The most salient acoustic features in speech are the modulations in its intensity, captured by
the amplitude envelope. Perceptually, the envelope is necessary for speech …

From a brain's-eye-view, when a stimulus occurs and what it is are interrelated aspects of
interpreting the perceptual world. Yet in practice, the putative perceptual inferences about …

In this paper, we present a time domain aperiodicity, periodicity, and pitch (APP) detector
that estimates 1) the proportion of periodic and aperiodic energy in a speech signal and 2) …

This paper reviews the literature related to the acoustic–phonetic analysis of speech and the
speech recognition approaches that use these types of knowledge. At first, acoustic …

Of all the sounds in any language, nasals are the only class of sounds with dominant speech
output from the nasal cavity as opposed to the oral cavity. This gives nasals some special …

Automatic and accurate detection of the closure-burst transition events of stops and
affricates serves many applications in speech processing. A temporal measure named the …

Fricatives are an important class of speech sounds which exhibit noisy characteristics with
dominant high-frequency components. Accurate detection of fricative segments in …

A probabilistic framework for a landmark-based approach to speech recognition is
presented for obtaining multiple landmark sequences in continuous speech. The landmark …

A probabilistic and statistical framework is presented for automatic speech recognition
based on a phonetic feature representation of speech sounds. In this acoustic-phonetic …

Self-attention mechanisms have enabled transformers to achieve superhuman-level
performance on many speech-to-text (STT) tasks, yet the challenge of automatic prosodic …