Browsing Faculty of Engineering by Subject "Under-resourced languages"

Now showing items 1-7 of 7

    • Automatic speech recognition for under-resourced languages: A survey 

      Besacier, Laurent; Barnard, Etienne; Karpov, Alexey; Schultz, Tanja (Elsevier, 2014)
      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 ...

    • Efficient harvesting of Internet audio for resource-scarce ASR 

      Davel, Marelie H.; van Heerden, Charl; Kleynhans, Neil; Barnard, Etienne (Interspeech 2011, 2011)
      Spoken recordings that have been transcribed for human reading (e.g. as captions for audiovisual material, or to provide alternative modes of access to recordings) are widely available in many languages. Such recordings ...

    • Medium-vocabulary speech recognition for under-resourced languages 

      Van Heerden, Charl J.; Barnard, Etienne; Davel, Marelie H. (SLTU, 2012)
      We report on the development of speech-recognition systems that are able to perform accurate recognition on mediumvocabulary tasks (i.e. tasks that require distinctions between approximately 200 different terms). We are ...

    • Phone recognition for spoken web search 

      Barnard, Etienne; van Heerden, Charl; Kleynhans, Neil; Bali, Kalika; Davel, Marelie H. (MediaEval Workshop, Pisa, Italy, 2011)
      Aiming at both speaker independence and robustness with respect to recognition errors in the spoken queries, we have implemented a two-pass system for spoken web search. In the first pass, unconstrained phone recognition ...

    • A smartphone-based ASR data collection tool for under-resourced languages 

      De Vries, Nic J.; Badenhorst, Jaco; Basson, Willem D.; De Wet, Febe; Barnard, Etienne; De Waal, Alta; Davel, Marelie H. (Elsevier, 2014)
      Acoustic data collection for automatic speech recognition (ASR) purposes is a particularly challenging task when working with under-resourced languages, many of which are found in the developing world. We provide a brief ...

    • Speech data collection in an under-resourced language within a multilingual context 

      Molapo, Raymond; Barnard, Etienne; de Wet, Febe (International Research Institute MICA, 2014)
      In this paper, we present an end-to-end solution to the development of an automatic speech recognition (ASR) system in typical under-resourced languages, where the target language is likely to be influenced by one more ...

    • Woefzela - an open-source platform for ASR data collection in the developing world 

      de Vries, Nic J.; Badenhorst, Jaco; Davel, Marelie H.; Barnard, Etienne; de Waal, Alta (Interspeech 2011, 2011)
      Building transcribed speech corpora for under-resourced languages plays a pivotal role in developing speech technologies for such languages. We have developed an open-source tool for devices running the Android operating ...