Volume : VII, Issue : IX, September - 2018

Speech recognition using Convolution Neural Network

Maisnam Niranjan Singh, Y. S Kumaraswamy

Abstract :

Speech is a vital form of communication among humans and thus understanding speech in the context of communication results in  directly influencing our actions. Researchers all around the world have been trying to teach machines how to recognize speech. Speech understanding and recognition by machines even though is a challenging proposition but nevertheless researchers have been successful in applying machine learning algorithms to  speech recognition which is commendable. With  the advent of deep learning researchers have further enhanced the state of the art of speech recognition. With more computation speed and GPU , it has become possible to train large datasets even in PC and Laptops.

In this paper we adopt a deep learning approach to teach machine how to convert speech into text. The main objective of this paper is to apply deep learning techniques to speech data and convert into textual form using Convolution neural network . It has always been believed in the deep learning community that CNN is good only with classifying images. But recent trends have suggests that CNN are applied to NLP , Speech and other domains for better results and have shown that it indeed works .

Keywords :

Article: Download PDF   DOI : 10.36106/ijsr  

Cite This Article:

Maisnam Niranjan Singh, Y.S Kumaraswamy, Speech recognition using Convolution Neural Network, INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH : Volume-7 | Issue-9 | September-2018

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