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

Browsing by Author "Barnard, E"

Sort by: Order: Results:

  • Smit, WJ; Barnard, E (Elsevier, 2009-04)
    Sparse coding is an efficient way of coding information. In a sparse code most of the code elements are zero; very few are active. Sparse codes are intended to correspond to the spike trains with which biological neurons ...
  • Ndwe, TJ; Barnard, E; Foko, Thato E (IST Africa 2013 Conference Proceedings, 2013-05)
    Access to information and communication is one of the most important needs in any population group. It is generally challenging for people in the developing world to access information because the tools and the technologies ...
  • 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 ...
  • Van der Walt, Christiaan M; Barnard, E (2006-11)
    The relationship between the distribution of data, on the one hand, and classifier performance, on the other, for non-parametric classifiers has been studied. It is shown that predictable factors such as the available ...
  • Davel, MH; Barnard, E (PRASA 2004, 2004-11)
    The authors define a novel g-to-p prediction algorithm that utilises the concept of a 'default phoneme': a grapheme which is realised as a specific phoneme significantly more often than as any other phoneme. They found ...
  • Van der Walt, Christiaan M; Barnard, E (PRASA, 2009-11)
    The authors propose a hyper-ellipsoid clustering algorithm that grows clusters from local structures in a dataset and estimates the underlying geometrical structure of data with a set of hyper-ellipsoids. The clusters are ...
  • Davel, M; Barnard, E (2006-09)
    Pronunciation lexicons often contain pronunciation variants. This can create two problems: It can be difficult to define these variants in an internally consistent way and it can also be difficult to extract generalised ...
  • Govender, N; Barnard, E; Davel, M (PRASA, 2005-11)
    In order to bring the tools of statistical pattern recognition to bear on intonation modelling, we need tailor-made corpora in the languages of interest. We describe how two such corpora were developed (for isiZulu and ...
  • Peché, M; Davel, MH; Barnard, E (South African Institute of Electrical Engineers (SAIEE), 2009-12)
    This article introduces the first Spoken Language Identification system developed to distinguish among all eleven of South Africa’s official languages. The PPR-LM (Parallel Phoneme Recognition followed by Language Modeling) ...
  • Zulu, N; Barnard, E (2006-11)
    This paper describes ongoing work in which the main objective is to quantitatively determine the linguistic distances between languages and dialects. The Levenshtein distance measure is applied to orthographic and phonetic ...
  • Schlunz, GI; Barnard, E (PRASA 2013 Proceedings, 2013-12)
    This paper introduces a model of affect to improve prosody in text-to-speech synthesis. It operates on the discourse level of text to predict the underlying linguistic factors that contribute towards emotional appraisal, ...
  • Molapo, R; Barnard, E; De Wet, Febe (PRASA 2013 Proceedings, 2013-12)
    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 ...
  • Joubert, G; Barnard, E (PRASA, 2005-11)
    The authors describe a system, based on open-source tools, that was developed in order to study the effect of network degenerations in Voice-over-Internet-Protocol applications on speech-recognition accuracy. Sophisticated ...
  • Kleynhans, NT; Barnard, E (Springer Verlag, 2014-10)
    Automatic speech recognition (ASR) technology has matured over the past few decades and has made significant impacts in a variety of fields, from assistive technologies to commercial products. However, ASR system development ...
  • Davel, MH; Barnard, E (2004-10)
    Bootstrapping techniques have significant potential for the efficient generation of linguistic resources such as electronic pronunciation dictionaries. The authors describe a system and an approach to bootstrapping for the ...
  • Davel, MH; Barnard, E (2004-10)
    The authors focus on factors related to the underlying rule-extraction algorithms, and demonstrate variants of the Dynamically Expanding Context algorithm, which are beneficial for this application. They show that continuous ...
  • 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 ...
  • Davel, M; Barnard, E (2006-11)
    When developing a language resource, there is generally a trade-off between the amount of effort invested in the resource creation process and the quality of the resulting resource. We (authors) argue that, in the developing ...
  • De Waal, A; Barnard, E (PRASA 2008, 2008-11)
    Topic models are unsupervised techniques that extract likely topics from text corpora, by creating probabilistic word-topic and topic-document associations. Evaluation of topic models is a challenge because (a) topic models ...
  • Davel, M; Barnard, E (2006-04)
    Various automated techniques can be used to generalise from phonemic lexicons through the extraction of grapheme-to-phoneme rule sets. These techniques are particularly useful when developing pronunciation models for ...