"Kannada Noisy Dataset"

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Authors: Arushi Vaidya, Aryan Gupta, Rajashree Shettar, Deepamala N, Astitwa Tanmay, Noel Mathew, Akhshata N, Adithi C Iyer, Navya Madiraju, Adhya S Niranjan
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Abstract

"This dataset contains noisy Kannada language transcriptions with corresponding unique identifiers, compiled from crowd-sourced speech data. The collection methodology incorporates:Source Material: Crowd-sourced audio recordings with added sea noiseAudio Enhancement: Data combined with environmental noise effects (via bandlab.com) and sea ambient sounds (from freesound.com) to simulate realistic acoustic conditionsContent: Diverse Kannada text covering multiple domains including:Scientific and technical topics (power-to-weight ratios, oxygen deficiency, nitrate chemistry)Historical and cultural references (philosophers, historical figures)General knowledge (geography, demographics, materials science)Literary and philosophical contentFormat: Tab-separated TXT file with ID-text pairsLanguage: Kannada (Indic script)Purpose: Intended for training speech recognition, text-to-speech, or machine translation systems for KannadaScale: 30+ recorded samples represented in the dataset"

Fields of Study & Subjects

Speech Recognition and Synthesis Speech and Audio Processing Phonetics and Phonology Research

Publication details

Journal / source
IEEE DataPort
Publication date
12 March 2026
Language
EN
Document type
Dataset