An early achievement in language is carving a variable acoustic space into categories. The
canonical story is that infants accomplish this by the second year, when only unsupervised …

This work reviews a number of existing computational studies concentrated on the question
of how spoken language can be learned from continuous speech in the absence of …

Early changes in infants' ability to perceive native and nonnative speech sound contrasts are
typically attributed to their develo** knowledge of phonetic categories. We critically …

Syllables are often considered to be central to infant and adult speech perception. Many
theories and behavioral studies on early language acquisition are also based on syllable …

This paper presents a syllable-based approach to unsupervised pattern discovery from
speech. By first segmenting speech into syllable-like units, the system is able to limit …

Human infants learn meanings for spoken words in complex interactions with other people,
but the exact learning mechanisms are unknown. Among researchers, a widely studied …

Unsupervised spoken term discovery (UTD) aims at finding recurring segments of speech
from a corpus of acoustic speech data. One potential approach to this problem is to use …

In order to acquire their native languages, children must learn richly structured systems with
regularities at multiple levels. While structure at different levels could be learned serially, eg …

Numerous studies have examined the acoustic correlates of sentential stress and its
underlying linguistic functionality. However, the mechanism that connects stress cues to the …

We propose a novel scheme to learn a language model (LM) for automatic speech
recognition (ASR) directly from continuous speech. In the proposed method, we first …