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EFFICIENT AUDIO SOURCE SEPARATION USING MEL-SPECTROGRAMS
2020Audio source separation deals with extracting a source of audio from a mixture, for example vocals from a musical recording. Recent strides have been made in the release of the Open-Unmix GitHub project in September of 2019 to provide new researchers with a framework to hit the ground running with state-of-the-art techniques. The base architecture uses
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Audio Forgery Detection Method with Mel Spectrogram
2023 16th International Conference on Information Security and Cryptology (ISCTürkiye), 2023Hatice Kübra Güç +3 more
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Forge Audio Detection Using Keypoint Features on Mel Spectrograms
2022 45th International Conference on Telecommunications and Signal Processing (TSP), 2022Güzin Ulutas +2 more
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Mel Spectrogram-Based CNN Framework for Explainable Audio Deepfake Detection
The rise of audio deepfakes is becoming a growing concern for media credibility, particularly on social platforms. This study explores an approach to detecting audio deepfakes using Convolutional Neural Networks (CNNs) applied to Mel spectrograms, which serve as visual representations of audio signals.Bajwa M. Z., Castiglione A., Pero C.
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Emotion Recognition from Speech Signals by Mel-Spectrogram and a CNN-RNN
2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)Speech emotion recognition (SER) in health applications can offer several benefits by providing insights into the emotional well-being of individuals. In this work, we propose a method for SER using time-frequency representation of the speech signals and neural networks.
Roneel V. Sharan +2 more
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Age Classification Based on Voice Using Mel-Spectrogram and MFCC
2023 24th International Conference on Digital Signal Processing (DSP), 2023Tariq Al-Maashani +2 more
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Acoustic scene classification based on Mel spectrogram decomposition and model merging
Applied Acoustics, 2021Jinhua Liang
exaly
LipSound: Neural Mel-Spectrogram Reconstruction for Lip Reading
Interspeech 2019, 2019Leyuan Qu +2 more
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Transfer Learning in Heart Sound Classification using Mel spectrogram
Computing in Cardiology Conference (CinC), 2022Xin Li 0052 +2 more
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