We introduce the Universal Speech Model (USM), a single large model that performs
automatic speech recognition (ASR) across 100+ languages. This is achieved by pre …

Markov models are extremely useful as a general, widely applicable tool for many areas in
statistical pattern recognition. This unique text/reference places the formalism of Markov …

Current-generation automatic speech recognition (ASR) systems model spoken discourse
as a quasi-linear sequence of words and phones. Because it is unusual for every phone …

In recent years, considerable progress has been made in the eld of continuous speech
recognition where the predominant technology is based on hidden Markov models (HMMs) …

In a gaming system, a user controls actions of characters in the game environment using
speech commands. In a learn ing mode, available speech commands are displayed in a …

This paper describes a method for the construction of a word graph (or lattice) for large
vocabulary, continuous speech recognition. The advantage of a word graph is that a fairly …

The authors gives a unifying view of the dynamic programming approach to the search
problem. They review the search problem from the statistical point-of-view and show how the …

This paper reports results obtained in benchmark tests conducted within the ARPA Spoken
Language program in November and December of 1993. In addition to ARPA contractors …

In recent years there has been a significant body of work, both theoretical and experimental,
that has established the viability of artificial neural networks (ANN's) as a useful technology …

Initially introduced in the late 1960s and early 1970s, dynamic programming algorithms
have become increasingly popular in automatic speech recognition. There are two reasons …