Automatic speech recognition for under-resourced languages: A survey
MetadataShow full item record
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 survey that focuses on automatic speech recognition (ASR) for these languages. The definition of under-resourced languages and the challenges associated to them are first defined. The main part of the paper is a literature review of the recent (last 8 years) contributions made in ASR for under-resourced languages. Examples of past projects and future trends when dealing with under-resourced languages are also presented. We believe that this paper will be a good starting point for anyone interested to initiate research in (or operational development of) ASR for one or several under-resourced languages. It should be clear, however, that many of the issues and approaches presented here, apply to speech technology in general (text-to-speech synthesis for instance).
Showing items related by title, author, creator and subject.
Lombard, E; Carney, T (2011)Since 1994 the official language status in South Africa went from two state languages to eleven. This caused English to stand out as the lingua franca of the wider community and resulted in government using English as ...
Mostert, Annamarie (North-West University, 2008)This study evaluates a teacher development course on the use of English as the language of learning and teaching (LoLT). The course was developed and implemented in a sample of Intermediate Phase classrooms in four rural ...
Du Plessis, Adele (Potchefstroom University for Christian Higher Education, 1997)This thesis focuses on the theory and practice of language editing in Afrikaans. However, this is only an introductory study and in no way an in depth study. The aim of this study was to determine the extent to which the ...