Non-negative matrix factorization improves the efficiency of recording frequency-following responses in normal-hearing adults and neonates.

Objective: One challenge in extracting the scalp-recorded frequency-following response (FFR) is related to its inherently small amplitude, which means that the response cannot be identified with confidence when only a relatively small number of recording sweeps are included in the averaging procedure.

Design: This study examined how the non-negative matrix factorisation (NMF) algorithm with a source separation constraint could be applied to improve the efficiency of FFR recordings. Conventional FFRs elicited by an English vowel/i/with a rising frequency contour were collected.

Separating the Novel Speech Sound Perception of Lexical Tone Chimeras From Their Auditory Signal Manipulations: Behavioral and Electroencephalographic Evidence.

Previous research has shown the novelty of lexical-tone chimeras (artificially constructed speech sounds created by combining normal speech sounds of a given language) to native speakers of the language from which the chimera components were drawn. However, the source of such novelty remains unclear. Our goal in this study was to separate the effects of chimeric tonal novelty in Mandarin speech from the effects of auditory signal manipulations.

A Demonstration of Machine Learning in Detecting Frequency Following Responses in American Neonates.

In this study, we sought to evaluate the efficiencies of multiple machine learning algorithms in detecting neonates' Frequency Following Responses (FFRs). We recorded continuous brainwaves from 43 American neonates in response to a pre-recorded monosyllable/i/with a rising frequency contour. Recordings were classified into response and no response categories.

Subcortical frequency-coding errors are linked to speaker-variability intolerance in normal-hearing adults.

Processing speaker-specific information is an important task in daily communication. This study examined how fundamental frequency (F0) cues were encoded at the subcortical level, as reflected by scalp-recorded frequency-following responses, and their relationship with the listener's ability in processing speech stimuli produced by multiple speakers. By using Mandarin tones with distinctive F0 contours, the results indicated that subcortical frequency-coding errors were significantly correlated with the listener's speaker-variability intolerance for both percent correct and reaction time measures.