This paper presents a biologically plausible generative model and inference scheme that is
capable of simulating communication between synthetic subjects who talk to each other …

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 …

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 …

Most current very low bit rate (VLBR) speech coding systems use hidden Markov model
(HMM) based speech recognition and synthesis techniques. This allows transmission of …

Speech coding is a field in which compression paradigms have not changed in the last 30
years. Speech signals are most commonly encoded with compression methods that have …

Early detection of Parkinson's disease (PD), one of the most common neurodegenerative
diseases, is crucial for successful treatment and symptom management. In this study, we …

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

Syllabication or syllabification is an activity to detect syllable boundaries in a word. There
are two main ways for automatic syllabification, namely rule-based and data-driven. The rule …

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 …