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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
semanticscholar +2 more sources
Cross-Attention-Guided WaveNet for EEG-to-MEL Spectrogram Reconstruction
Interspeech 2024This paper introduces an innovative approach that leverages a cross-attention-guided WaveNet combined with a coarse-to-fine granularity strategy to enhance the detailed reconstruction of Mel spectrograms from time-domain EEG signals.
Hao Li +4 more
semanticscholar +2 more sources
Feeding intensity assessment of aquaculture fish using Mel Spectrogram and deep learning algorithms
Aquacultural Engineering, 2023Meng Cui, Xianbao Xu, Chuanyu Sun
exaly +2 more sources
Heart Sound Classification Using Deep Learning Techniques Based on Log-mel Spectrogram
Circuits, Systems, and Signal Processing, 2022Minh Tuan Nguyen +2 more
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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
R. Sharan +2 more
semanticscholar +3 more sources
International Journal of Speech Technology
M. Telmem, N. Laaidi, Hassan Satori
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M. Telmem, N. Laaidi, Hassan Satori
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SSM2Mel: State Space Model to Reconstruct Mel Spectrogram from the EEG
IEEE International Conference on Acoustics, Speech, and Signal ProcessingDecoding speech from brain signals is a challenging research problem that holds significant importance for studying speech processing in the brain. Although breakthroughs have been made in reconstructing the mel spectrograms of audio stimuli perceived by
Cunhang Fan +4 more
semanticscholar +1 more source
Musical Genre Classification Using Mel-Spectrograms and Mel-Scalograms
Anais do XVII Congresso Brasileiro de Inteligência ComputacionalMusical genre is a category that groups songs with similar characteristics in terms of style, form, instrumentation, rhythm, harmony, lyrics, or cultural function. The task of Musical Genre Classification is extensively studied in the field of Music Information Retrieval (MIR), and several deep learning techniques have been explored to address it.
Luiz Alberto Viana +3 more
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