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 …

FuzzyGCP: A deep learning architecture for automatic spoken language identification from speech signals

A Garain, PK Singh, R Sarkar - Expert Systems with Applications, 2021 - Elsevier
In this modern era, language has no geographic boundary. Therefore, for developing an
automated system for search engines using audio, tele-medicine, emergency service via …

A CNN-BiLSTM based hybrid model for Indian language identification

HS Das, P Roy - Applied Acoustics, 2021 - Elsevier
Automatic language identification (LID) is the practice of detecting the language through
linguistic content of speech spoken by certain anonymous speaker. In multi-lingual based …

Indian language identification using time-frequency image textural descriptors and GWO-based feature selection

AA Chowdhury, VS Borkar… - Journal of Experimental & …, 2020 - Taylor & Francis
An ability to categorise and recognise a spoken language is an essential task in a multi-
lingual society like India. Language identification (LID) is the process of identifying the …

Indian language identification using time-frequency texture features and kernel ELM

GK Birajdar, S Raveendran - Journal of Ambient Intelligence and …, 2023 - Springer
Precise identification of the language from speech utterance is a prime task of a language
identification system and has been extensively utilized in multilanguage speech …

Multiclass spoken language identification for Indian Languages using deep learning

LR Arla, S Bonthu, A Dayal - 2020 IEEE Bombay Section …, 2020 - ieeexplore.ieee.org
Spoken Language Identification (SLID) aims at assigning language labels to speech in an
audio file. This paper proposes an approach based on Convolution Neural Networks (CNN) …

Syllable based Hindi speech recognition

S Bhatt, A Jain, A Dev - Journal of Information and Optimization …, 2020 - Taylor & Francis
In this paper, one of the acoustic units of speech, the syllable, is used for the development of
a continuous Hindi speech recognition system. The syllable is a larger acoustic unit that …

[PDF][PDF] Nitk kids' speech corpus

PB Ramteke, S Supanekar, P Hegde, H Nelson… - emotion, 2019 - researchgate.net
This paper introduces speech database for analyzing children's speech. The proposed
database of children is recorded in Kannada language (one of the South Indian languages) …

Separation of speech & music using temporal-spectral features and neural classifiers

O Sawant, A Bhowmick, G Bhagwat - Evolutionary Intelligence, 2024 - Springer
Separation of speech and music plays a vital role in multiple fields related to audio and
speech processing. The spectrograms of speech and music show distinct patterns. This …

BERIS: An mBERT-based Emotion Recognition Algorithm from Indian Speech

P Mehra, SK Verma - Transactions on Asian and Low-Resource …, 2022 - dl.acm.org
Emotions, the building blocks of the human intellect, play a vital role in Artificial Intelligence
(AI). For a robust AI-based machine, it is important that the machine understands human …