This paper addresses the topic of defining phonetic broad classes needed during acoustic
modeling for speech recognition in the procedure of decision tree based clustering. The …

A system and method for automatic recognition of foreign speakers by performing analysis of
a speech sample to produce a signal representative thereof and attempting to match the …

This paper describes the CMU Let's Go!! bus information system, an experimental system
designed to study the use of spoken dialogue interfaces by non-native speakers. The …

The problem of adapting acoustic models of native English speech to nonnative speakers is
addressed from a perspective of adaptive model complexity selection. The goal is to select …

Acoustic models for speech recognition are often trained on data coming from a variety of
sources. The usual approach is to pool together all of the available training data …

In this paper we report on the combination of multilingual Hidden Markov Models for the
recognition of non-native speech. Using a digit recognition task as an example, we first …

In a previous work [1], we have shown that model interpolation can be applied for acoustic
model adaptation for a specific show. Compared to other approaches, this method has the …

In this paper we report on recent progress in the use of multilingual Hidden Markov Models
for the recognition of non-native speech. While we have previously discussed the use of …

Abstract Human-Computer Interactions (HCI) are extremely important in today's fast
developing AI environment. The process of voice recognition involves taking the most …

In this paper, an improved method of model complexity selection for nonnative speech
recognition is proposed by using maximum a posteriori (MAP) estimation of bias …