IEEE

Speech Emotion Recognition From 3D Log-Mel Spectrograms With Deep Learning Network

Abstract: Speech emotion recognition is a vital and challenging task that the feature extraction plays a significant role in the SER performance. With the development of deep learning, we put our eyes ...
IEEE

Learning Temporal Relations from Semantic Neighbors for Acoustic Scene Classification

Abstract: Convolutional networks have achieved the state-of-the-art performance on Acoustic Scene Classification (ASC). Given the Log Mel-Spectrogram of an audio sample, the network can extract useful ...
GitHub

lipiyourbuddy/cough-classifier-deeplearning-multiclass-model

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...
GitHub

Deep Learning for Audio Part 1 - Audio Processing.ipynb

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...
Frontiers

A Deep Learning Approach for Acoustic-based Identification of Muscle Tension Dysphonia and ...

Voice audio was processed into Log-Mel spectrograms. Pre-trained convolutional neural networks (CNNs), including VGG16, ResNet50, and DenseNet161, were employed for transfer learning to perform both ...