The purpose of the study was to investigate: 1 The attitudes and concerns of cleft palate (CP) patients and their parents toward speech problems and therapy, and 2 The impact of speech problems on the CP patients’ life. The study was conducted in the cleft palate unit of Montréal Children’s Hospital, Canada. A questionnaire was used to collect the required data. The CP patients were divided int...

In bilateral logic formulas are signed by + and -, indicating the speech acts assertion denial. I argue that making an assumption is also act. Speech cannot be embedded within other acts. Hence we make sense of notion in logic. Some attempts at a solution to this problem considered rejected.

objectives: one of the most effective methods to describe speech disorders is the measurement of speech intelligibility. the speech intelligibility indicates the extent of acoustic signals that correctly speaker produces and hearer receives. the purpose of this study was to investigate the speech intelligibility in the persian children with down syndrome, age range was 3 to 5 years, who had spo...

Researchers have been investigating methods for retrieving the articulation underlying an acoustic speech signal for more than three decades. A successful method would find many applications, for example: low bit-rate speech coding, helping individuals with speech and hearing disorders by providing visual feedback during speech training, and the possibility of improved automatic speech recognit...

The problem of speech/music discrimination is a challenging research problem which significantly impacts Automatic Speech Recognition (ASR) performance. This paper proposes new features for the Speech/Music discrimination task. We propose to use a decomposition of the audio signal based on wavelets, which allows a good analysis of non stationary signal like speech or music. We compute different...

We present a new method for speech denoising and robust speech recognition. Using the framework of probabilistic models allows us to integrate detailed speech models and models of realistic non-stationary noise signals in a principled manner. The framework transforms the denoising problem into a problem of Bayes-optimal signal estimation, producing minimum mean square error estimators of desire...