A Deep Dive Into Deep Learning Techniques for Solving Spoken Language Identification Problems
Himanish Shekhar Das; Pinki Roy Department of Computer Science and Engineering, National Institute of Technology Silchar, Silchar, India
Abstract
Automatic language identification has always been a challenging issue and an important research area in speech signal processing. It is the process of identifying a language from a random spoken utterance. This era is dominated by artificial intelligence and specifically, deep learning techniques. Prominent among the deep learning techniques are feed-forward deep neural network, convolutional neural network, long short term memory-recurrent neural network, etc. The various types of deep neural ...
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