Archana Priyadarshini

@ajiet.edu.in

Asst. professor,Faculty in the Dept. of ISE and part time research scholar at NMAMIT
A.J Institute of technology,mangalore

Archana Priyadarshini


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https://researchid.co/archanarao

EDUCATION

M.tech at NMAM Institute of Technology,Nitte,Karkala

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Science Applications, Artificial Intelligence, Signal Processing, Music
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Scopus Publications

Scopus Publications

  • “RaagaDhvani: A novel augmented multi-feature dataset: Advancing emotion recognition in Carnatic music with multimodal features and hybrid deep learning”
    Mrs. Archana Priyadarshini, Dr. Usha Divakarla
    Data in Brief, 2026
    dataset has been created, focusing on culturally significant, emotion-driven vocal and flute renditions of eleven carefully selected Carnatic ragas, which are chosen for their psychological and affective associations. The dataset comprises 11 classical ragas, each recorded for approximately 5 min in high-quality audio. This approach preserves essential musical features, including gamakas, phrase structures, and tonal motifs, while generating sufficient training samples for deep learning models. The 448 ragas dataset is further enhanced with data augmentation, including pitch shifting, time-stretching, and noise addition. Later, to increase the validity and quality of Carnatic music, self self-curated dataset of 165 files are augmented with pitch shift and time stretch, resulting in 825 files to increase variability and improve model generalization. This dataset establishes a strong foundation for computational analysis of Carnatic music, supporting tasks like raga classification, emotion recognition, and multimodal retrieval. By integrating audio features with emotion annotations, it advances deep learning-based emotion prediction and fosters applications in psychology and music therapy.