Speech processing for under-resourced languages is an active field of research, which has
experienced significant progress during the past decade. We propose, in this paper, a …

Natural language processing (NLP) aims, broadly speaking, to teach computers to
understand human language. This is hard as the computer must comprehend many facets of …

In this paper, we study the problem of generating mispronounced speech mimicking non-
native (L2) speakers learning English as a Second Language (ESL) for the …

This study investigates the possibility of using statistical machine translation to create
domain-specific language resources. We propose a methodology that aims to create a …

For pronunciation dictionary creation, we propose the combination of grapheme-to-
phoneme (G2P) converter outputs where low resources are available to train the single …

In this paper we study the potential as well as the challenges of using the World Wide Web
as a seed for the rapid generation of pronunciation dictionaries in new languages. In …

В последнее десятилетие активно развивающаяся область компьютерной обработки
речи для малоресурсных и миноритарных языков испытывает значительный подъем. В …

This study investigates the use of machine translated text for ASR domain adaptation. The
proposed methodology is applicable when domain-specific data is available in language X …

Automatic speech recognition will soon be a part of everyday life. Even today many people
use the speech recognizer in their smartphones, whether it is Google Now or Siri …

The Arabic language has many varieties, including its standard form, Modern Standard
Arabic (MSA), and its spoken forms, namely the dialects. Those dialects are representative …