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Speech recognition using neural networks phd thesis 1995

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Added: 02.05.2021
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Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly. DOI: Bhushan , Kamble Published -Speech is the most efficient mode of communication between peoples. This, being the best way of communication, could also be a useful interface to communicate with machines. Therefore the popularity of automatic speech recognition system has been greatly increased.
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Speech Recognition using Neural Networks – IJERT

To browse Academia. Skip to main content. Log In Sign Up. Download Free PDF. Download PDF. A short summary of this paper.
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Speech Recognition using Neural Networks

By Hinton, Krizhevsky and Sutskever. It was the climax of deep learning ascent. Navdeep Jaitly works on Google's speech recognition system. It pushed Android's speech recognition algorithm.
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AbstractSpeech is the most common way for humans to interact. Since it is the most effective method for communication, it can be also extended further to interact with the system. As a result, it has become extremely popular in no time. The speech recognition allows system to interact and process the data provided verbally by the user. Ever since the user can interact with the help of voice the user is not confined to the alphanumeric keys.
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