GENERAL ENQUIRIES: Tel: + 27 12 841 2911 | Email: callcentre@csir.co.za

Browsing by Author "Kleynhans, N"

Sort by: Order: Results:

  • Kleynhans, N; Molapo, R; De Wet, Febe (PRASA, 2012-11)
    The paper presents work aimed at optimising acoustic models for the AutoSecretary call routing system. To develop the optimised acoustic models: (1) an appropriate phone set was selected and used to create a pronunciation ...
  • Kleynhans, N; Molapo, R; De Wet, Febe (PRASA, 2012-11)
    The paper presents work aimed at optimising acoustic models for the AutoSecretary call routing system. To develop the optimised acoustic models: (1) an appropriate phone set was selected and used to create a pronunciation ...
  • Kleynhans, N; De Wet, Febe (Pattern Recognition Association of South Africa, 2014-11)
    Most of the developing world can still be classified as under-resourced in terms of their languages. Harvesting suitable and relatively easily accessible spoken resources can drastically improve the situation. One such ...
  • Barnard, E; Gouws, E; Wolvaardt, K; Kleynhans, N (PRASA 2004, 2004-11)
    A number of issues realted to the development of speech-recognition systems with Hidden Markov Models (HMM) are discussed. A set of systematic experiments using the HTK toolkit and the TMIT database are used to elucidate ...
  • Kleynhans, N; Barnard, E (PRASA 2008, 2008-11)
    The performance of trainable speech-processing systems deteriorates significantly when there is a mismatch between the training and testing data. The data mismatch becomes a dominant factor when collecting speech data for ...
  • Kleynhans, N; Hartman, W; Van Niekerk, D; Van Heerden, C; Schwartz, R; Tsakalidis, S; Davel, M (Elsevier, online, 2016-05)
    We investigate modeling strategies for English code-switched words as found in a Swahili spoken term detection system. Code switching, where speakers switch language in a conversation, occurs frequently in multilingual ...
  • Kleynhans, N; Barnard, E (PRASA 2013 Proceedings, 2013-12)
    Mismatches between application and training data greatly reduce the performance of automatic speech recognition (ASR) systems. However, collecting suitable amounts of in-domain and application-specific data for training ...
  • Davel, MH; Van Heerden, C; Kleynhans, N; Barnard, E (The International Speech Communication Association, 2011-08)
    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 ...
  • Kleynhans, N (Pattern Recognition Association of South Africa, 2014-11)
    There are many services that generate or archive vast amounts of spoken audio data, on a daily basis. It is infeasible for humans to create annotations, by listening to all this data, so automatic methods are needed to ...
  • Van Heerden, C; Kleynhans, N; Barnard, E; Davel, M (School of Computer Sciences, Universiti Sains Malaysia, 2010-05)
    We describe several experiments that were conducted to assess the viability of data pooling as a means to improve speech-recognition performance for under-resourced languages. Two groups of closely related languages from ...
  • Kleynhans, N; Barnard, E (PRASA 2013 Proceedings, 2013-12)
    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 ...
  • Kleynhans, N; De Wet, Febe; Barnard, E (IEEE, 2015-11)
    Large amounts of untranscribed audio data are generated every day. These audio resources can be used to develop robust acoustic models that can be used in a variety of speech-based systems. Manually transcribing this data ...
  • Kleynhans, N (Pattern Recognition Association of South Africa, 2014-11)
    Using a speech recognition system to convert spoken audio to text can enable the structuring of large collections of spoken audio data. A convenient means to summarise or cluster spoken data is to identify the topic under ...