MFCC Speech Feature Extraction Python Code

Hybrid Feature Extraction and Deep Learning Framework for Power Transformer Fault Classification: A Real-World Case Study

Abstract: Reliable fault diagnosis in power transformers is paramount for ensuring grid stability and safeguarding critical assets. This paper proposes a novel deep learning-based diagnostic framework ...

IEEE

Comparative Analysis of Wav2Vec2 and MFCC Feature Extraction Methods for Arabic Letter Pronunciation (Iqra’) Classification Using the Bagging Algorithm

Abstract: The Bagging method suffers from suboptimal accuracy due to limitations in feature extraction and complex variations in audio data. Although Bagging is known to reduce overfitting and improve ...

Frontiers

A transparent four-feature speech model for depression screening applicable across clinical and community settings, including assisted-living environments

1 Complex Systems Monitoring, Modeling and Control Laboratory, Pennsylvania State University, University Park, PA, United States 2 Center for Human Systems Engineering, University of Louisville, ...

GitHub

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Hybrid Feature Extraction and Deep Learning Framework for Power Transformer Fault Classification: A Real-World Case Study

Comparative Analysis of Wav2Vec2 and MFCC Feature Extraction Methods for Arabic Letter Pronunciation (Iqra’) Classification Using the Bagging Algorithm

A transparent four-feature speech model for depression screening applicable across clinical and community settings, including assisted-living environments

A Python library for Kokoro TTS (Text-to-Speech) using ONNX runtime.

Code Vein II’s Tragic Approach To A Soulslike Is Effective, Even If You Missed The First Game

40 Years Ago, This Code Made Gaming History