International Journal of Advances in Computer Science and Cloud Computing (IJACSCC)
current issues
Volume-7,Issue-2  ( Nov, 2019 )
Statistics report
Oct. 2020
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 14
Paper Published : 149
No. of Authors : 381
  Journal Paper

Paper Title
Speech Recognition using Multiscale Scattering of Audio Signals and Long Short-Term Memory of Neural Networks

Communication is the one of the key elements of interaction. Humans used different languages to communicate with one another whereas technology-based devices use their own language to process its‟ commands. In order to understand the audio language used by humans, machines use different techniques to convert speech to machine readable form called speech recognition. There have been several machine learning and deep learning techniques that are used to recognize audio signals. This paper takes one of the most classic examples of the speech recognition domain, the spoken digits recognition and talks about a technique called wavelet scattering to initially extract useful information from the signals. This information is further sent to a Long Short-Term Memory (LSTM) network to classify the signals. Keywords - Deep Learning, Long Short-Term Memory (LSTM), Multi-Scale Scattering, Neural Networks, Speech Recognition

Author - Haribharath Mahalingam, M.P. Rajakumar

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| Published on 2020-01-11
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