The authors describe the integration of several tools to enable the end-to-end development of an Automatic Speech Recognition system in a typical under-resourced language. The authors analyse the data acquired by each of the tools and develop an ASR system in Shona, an important under-resourced language of Southern Africa.
Reference:
Molapo, R, Barnard, E and De Wet, F. 2013. A distributed approach to speech resource collection. In: Conference Proceedings of the 24th Annual Symposium of the Pattern Recognition Association of South Africa, Johannesburg, South Africa 2-3 December 2013
Molapo, R., Barnard, E., & De Wet, F. (2013). A distributed approach to speech resource collection. PRASA 2013 Proceedings. http://hdl.handle.net/10204/7340
Molapo, R, E Barnard, and Febe De Wet. "A distributed approach to speech resource collection." (2013): http://hdl.handle.net/10204/7340
Molapo R, Barnard E, De Wet F, A distributed approach to speech resource collection; PRASA 2013 Proceedings; 2013. http://hdl.handle.net/10204/7340 .
Conference Proceedings of the 24th Annual Symposium of the Pattern Recognition Association of South Africa, Johannesburg, South Africa 2-3 December 2013
