# ENHANCING AUDIO SIGNAL SEGMENTATION FOR MUSICAL INSTRUMENTS WITH REFINED MFCC-BASED FEATURES
> Baharuddin M.S.I.F.

URL kanonis: https://discover.unhas.ac.id/publications/enhancing-audio-signal-segmentation-for-musical-instruments-with-refined-mfcc-ba
Jurnal / Konferensi: Iet Conference Proceedings
Tahun terbit: 2024
DOI: https://doi.org/10.1049/icp.2025.0300
ISSN: 27324494
Citations: 0

## Authors
- Baharuddin M.S.I.F.

## Abstract
Sourced directly from Elsevier Scopus. No OpenAlex abstract available.

## Keywords
- Mel-frequency cepstrum
- Segmentation
- Speech recognition
- Computer science
- Audio signal
- SIGNAL (programming language)
- Musical
- Pattern recognition (psychology)
- Artificial intelligence
- Feature extraction
- Speech coding
- Art
- Visual arts
- Programming language

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Sumber: Discover Unhas — RIMS Universitas Hasanuddin.
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