Kannada SER: Real-Time Speech Emotion Recognition Using Fine-Tuned Wav2Vec2

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{202665,
        author = {Sahana S Gudennavar and Varshini M R and Parikshith S and Pavana S},
        title = {Kannada SER: Real-Time Speech Emotion Recognition Using Fine-Tuned Wav2Vec2},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {8986-8993},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=202665},
        abstract = {},
        keywords = {Kannada SER; Wav2Vec2; Self-Supervised Learning; Affective Computing; Low-Resource Language; Flask; React; MFCC; pYIN; Dual-Model Inference.},
        month = {May},
        }

Cite This Article

Gudennavar, S. S., & R, V. M., & S, P., & S, P. (2026). Kannada SER: Real-Time Speech Emotion Recognition Using Fine-Tuned Wav2Vec2. International Journal of Innovative Research in Technology (IJIRT), 12(12), 8986–8993.

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