/, /bu/, and /bo/) to be used to evoke FFR SWS before and after listeners in a training group were made aware that they were hearing a degraded speech stimulus. All SWS stimuli were rapidly perceived as speech when presented with a SWS carrier phrase, and average token identification reached ceiling performance during a perceptual training phase. Compared to a control group which remained naïve throughout the experiment, training group FFR SWS amplitudes were enhanced post-training for each stimulus. Further, linear support vector machine classification of training group FFR SWS significantly improved post-training compared to the control group, indicating that training-induced neural enhancements were sufficient to bolster machine learning classification accuracy. These results suggest that the efferent auditory system may rapidly modulate auditory brainstem representation of sounds depending on their context and perception as non-speech or speech.

Topics & Concepts

Sine waveNeuroscienceSineAudiologyPsychologySpeech recognitionComputer sciencePhysicsMedicineMathematicsQuantum mechanicsGeometryVoltageHearing Loss and RehabilitationNeuroscience and Music PerceptionSpeech and Audio Processing