The ubiquitous inverse relationship between word frequency and word rank is commonly
known as Zipf's law. The theoretical underpinning of this law states that the inverse …

Practice and recent evidence show that state-of-the-art (SotA) automatic speech recognition
(ASR) systems do not perform equally well for all speaker groups. Many factors can cause …

Automatic speech recognition (ASR) systems promise to deliver objective interpretation of
human speech. Practice and recent evidence suggests that the state-of-the-art (SotA) ASRs …

When listening to speech, our brain responses time lock to acoustic events in the stimulus.
Recent studies have also reported that cortical responses track linguistic representations of …

The notion of prediction is studied in cognitive neuroscience with increasing intensity. We
investigated the neural basis of 2 distinct aspects of word prediction, derived from …

A practical speech audiometry tool is the digits-in-noise (DIN) test for hearing screening of
populations of varying ages and hearing status. The test is usually conducted by a human …

An accessible introduction to the phonetic analysis of speech corpora, this workbook-style
text provides an extensive set of exercises to help readers develop the necessary skills to …

Background: Older adults process speech differently, but it is not yet clear how aging affects
different levels of processing natural, continuous speech, both in terms of bottom-up acoustic …

Speech tempo (articulation rate) varies both between and within speakers. The present
study investigates several factors affecting tempo in a corpus of spoken Dutch, consisting of …

Natural language analysis systems which combine knowledge-based and corpus-based
methods are now becoming accurate enough to be used in various applications. We …