An overview of Indian spoken language recognition from machine learning perspective
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 …
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
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 …
automated system for search engines using audio, tele-medicine, emergency service via …
A CNN-BiLSTM based hybrid model for Indian language identification
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 …
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 …
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 …
identification system and has been extensively utilized in multilanguage speech …
Multiclass spoken language identification for Indian Languages using deep learning
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) …
audio file. This paper proposes an approach based on Convolution Neural Networks (CNN) …
Syllable based Hindi speech recognition
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 …
a continuous Hindi speech recognition system. The syllable is a larger acoustic unit that …
[PDF][PDF] Nitk kids' speech corpus
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) …
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 …
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 …
(AI). For a robust AI-based machine, it is important that the machine understands human …