This paper presents our work in automatic speech recognition (ASR) in the context of under-
resourced languages with application to Vietnamese. Different techniques for bootstrapping …

Abstract Ambient Intelligence (AmI) and Smart Environments (SmE) are based on three
foundations: ubiquitous computing, ubiquitous communication and intelligent adaptive …

This paper presents our first steps in fast acoustic modeling for a new target language. Both
knowledge-based and data-driven methods were used to obtain phone mapping tables …

Recently, research related to multi-lingual and cross-lingual speech has gained increasing
popularity. One of the major problems when dealing with multi-lingual speech data is the …

There are more than 6000 languages in the world but only a small number possess the
resources required for implementation of human language technologies (HLT). Thus, HLT …

This paper presents a product-of-expert framework to perform probabilistic acoustic mapping
for cross-lingual phone recognition. Under this framework, the posterior probabilities of the …

This paper considers the recognition of a widely observed type of bilingual code-switched
speech: the speaker speaks primarily the host language (usually his native language), but …

This paper addresses particularly the use of acoustic-phonetic unit similarities for portability
of context dependent acoustic models to new languages. Since the IPA-based method is …

The efficiency and correctness of continuous Arabic Speech Recognition Systems (ARS)
hinge on the accuracy of the language phoneme set. The main goal of this research is to …

This paper presents our recent work on the development of a grammar-constrained,
Mandarin-English bilingual Speech Recognition System (MESRS) for real world music …