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Chapter and Conference Paper
Comparative Analysis of Decision Tree and k-NN to Solve WSD Problem in Kashmiri
A word is treated as ‘ambiguous’ if it has more than one interpretation. Deciphering the meaning of an ambiguous word as per its context is known as word sense disambiguation (WSD). WSD, an open problem in nat...
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Chapter and Conference Paper
Advances Toward Word-Sense Disambiguation
The process of assigning the correct meaning to a word with respect to its context is known as Word-Sense Disambiguation (WSD). It is a hard problem in natural language processing. In this paper, we discuss va...
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Chapter and Conference Paper
Toward Develo** Attention-Based End-To-End Automatic Speech Recognition
In recent decades, significant research has been conducted in the field of Automatic Speech Recognition (ASR). Machine learning in the field of Natural Language Processing (NLP) is an innovative area of resear...
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Article
End-to-end ASR framework for Indian-English accent: using speech CNN-based segmentation
The superiority of Automatic Speech Recognition (ASR) has significantly enhanced over time, with a focus from short utterance circumstances to longer audio signal. In short utterances, speech endpoints are dis...
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Article
CNN-based speech segments endpoints detection framework using short-time signal energy features
The quality of Speech Recognition systems has improved, with a shift focus from short utterance scenarios like Voice Assistants and Voice Search to extended utterance circumstances such as voice inputting and ...
