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Findings of the VarDial evaluation campaign 2023
This report presents the results of the shared tasks organized as part of the VarDial
Evaluation Campaign 2023. The campaign is part of the tenth workshop on Natural …
Evaluation Campaign 2023. The campaign is part of the tenth workshop on Natural …
A Compact End-to-End Model with Local and Global Context for Spoken Language Identification
We introduce TitaNet-LID, a compact end-to-end neural network for Spoken Language
Identification (LID) that is based on the ContextNet architecture. TitaNet-LID employs 1D …
Identification (LID) that is based on the ContextNet architecture. TitaNet-LID employs 1D …
Efficiency-oriented approaches for self-supervised speech representation learning
Self-supervised learning enables the training of large neural models without the need for
large, labeled datasets. It has been generating breakthroughs in several fields, including …
large, labeled datasets. It has been generating breakthroughs in several fields, including …
LIFA: Language identification from audio with LPCC-G features
H Mukherjee, A Dhar, SM Obaidullah… - Multimedia Tools and …, 2024 - Springer
In Western countries, speech recognition-based technologies have significantly developed
compared to the countries of the South Asian subcontinent like India. India is a multilingual …
compared to the countries of the South Asian subcontinent like India. India is a multilingual …
Exploring rhythm formant analysis for Indic language classification
This paper reports a preliminary study on quantitative frequency domain rhythm cues for
classifying five Indian languages: Bengali, Kannada, Malayalam, Marathi, and Tamil. We …
classifying five Indian languages: Bengali, Kannada, Malayalam, Marathi, and Tamil. We …
CA-SSLR: Condition-aware self-supervised learning representation for generalized speech processing
Abstract We introduce Condition-Aware Self-Supervised Learning Representation (CA-
SSLR), a generalist conditioning model broadly applicable to various speech-processing …
SSLR), a generalist conditioning model broadly applicable to various speech-processing …