scholarly journals Spoken Indian language identification: a review of features and databases

Sadhana ◽  
2018 ◽  
Vol 43 (4) ◽  
Author(s):  
BAKSHI AARTI ◽  
SUNIL KUMAR KOPPARAPU
Keyword(s):  
Language Identification ◽  
Indian Language

scholarly journals Indian Language Identification using Deep Learning

2020 ◽  
Vol 32 ◽  
pp. 01010
Author(s):  
Shubham Godbole ◽  
Vaishnavi Jadhav ◽  
Gajanan Birajdar
Keyword(s):  
Feature Extraction ◽  
Deep Learning ◽  
Classification Accuracy ◽  
Visual Representations ◽  
Spoken Language ◽  
Language Identification ◽  
Indian Language ◽  
Regular Method ◽  
Speech Database ◽  
Day By Day

Spoken language is the most regular method of correspondence in this day and age. Endeavours to create language recognizable proof frameworks for Indian dialects have been very restricted because of the issue of speaker accessibility and language readability. However, the necessity of SLID is expanding for common and safeguard applications day by day. Feature extraction is a basic and important procedure performed in LID. A sound example is changed over into a spectrogram visual portrayal which describes a range of frequencies in regard with time. Three such spectrogram visuals were generated namely Log Spectrogram, Gammatonegram and IIR-CQT Spectrogram for audio samples from the standardized IIIT-H Indic Speech Database. These visual representations depict language specific details and the nature of each language. These spectrograms images were then used as an input to the CNN. Classification accuracy of 98.86% was obtained using the proposed methodology.

scholarly journals Significance of GMM-UBM based Modelling for Indian Language Identification

2015 ◽  
Vol 54 ◽  
pp. 231-236 ◽  
Author(s):  
V. Ravi Kumar ◽  
Hari Krishna Vydana ◽  
Anil Kumar Vuppala
Keyword(s):  
Language Identification ◽  
Indian Language
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