Molapo, RBarnard, E2015-03-122015-03-122014-11Molapo, R and Barnard, E. 2014. Number pronunciation in a multilingual environment and implications for an ASR system. Pattern Recognition Association of South Africa (PRASA), Cape Town, South Africa, 27 - 28 November 2014, pp 138-141978-0-620-62617-0http://hdl.handle.net/10204/7902Pattern Recognition Association of South Africa (PRASA), Cape Town, South Africa, 27 - 28 November 2014The purpose of this paper is to address the challenges and describe step-by-step solutions faced when developing an automatic speech recognition system in multilingual societies. We give a brief statistical analysis of the data that have been harvested from the internet. The harvesting process operates in a multilingual environment where code-switching is the norm. We specifically focus our attention on the challenge of number normalization, pronunciation and the variations associated with it. We then develop various systems to illustrate the effects of different approaches to modelling the pronunciation of numbers.enAutomatic speech recognition systemMultilingual societiesInteractive Voice ResponseIVRConference PresentationMolapo, R., & Barnard, E. (2014). Number pronunciation in a multilingual environment and implications for an ASR system. Pattern Recognition Association of South Africa. http://hdl.handle.net/10204/7902Molapo, R, and E Barnard. "Number pronunciation in a multilingual environment and implications for an ASR system." (2014): http://hdl.handle.net/10204/7902Molapo R, Barnard E, Number pronunciation in a multilingual environment and implications for an ASR system; Pattern Recognition Association of South Africa; 2014. http://hdl.handle.net/10204/7902 .TY - Conference Presentation AU - Molapo, R AU - Barnard, E AB - The purpose of this paper is to address the challenges and describe step-by-step solutions faced when developing an automatic speech recognition system in multilingual societies. We give a brief statistical analysis of the data that have been harvested from the internet. The harvesting process operates in a multilingual environment where code-switching is the norm. We specifically focus our attention on the challenge of number normalization, pronunciation and the variations associated with it. We then develop various systems to illustrate the effects of different approaches to modelling the pronunciation of numbers. DA - 2014-11 DB - ResearchSpace DP - CSIR KW - Automatic speech recognition system KW - Multilingual societies KW - Interactive Voice Response KW - IVR LK - https://researchspace.csir.co.za PY - 2014 SM - 978-0-620-62617-0 T1 - Number pronunciation in a multilingual environment and implications for an ASR system TI - Number pronunciation in a multilingual environment and implications for an ASR system UR - http://hdl.handle.net/10204/7902 ER -