Normal view MARC view ISBD view

Spoken language identification : a case study of indo aryan and dravidian language family by Anirban Ghosh , Amal Kuniyil Parambath ; Arpita Bhattacharjee

By:

Contributor(s):

Material type: Map

MapLanguage: English Publication details: 2023 Silchar NITDescription: xix,31pSubject(s):

DDC classification:

Dissertation note: National Institute of Technology, Silchar Bachelor of Technology 2023

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Call number	Status	Date due	Barcode
Dissertation	National Institute of Technology, Silchar Central Library@NITS	005 GHO (Browse shelf(Opens below))	Available		D1933

Previous	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	Next
Previous	005 DUS A deep learning based mobile application for diabetic foot ulcer classification	005 DUT Multilingual news article similarity based on BERT and RoBERTa	005 GED Empirical study on computational sarcasm detection in English and Telugu textual data	005 GHO Spoken language identification : a case study of indo aryan and dravidian language family	005 GOG Handwritten Assamese character recognition using convolutional neural networks	005 GUP Single phase power factor correction using interleaved boost converter	005 GUP Design and development of a reward-based framework for sustainable waste management in smart cities using blockchain, deep learning and IoT	Next

Guided by Singh, Thoudam Doren

National Institute of Technology, Silchar Bachelor of Technology 2023

There are no comments on this title.

to post a comment.