Besacier, LaurentBarnard, EtienneKarpov, AlexeySchultz, Tanja2014-09-252014-09-252014Besacier, L., Barnard, E., et al. 2014 Automatic speech recognition for under-resourced languages: A survey. Speech communications, 56:85-100. [http://www.journals.elsevier.com/speech-communication/]0038-63081573-9672 (O)http://hdl.handle.net/10394/11473Speech 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).enUnder-resourced languagesAutomatic speech recognition (ASR)Language portabilitySpeech and language resources acquisitionStatistical language modelingCrosslingual acoustic modeling and adaptationAutomatic pronunciation generationLexical modelingArticle