Searched for: subject%3A%22phonetics%22
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document
Zekveld, A.A. (author), Kramer, S.E. (author), Kessens, J.M. (author), Vlaming, M.S.M.G. (author), Houtgast, T. (author), TNO Kwaliteit van Leven (author)
OBJECTIVES: The aim of this study was to evaluate the benefit that listeners obtain from visually presented output from an automatic speech recognition (ASR) system during listening to speech in noise. DESIGN: Auditory-alone and audiovisual speech reception thresholds (SRTs) were measured. The SRT is defined as the speech-to-noise ratio at which...
article 2008
document
Strik, H. (author), Truong, K. (author), de Wet, F. (author), Cucchiarini, C. (author), TNO Defensie en Veiligheid (author)
Providing feedback on pronunciation errors in computer assisted language learning systems requires that pronunciation errors be detected automatically. In the present study we compare four types of classifiers that can be used for this purpose: two acoustic-phonetic classifiers (one of which employs linear-discriminant analysis (LDA)), a...
conference paper 2007
document
van Wijngaarden, S.J. (author), Steeneken, H.J.M. (author), Houtgast, T. (author), TNO Technische Menskunde (author)
article 2002
document
van Wijngaarden, S.J. (author), Steeneken, H.J.M. (author), Houtgast, T. (author), TNO Technische Menskunde (author)
When listening to languages learned at a later age, speech intelligibility is generally lower than when listening to one's native language. The main purpose of this study is to quantify speech intelligibility in noise for specific populations of non-native listeners, only broadly addressing the underlying perceptual and linguistic processing. An...
article 2002
Searched for: subject%3A%22phonetics%22
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