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Medical Engineering and Physics
Cardiovascular diseases (CVDs) are the leading global cause of death, which requires the early and accurate detection of cardiac abnormalities. Abnormal heart sounds, indicative of potential cardiac problems, pose a challenge due to their low-frequency ...
Mohammed Saddek Mekahlia +2 more
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Cardiovascular diseases (CVDs) are the leading global cause of death, which requires the early and accurate detection of cardiac abnormalities. Abnormal heart sounds, indicative of potential cardiac problems, pose a challenge due to their low-frequency ...
Mohammed Saddek Mekahlia +2 more
semanticscholar +1 more source
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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Spectrogram and Mel-Spectrogram Based Dysphonic Voice Detection Using Convolutional Neural Network
2024 International Conference on Electrical, Computer and Energy Technologies (ICECETA non-invasive pathological voice detection system has been presented in this paper. This work considers two spectral images of voice signals namely spectrogram and Mel-spectrogram to detect dysphonic voices.
R. Islam, Mohammed Tarique
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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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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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Transfer Learning in Heart Sound Classification using Mel spectrogram
Computing in Cardiology Conference (CinC), 2022Xin Li 0052 +2 more
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2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)
This paper provides an overview of our submission to Task 2 of the Auditory EEG Challenge at ICASSP 2024 Signal Processing Grand Challenge (SPGC). We introduce a novel approach, employing a cross-attention-guided WaveNet with a coarse-to-fine generation ...
Yuan Fang +4 more
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This paper provides an overview of our submission to Task 2 of the Auditory EEG Challenge at ICASSP 2024 Signal Processing Grand Challenge (SPGC). We introduce a novel approach, employing a cross-attention-guided WaveNet with a coarse-to-fine generation ...
Yuan Fang +4 more
semanticscholar +1 more source
Comparative Analysis of MFCC and Mel-Spectrogram Features in Pump Fault Detection Using Autoencoder
2024 2nd International Conference on Computer Graphics and Image Processing (CGIP)Pump maintenance plays a pivotal role in industrial operations, where timely detection of faults is key to avoiding costly downtimes. This research explores the influence of two audio feature extraction techniques, Mel-Frequency Cepstral Coefficients ...
Amin Shafiq Bin Saharom, Fumiaki Ehara
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LipSound: Neural Mel-Spectrogram Reconstruction for Lip Reading
Interspeech 2019, 2019Leyuan Qu +2 more
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