Natural speech perception requires processing the current acoustic input while keeping in
mind the preceding one and predicting the next. This complex computational problem could …

Natural speech perception requires processing the ongoing acoustic input while keeping in
mind the preceding one and predicting the next. This complex computational problem could …

Speech comprehension requires segmenting continuous speech to connect it on-line with
discrete linguistic neural representations. This process relies on theta-gamma oscillation …

Unraveling how humans effortlessly grasp speech despite diverse environmental
challenges has long intrigued researchers in systems and cognitive neuroscience. The …

On-line comprehension of natural speech requires segmenting the acoustic stream into
discrete linguistic elements. This process is argued to rely on theta-gamma oscillation …

Many of today's state-of-the-art automatic speech recognition (ASR) systems are based on
hybrid hidden Markov models (HMM) that rely on neural networks to provide acoustic and …

Languages have long been described according to their perceived rhythmic attributes. The
associated typologies are of interest in psycholinguistics as they partly predict newborns' …

Unraveling the mysteries of how humans effortlessly grasp speech amidst diverse
environmental challenges has long intrigued researchers in systems and cognitive …

Unraveling the mysteries of how humans effortlessly grasp speech amidst diverse
environmental challenges has long intrigued researchers in systems and cognitive …

Statistical learning is the ability to extract and retain statistical regularities from the
environment. In language, extracting statistical regularities—so-called transitional …