Applying the Artificial Neural Networks with Multiwavelet Transform on Phoneme recognition
نویسندگان
چکیده
منابع مشابه
Experiments with Artificial Neural Networks for Phoneme and Word Recognition
An artificial neural network has been trained by the error back-propagation technique to recognise phonemes and words. The speech material was recorded by a male Swedish talker and was labelled by a phonetician. There were 38 output nodes corresponding to Swedish phonemes. Introducing coarticulation information by adding simple recurrency to the net is shown to more effective than expanding the...
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Phoneme classification and recognition is the first step to large vocabulary continuous speech recognition. This step represents the acoustic modeling part of such a system. In hybrid speech recognition systems phoneme recognition is made by artificial neural networks (ANN’s). The main objective of this paper is the investigation of dynamic ANN’s, namely the Time-Delay Neural Networks (TDNN) an...
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ژورنال
عنوان ژورنال: Journal of Physics: Conference Series
سال: 2021
ISSN: 1742-6588,1742-6596
DOI: 10.1088/1742-6596/1804/1/012040