TITLE:
Artificial Intelligence for Speech Recognition Based on Neural Networks
AUTHORS:
Takialddin Al Smadi, Huthaifa A. Al Issa, Esam Trad, Khalid A. Al Smadi
KEYWORDS:
Speech Recognition, Neural Networks, Artificial Networks, Signals Processing
JOURNAL NAME:
Journal of Signal and Information Processing,
Vol.6 No.2,
March
31,
2015
ABSTRACT: Speech recognition or speech to text
includes capturing and digitizing the sound waves, transformation of basic
linguistic units or phonemes, constructing words from phonemes and contextually
analyzing the words to ensure the correct spelling of words that sounds the
same. Approach: Studying the possibility of designing a software system using
one of the techniques of artificial intelligence applications neuron networks
where this system is able to distinguish the sound signals and neural networks
of irregular users. Fixed weights are trained on those forms first and then the
system gives the output match for each of these formats and high speed. The
proposed neural network study is based on solutions of speech recognition
tasks, detecting signals using angular modulation and detection of modulated
techniques.