Automatic disordered sound repetition recognition in continuous speech using CWT and kohonen network
نویسندگان
چکیده
منابع مشابه
Automatic disordered sound repetition recognition in continuous speech using CWT and kohonen network
Automatic disorders recognition in speech can be very helpful for a therapist while monitoring therapy progress of patients with disordered speech. This article is focused on sound repetitions. The signal is analyzed using Continuous Wavelet Transform with 16 bark scales. Using the silence finding algorithm, only speech fragments are automatically found and cut. Each cut fragment is converted i...
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Automatic disorders recognition in speech can be very helpful for therapist while monitoring therapy progress of patients with disordered speech. This article is focused on sound repetitions. The signal is analyzed using Continuous Wavelet Transform with 16 bark scales, the result is divided into vectors and passed into Kohonen network. Finally, the Kohonen winning neuron result is put on the 3...
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Automatic disorder recognition in speech can be very helpful for the therapist while monitoring therapy progress of the patients with disordered speech. In this article we focus on prolongations. We analyze the signal using Continuous Wavelet Transform with 18 bark scales, we divide the result into vectors (using windowing) and then we pass such vectors into Kohonen network. Quite large search ...
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ژورنال
عنوان ژورنال: Annales UMCS, Informatica
سال: 2012
ISSN: 2083-3628,1732-1360
DOI: 10.2478/v10065-012-0014-2