Publication2022
Analysis on Speech-Emotion Recognition with Effective Feature Combination
The record
- Type
- Publication
- Date
- 1 January 2022
- Level
- National
- Journal
- Proceedings 2022 Oits International Conference on Information Technology Ocit 2022
- Pages
- 38-42
- Published
- 1 January 2022
- DOI
- 10.1109/ocit56763.2022.00018
- Scopus ID
- 85150229882
- Authors
- 3
- Open access
- No
- 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
Machine learning research on speech-emotion recognition using MFCC features and neural networks represents core research innovation in AI methodology and signal processing capacity.
- 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
Viksit Bharat @2047
vb-3.2 Digital technology and artificial intelligence
Application of artificial intelligence to emotion detection from speech demonstrates advancement in digital technology innovation capability.
- 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. “Analysis on Speech-Emotion Recognition with Effective Feature Combination”. Kortex.