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Generative Adversarial Network and its Applications on Speech Signal and Natural Language Processing

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Category
Tutorial
Proficiency
Intermediate
Language
English
Media Type
Video
EDICs
MLR-APPL
MLR-DEEP
MLR-PRCL
MLR-REI
MLR-SLER
MLR-TRL
SSP-APPL
HLT-MTSW
SPE-ANLS
SPE-SYNT
SPE-ENHA
Intended Audience
Researchers
Graduate students
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Non-members $15.00

Keywords
Generative adversarial networks (GANs)
Natural language processing (NLP)
Reinforcement learning
Speech recognition
Adversarial training
Conditional GAN
Cycle GAN
Domain adversarial training
Unsupervised Conditional Generation
Inverse reinforcement learning
Speech signal generation
Speech enhacement
Speech recognition
Acoustic feature transformation
Speech synthesis
Voice conversion
Emotion recognition
Conditional sequence generation
Unsupervised abstractive summarization
Text style transfer
Semi-supervised learning
Unsupervised machine translation
Authors
Hung-yi Lee; Yu Tsao
Date
DOI
https://dx.doi.org/10.17023/asce-w056
Duration
2:59:22
Subtitles
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