An overview of Indian spoken language recognition from machine learning perspective

S Dey, M Sahidullah, G Saha - ACM Transactions on Asian and Low …, 2022 - dl.acm.org
Automatic spoken language identification (LID) is a very important research field in the era of
multilingual voice-command-based human-computer interaction. A front-end LID module …

A language identification system using hybrid features and back-propagation neural network

D Deshwal, P Sangwan, D Kumar - Applied Acoustics, 2020 - Elsevier
Abstract Language Identification (LID) is accurate identification of the unknown language by
comparison of speech biometrics of test speech sample and language models accumulated …

Development of novel automated language classification model using pyramid pattern technique with speech signals

E Akbal, PD Barua, T Tuncer, S Dogan… - Neural Computing and …, 2022 - Springer
Abstract Language classification using speeches is a complex issue in machine learning
and pattern recognition. Various text and image-based language classification methods …

Multilingual speech corpus in low-resource eastern and northeastern Indian languages for speaker and language identification

J Basu, S Khan, R Roy, TK Basu… - Circuits, Systems, and …, 2021 - Springer
Research and development of speech technology applications in low-resource languages
(LRL) are challenging due to the non-availability of proper speech corpus. Especially, for …

Performance of a language identification system using hybrid features and ANN learning algorithms

P Sangwan, D Deshwal, N Dahiya - Applied Acoustics, 2021 - Elsevier
This paper discusses the use of hybrid features and artificial neural network (ANN) for
spoken language identification (LID). At the feature extraction stage, we have used RASTA …

[PDF][PDF] NepBERTa: Nepali language model trained in a large corpus

S Timilsina, M Gautam, B Bhattarai - … of the 2nd conference of the …, 2022 - aura.abdn.ac.uk
Nepali is a low-resource language with more than 40 million speakers worldwide. It is
written in Devnagari script and has rich semantics and complex grammatical structure. To …

Identification of two tribal languages of India: An experimental study

J Basu, TR Hrangkhawl, TK Basu… - Artificial Intelligence …, 2021 - taylorfrancis.com
In the Indian scenario, the inadequacy of digitally available resources of language restricts
the expansion of speech technology applications. This paper describes an experimental …

Performance evaluation of language identification on emotional speech corpus of three Indian languages

J Basu, S Majumder - Intelligence Enabled Research: DoSIER 2020, 2020 - Springer
This paper describes the performance evaluation of spoken language identification (SLID)
from emotional speech data of three Indian languages, namely Assamese (AS), Bengali …

[引用][C] Artificial Intelligence and Speech Technology: Proceedings of the 2nd International Conference on Artificial Intelligence and Speech Technology,(AIST2020), 19 …

A Dev, A Sharma, SS Agarwal - 2021 - CRC Press