ISCA Archive SLTU 2014
ISCA Archive SLTU 2014

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

Raymond Molapo, Etienne Barnard, Febe de Wet

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 embedded foreign languages. We first describe the collection and processing of the text corpus crawled from the World Wide Web using the Rapid Language Adaptation Toolkit. In particular, we highlight the challenges faced when foreign languages are embedded within the matrix language. Thereafter, we discuss our speech data collection efforts in under-resourced environments. We finally report on a strategy called transliteration that aids to improve recognition results of our grapheme-based automatic speech recognition system in the presence of embeddedlanguage words.

Index Terms: under-resourced languages, matrix language, transliteration, grapheme-based ASR


Cite as: Molapo, R., Barnard, E., Wet, F.d. (2014) Speech data collection in an under-resourced language within a multilingual context. Proc. 4th Workshop on Spoken Language Technologies for Under-Resourced Languages (SLTU 2014), 238-242

@inproceedings{molapo14_sltu,
  author={Raymond Molapo and Etienne Barnard and Febe de Wet},
  title={{Speech data collection in an under-resourced language within a multilingual context}},
  year=2014,
  booktitle={Proc. 4th Workshop on Spoken Language Technologies for Under-Resourced Languages  (SLTU 2014)},
  pages={238--242}
}