Article

Speech Emotion Recognition using Data Augmentation Method by Cycle-Generative Adversarial Networks

2021-04-26

Abstract excerpt

Nowadays, and with the mechanization of life, speech processing has become so crucial for the interaction between humans and machines. Deep neural networks require a database with enough data for training. The more features are extracted from the speech signal, the more samples are needed to train these networks. Adequate training of these networks can be ensured when there is access to sufficient and varied data...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 154c9c1f-48e3-5adf-9a4a-97ce0a6ed5be
DOI: 10.20944/preprints202104.0651.v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Speech Emotion Recognition using Data Augmentation Method by Cycle-Generative Adversarial NetworksDOI 10.20944/preprints202104.0651.v1Read

Cycle-consistent Generative Adversarial Networks (CycleGANs) for the Non-Parallel Creation of Fake Voice MediaSemantic proximity Read

Application of Speech Recognition Technology Based on Channel Adversarial Training in the Field of Speech Recognition SystemSemantic proximity Read

Fake Voice Detection: A Comparative Analysis of Complex-Valued Deep Learning and Transformer Models across Multiple LanguagesSemantic proximity Read

Expressive Speech Synthesis by Modeling Prosody with Variational Autoencoders for Bangla Text-to-SpeechSemantic proximity Read

GANFIS: The Ensemble model for Affective ClassificationSemantic proximity Read

Optimally Configured Generative Adversarial Networks to Distinguish Real and AI- Generated Human FacesSemantic proximity Read

Deepfake audio detection and justication with Explainable Articial IntelligenceSemantic proximity Read

Speech-driven Facial Animations Improve Speech-in-Noise Comprehension of HumansSemantic proximity Read

CiwGAN and fiwGAN: Encoding information in acoustic data to model lexical learning with Generative Adversarial NetworksSemantic proximity Read

IterVocoder: Fast High-Fidelity Speech Synthesis via GAN-Guided Iterative RefinementSemantic proximity Read

Generating and Detecting Autistic Facial Expression Patterns Using Generative AI and Deep LearningSemantic proximity Read

Introduction to Diffusion Models, Autoencoders and Transformers: Review of Current AdvancementsSemantic proximity Read