Analysis of variance type models are considered for a regression function or for the
logarithm of a probability function, conditional probability function, density function …

Despite their known weaknesses, hidden Markov models (HMMs) have been the dominant
technique for acoustic modeling in speech recognition for over two decades. Still, the …

An automatic procedure that uses linear splines and their tensor products is proposed for
fitting a regression model to data involving a polychotomous response variable and one or …

The past decade (1990-2000) has witnessed substantial advances in speech recognition
technology, which when combined with the increase in computational power and storage …

The LIMSI Arise system provides vocal access by telephone to rail travel information for
main French intercity connections, including timetables, simulated fares and reservations …

Given the high flexional properties of the French language, transcribing French broadcast
news (BN) is more challenging than English BN. This is in part due to the large number of …

Purpose: The Speech Accessibility Project (SAP) intends to facilitate research and
development in automatic speech recognition (ASR) and other machine learning tasks for …

The processing of speech reduction remains one of the major challenges to automatic
speech recognition (ASR) systems, as speech reduction often results in a considerable …

In spontaneous and casual speech, word productions may exhibit strong deviations from
their canonical or citation form pronunciations, with a large proportion of speech reductions …

Spoken language systems aim to provide a natural interface between humans and
computers by using simple and natural dialogues to enable the user to access stored …