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Generative Models

6,381 papers

Papers per year

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Papers

Utility-Preserving Privacy-Enabled Speech Embeddings for Emotion Detection INTERSPEECH 2023
Large-Scale Automatic Audiobook Creation INTERSPEECH 2023
Asking Questions: an Innovative Way to Interact with Oral History Archives INTERSPEECH 2023
Contrastive Learning based Deep Latent Masking for Music Source Separation INTERSPEECH 2023
A Neural State-Space Modeling Approach to Efficient Speech Separation INTERSPEECH 2023
Gesper: A Restoration-Enhancement Framework for General Speech Reconstruction INTERSPEECH 2023
HumanDiffusion: diffusion model using perceptual gradients INTERSPEECH 2023
OverFlow: Putting flows on top of neural transducers for better TTS INTERSPEECH 2023
Interpretable Style Transfer for Text-to-Speech with ControlVAE and Diffusion Bridge INTERSPEECH 2023
Controlling Multi-Class Human Vocalization Generation via a Simple Segment-based Labeling Scheme INTERSPEECH 2023
Speech inpainting: Context-based speech synthesis guided by video INTERSPEECH 2023
Data augmentation for children ASR and child-adult speaker classification using voice conversion methods INTERSPEECH 2023
Stochastic Pitch Prediction Improves the Diversity and Naturalness of Speech in Glow-TTS INTERSPEECH 2023
Mandarin Electrolaryngeal Speech Voice Conversion using Cross-domain Features INTERSPEECH 2023
mdctGAN: Taming transformer-based GAN for speech super-resolution with Modified DCT spectra INTERSPEECH 2023
A GAN Speech Inpainting Model for Audio Editing Software INTERSPEECH 2023
Deep Speech Synthesis from MRI-Based Articulatory Representations INTERSPEECH 2023
A Multi-Scale Attentive Transformer for Multi-Instrument Symbolic Music Generation INTERSPEECH 2023
Xiaoicesing 2: A High-Fidelity Singing Voice Synthesizer Based on Generative Adversarial Network INTERSPEECH 2023
Adaptation of Text-Conditioned Diffusion Models for Audio-to-Image Generation INTERSPEECH 2023
SASPEECH: A Hebrew Single Speaker Dataset for Text To Speech and Voice Conversion INTERSPEECH 2023
Calibrated Multiple-Output Quantile Regression with Representation Learning JMLR 2023
Neural Implicit Flow: a mesh-agnostic dimensionality reduction paradigm of spatio-temporal data JMLR 2023
Density estimation on low-dimensional manifolds: an inflation-deflation approach JMLR 2023
A Likelihood Approach to Nonparametric Estimation of a Singular Distribution Using Deep Generative Models JMLR 2023