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 …

Abstract Although Modern Standard Arabic is taught in schools and used in written
communication and TV/radio broadcasts, all informal communication is typically carried out …

In this article, we introduce an extended, freely available resource for the Romanian
language, named RoLEX. The dataset was developed mainly for speech processing …

Background Prehospitalization documentation is a challenging task and prone to loss of
information, as paramedics operate under disruptive environments requiring their constant …

Unmanned aerial vehicles (UAVs) are becoming widespread with applications ranging from
film-making and journalism to rescue operations and surveillance. Research communities …

Building conversational speech recognition systems for new languages is constrained by
the availability of utterances capturing user-device interactions. Data collection is expensive …

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

This research extends our earlier work on using machine translation (MT) and word-based
recurrent neural networks to augment language model training data for keyword search in …

Unsupervised acoustic modeling can offer a cost and time effective way of creating a solid
acoustic model for any under-resourced language. This paper explores the novel idea of …

In this research we compare two approaches, in particular, character-based machine
learning and language-modeling and offer the best solution for the diacritization problem …