Automatic speech recognition for under-resourced languages: A survey

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).http://dx.doi.org/10.1016/j.specom.2013.07.008http://ac.els-cdn.com/S0167639313000988/1-s2.0-S0167639313000988-main.pdf?_tid=3a3f2966-4486-11e4-a794-00000aacb360&acdnat=1411630582_b19897b4c87d507137b66a5f1410fe9chttp://www.sciencedirect.com/science/article/pii/S016763931300098