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Mel spectrogram
Description:
A time-frequency representation of audio that maps spectral energy onto the mel scale, used in audio analysis and classification.
Primary topic:
Music and Audio Processing (30%)
Related topics:
Music and Audio Processing (30%),
Speech Recognition and Synthesis (17%),
Emotion and Mood Recognition (13%),
Phonocardiography and Auscultation Techniques (10%)
OpenAlex ID:
keywords/mel-spectrogram
3-D Convolutional Recurrent Neural Networks With Attention Model for Speech Emotion Recognition
2018
·
Mingyi Chen
, Xuanji He
, et al.
·
IEEE Signal Processing Letters
·
503
Emotion recognition using deep learning approach from audio–visual emotional big data
2018
·
M. Shamim Hossain
, Ghulam Muhammad
·
Information Fusion
·
453
Deep Neural Network for Respiratory Sound Classification in Wearable Devices Enabled by Patient Specific Model Tuning
2020
·
Jyotibdha Acharya
, Arindam Basu
·
IEEE Transactions on Biomedical Circuits and Systems
·
240
PDF
Automatic tagging using deep convolutional neural networks
2016
·
Choi, Keunwoo
, Fazekas, George
, et al.
·
arXiv (Cornell University)
·
226
PDF
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
2023
·
204
A study of time-frequency features for CNN-based automatic heart sound classification for pathology detection
2018
·
Baris Bozkurt
, Ioannis Germanakis
, et al.
·
Computers in Biology and Medicine
·
203
Deep learning based respiratory sound analysis for detection of chronic obstructive pulmonary disease
2021
·
Arpan Srivastava
, Sonakshi Jain
, et al.
·
PeerJ Computer Science
·
198
Multi-Band Melgan: Faster Waveform Generation For High-Quality Text-To-Speech
2021
·
Geng Yang
, Shan Yang
, et al.
·
IEEE Spoken Language Technology Workshop (SLT)
·
197
Spectral images based environmental sound classification using CNN with meaningful data augmentation
2020
·
Zohaib Mushtaq
, Shun-Feng Su
, et al.
·
Applied Acoustics
·
188
Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition
2020
·
Yang, Chao-Han Huck
, Qi, Jun
, et al.
·
arXiv (Cornell University)
·
179
PDF
Environmental sound classification using a regularized deep convolutional neural network with data augmentation
2020
·
Zohaib Mushtaq
, Shun-Feng Su
·
Applied Acoustics
·
177
Speech Emotion Recognition with Dual-Sequence LSTM Architecture
2020
·
Jianyou Wang
, Michael Xue
, et al.
·
IEEE International Conference on Acoustics Speech and Signal Processing
·
162
PDF
Audio-visual emotion fusion (AVEF): A deep efficient weighted approach
2018
·
Yaxiong Ma
, Yixue Hao
, et al.
·
Information Fusion
·
155
Speech emotion recognition using fusion of three multi-task learning-based classifiers: HSF-DNN, MS-CNN and LLD-RNN
2020
·
Zengwei Yao
, Zihao Wang
, et al.
·
Speech Communication
·
152
PDF
Investigation of Different CNN-Based Models for Improved Bird Sound Classification
2019
·
Jie Xie
, Kai Hu
, et al.
·
IEEE Access
·
142
PDF
End-to-end deep learning approach for Parkinson’s disease detection from speech signals
2022
·
Changqin Quan
, Kang Ren
, et al.
·
Journal of Applied Biomedicine
·
135
A Deep Learning Framework for Audio Deepfake Detection
2021
·
Janavi Khochare
, Chaitali Joshi
, et al.
·
Arabian Journal for Science and Engineering
·
130
Two-Way Feature Extraction for Speech Emotion Recognition Using Deep Learning
2022
·
Apeksha Aggarwal
, Akshat Srivastava
, et al.
·
Sensors
·
117
PDF
Music instrument recognition using deep convolutional neural networks
2019
·
Arun Solanki
, Sachin Pandey
·
International Journal of Information Technology
·
117
Parkinson’s detection based on combined CNN and LSTM using enhanced speech signals with Variational mode decomposition
2021
·
Mehmet Bilal Er
, Esme Isik
, et al.
·
Biomedical Signal Processing and Control
·
114
PDF
Two convolutional neural networks for bird detection in audio signals
2017
·
Thomas Grill
, Jan Schluter
·
European Signal Processing Conference (EUSIPCO)
·
107
Deep Learning Techniques for Speech Emotion Recognition: A Review
2019
·
Sandeep Kumar Pandey
, H. S. Shekhawat
, et al.
·
International Conference Radioelektronika
·
106
Improving word accuracy with Gabor feature extraction
2002
·
Michael Kleinschmidt
, David Gelbart
·
International Conference on Spoken Language Processing (ICSLP)
·
103
Drill Fault Diagnosis Based on the Scalogram and Mel Spectrogram of Sound Signals Using Artificial Intelligence
2020
·
Thanh Tran
, Jan Lundgren
·
IEEE Access
·
95
PDF
Multi-channel spectrograms for speech processing applications using deep learning methods
2020
·
T. Arias-Vergara
, P. Klumpp
, et al.
·
Pattern Analysis and Applications
·
94
PDF
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Works count:
2,766
Citation count:
18,160
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