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Modeling Feature Representations for Affective Speech using Generative
  Adversarial Networks

Modeling Feature Representations for Affective Speech using Generative Adversarial Networks

31 October 2019
Saurabh Sahu
Rahul Gupta
C. Espy-Wilson
    GAN
ArXivPDFHTML

Papers citing "Modeling Feature Representations for Affective Speech using Generative Adversarial Networks"

4 / 4 papers shown
Title
Modelling and simulating spatial extremes by combining extreme value
  theory with generative adversarial networks
Modelling and simulating spatial extremes by combining extreme value theory with generative adversarial networks
Younes Boulaguiem
Jakob Zscheischler
Edoardo Vignotto
K. Wiel
Sebastian Engelke
18
3
0
30 Oct 2021
Spoken Language Interaction with Robots: Research Issues and
  Recommendations, Report from the NSF Future Directions Workshop
Spoken Language Interaction with Robots: Research Issues and Recommendations, Report from the NSF Future Directions Workshop
M. Marge
C. Espy-Wilson
Roger K. Moore
26
78
0
11 Nov 2020
Multi-Window Data Augmentation Approach for Speech Emotion Recognition
Multi-Window Data Augmentation Approach for Speech Emotion Recognition
Sarala Padi
Tianyi Zhou
Ram D.Sriram
35
10
0
19 Oct 2020
Deep Representation Learning in Speech Processing: Challenges, Recent
  Advances, and Future Trends
Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends
S. Latif
R. Rana
Sara Khalifa
Raja Jurdak
Junaid Qadir
Björn W. Schuller
AI4TS
32
81
0
02 Jan 2020
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