Adversarial Auto-Encoders for Speech Based Emotion Recognition
Adversarial Auto-Encoders for Speech Based Emotion Recognition
Recently, generative adversarial networks and adversarial autoencoders have gained a lot of attention in machine learning community due to their exceptional performance in tasks such as digit classification and face recognition.They map the autoencoder's bottleneck layer output (termed as code vectors) to different noise Probability Distribution Functions (PDFs), that can …