Human speech perception results from neural computations that transform external acoustic
speech signals into internal representations of words. The superior temporal gyrus (STG) …

Speech produced by different people varies acoustically because of individual differences in
vocal tract physiology. This acoustic variation in the “same” words of language presents a …

The human auditory system extracts rich linguistic abstractions from speech signals.
Traditional approaches to understanding this complex process have used linear feature …

In the neuroscience of language, phonemes are frequently described as multimodal units
whose neuronal representations are distributed across perisylvian cortical regions, including …

Vowels, a fundamental component of human speech across all languages, are cued
acoustically by formants, resonance frequencies of the vocal tract shape during speaking …

How humans extract the identity of speech sounds from highly variable acoustic signals
remains unclear. Here, we use searchlight representational similarity analysis (RSA) to …

Multivariate pattern analysis (MVPA) in fMRI has been used to extract information from
distributed cortical activation patterns, which may go undetected in conventional univariate …

A fundamental goal of the human auditory system is to map complex acoustic signals onto
stable internal representations of the basic sound patterns of speech. Phonemes and the …

The brain9s circuitry for perceiving and producing speech may show a notable level of
overlap that is crucial for normal development and behavior. The extent to which …

Restoring communication in case of aphasia is a key challenge for neurotechnologies. To
this end, brain-computer strategies can be envisioned to allow artificial speech synthesis …