Phone segmentation in ASR is usually performed indirectly by Viterbi decoding of HMM
output. Direct approaches also exist, eg, blind speech segmentation algorithms. In either case, …

Hyperdimensional computing (HDC) refers to the representation and manipulation of data
in a very high dimensional space using random vectors. Due to the high dimensionality, …

A novel and computationally straightforward clustering algorithm was developed for vector
quantization (VQ) of speech signals for a task of unsupervised pattern discovery (PD) from …

Statistical learning of patterns from perceptual input is an increasingly central topic in
cognitive processing including human language acquisition. We present an unsupervised …

An efficient method for pattern discovery from discrete time series is introduced in this paper.
The method utilizes two parallel streams of data, a discrete unit time-series and a set of …

This study investigates the relationship between sentence prominence and the predictability
of word-specific statistical descriptors of prosody. We extend from an earlier wordinvariant …

Human infants learn meanings for words in interaction with their environment. Individual
learning scenarios can be ambiguous due to the presence of several words and possible …

An articulatory model of speech production is created for the purpose of studying the links
between speech production and perception. A computationally effective method for speech …

This work demonstrates the use of a modified Kelly-Lochbaum (KL) vocal tract (VT) model in
dynamic mapping from speech signals to articulatory configurations. The sixteen section KL …

This work presents a learning algorithm based on transitional probabilities of atomic acoustic
events (vector quantized spectral features). The algorithm learns models for word-like units …