Publication2025
Exploring Speech Emotion Recognition in Tribal Language with Deep Learning Techniques
The record
- Type
- Publication
- Date
- 2 January 2025
- Level
- National
- Journal
- International Journal of Electrical and Computer Engineering Systems
- Volume
- 16
- Issue
- 1
- Pages
- 53-64
- Published
- 2 January 2025
- DOI
- 10.32985/ijeces.16.1.6
- Scopus ID
- 85214697243
- ISSN
- 18476996
- Authors
- 6
- Open access
- Yes
- Citations
- 2
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Speech emotion recognition using hybrid LSTM-CNN on low-resource KUI tribal language achieves 97% accuracy through novel data augmentation techniques.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
4 Ensure inclusive and equitable quality education and promote lifelong learning opportunities for all
Tribal language dataset creation and processing supports preservation and digital accessibility of indigenous language.
- Moderate confidence
- The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-3.2 Digital technology and artificial intelligence
Deep learning innovation for speech emotion recognition enabling human-computer interaction in tribal languages.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “Exploring Speech Emotion Recognition in Tribal Language with Deep Learning Techniques”. Kortex.
