Natural Devanagari Character Digit Audio Dataset - DEVA-AUDIO

This dataset presents a collection of human-recorded audio samples of Devanagari characters designed for speech processing and CAPTCHA-based security applications. The dataset consists of isolated character-level recordings, including vowels, consonants, and digits, spoken by multiple contributors under varied recording conditions. Unlike synthetic speech datasets, all recordings are natural, capturing real-world variations in pronunciation, pitch, and background noise. The dataset aims to support research in automatic speech recognition (ASR), human-computer interaction, and accessible CAPTCHA systems, particularly for Indian language users. With over 10,000 audio samples, this dataset provides a valuable resource for developing robust and inclusive speech-based systems.A Python-based processing pipeline is implemented for audio format conversion (M4A to MP3), pause-based segmentation, and systematic organization of audio samples. A total of 10,675 validated audio samples are generated, including 7,108 character samples and 3,567 digit samples.