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DeepEMO: Deep Learning for Speech Emotion Recognition

arXiv 2109.04081 ↗First posted 9 Sep 2021cs.SD cs.LG eess.AScited by 0

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Abstract (arXiv)

We proposed the industry level deep learning approach for speech emotion recognition task. In industry, carefully proposed deep transfer learning technology shows real results due to mostly low amount of training data availability, machine training cost, and specialized learning on dedicated AI tasks. The proposed speech recognition framework, called DeepEMO, consists of two main pipelines such that preprocessing to extract efficient main features and deep transfer learning model to train and recognize. Main source code is in https://github.com/enkhtogtokh/deepemo repository

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References · 3

  1. 2015Deep Residual Learning for Image Recognitioncited by 52,096
  2. 2019PyTorch: An Imperative Style, High-Performance Deep Learning Librarycited by 20,305
  3. 2018Deep Learning Approach for Very Similar Objects Recognition Application on Chihuahua and Muffin Problemcited by 1

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