Kleynhans, NBarnard, E2014-03-252014-03-252013-12Kleynhans, N and Barnard, E. 2013. Spoken language identification system adaptation in under-resourced environments. In: Conference Proceedings of the 24th Annual Symposium of the Pattern Recognition Association of South Africa, Johannesburg, South Africa, 2-3 December 2013http://www.prasa.org/proceedings/2013/prasa2013-07.pdfhttp://hdl.handle.net/10204/7288Conference Proceedings of the 24th Annual Symposium of the Pattern Recognition Association of South Africa, Johannesburg, South Africa, 2-3 December 2013Speech technologies have matured over the past few decades and have made significant impacts in a variety of fields, from assistive technologies to personal assistants. However, speech system development is a resource intensive activity and requires language resources such as text annotated audio recordings and pronunciation dictionaries. Unfortunately, many languages found in the developing world fall into the resource-scarce category and due to this resource scarcity the deployment of Automatic Speech Recognition (ASR) systems in the developing world is severely inhibited. Given that few task-specific corpora exist and speech technology systems perform poorly when deployed in a new environment, we investigate the use of acoustic model adaptation. We propose a new blind deconvolution technique which rapidly adapts acoustic models to a new environment and increases their overall robustness. This new technique is utilized in a Spoken Language Identification (SLID) system and significantly improves the system’s accuracy by 6% relative to the baseline system and achieves comparable performances when compared to relatively more computationally intensive standard adaptation techniques.enSpeech technologiesSpeech system developmentPattern recognitionSpoken Language IdentificationSLIDConference PresentationKleynhans, N., & Barnard, E. (2013). Spoken language identification system adaptation in under-resourced environments. PRASA 2013 Proceedings. http://hdl.handle.net/10204/7288Kleynhans, N, and E Barnard. "Spoken language identification system adaptation in under-resourced environments." (2013): http://hdl.handle.net/10204/7288Kleynhans N, Barnard E, Spoken language identification system adaptation in under-resourced environments; PRASA 2013 Proceedings; 2013. http://hdl.handle.net/10204/7288 .TY - Conference Presentation AU - Kleynhans, N AU - Barnard, E AB - Speech technologies have matured over the past few decades and have made significant impacts in a variety of fields, from assistive technologies to personal assistants. However, speech system development is a resource intensive activity and requires language resources such as text annotated audio recordings and pronunciation dictionaries. Unfortunately, many languages found in the developing world fall into the resource-scarce category and due to this resource scarcity the deployment of Automatic Speech Recognition (ASR) systems in the developing world is severely inhibited. Given that few task-specific corpora exist and speech technology systems perform poorly when deployed in a new environment, we investigate the use of acoustic model adaptation. We propose a new blind deconvolution technique which rapidly adapts acoustic models to a new environment and increases their overall robustness. This new technique is utilized in a Spoken Language Identification (SLID) system and significantly improves the system’s accuracy by 6% relative to the baseline system and achieves comparable performances when compared to relatively more computationally intensive standard adaptation techniques. DA - 2013-12 DB - ResearchSpace DP - CSIR KW - Speech technologies KW - Speech system development KW - Pattern recognition KW - Spoken Language Identification KW - SLID LK - https://researchspace.csir.co.za PY - 2013 T1 - Spoken language identification system adaptation in under-resourced environments TI - Spoken language identification system adaptation in under-resourced environments UR - http://hdl.handle.net/10204/7288 ER -