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09/19/2023
Accelerating Diffusion-Based Text-to-Audio Generation with Consistency Distillation
Diffusion models power a vast majority of text-to-audio (TTA) generation...
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02/20/2023
Progressive Knowledge Distillation: Building Ensembles for Efficient Inference
We study the problem of progressive distillation: Given a large, pre-tra...
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10/26/2022
SCP-GAN: Self-Correcting Discriminator Optimization for Training Consistency Preserving Metric GAN on Speech Enhancement Tasks
In recent years, Generative Adversarial Networks (GANs) have produced si...
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12/21/2021
Augmented Contrastive Self-Supervised Learning for Audio Invariant Representations
Improving generalization is a major challenge in audio classification du...
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12/09/2021
A Training Framework for Stereo-Aware Speech Enhancement using Deep Neural Networks
Deep learning-based speech enhancement has shown unprecedented performan...
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12/08/2021
Training Robust Zero-Shot Voice Conversion Models with Self-supervised Features
Unsupervised Zero-Shot Voice Conversion (VC) aims to modify the speaker ...
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01/06/2021
Interspeech 2021 Deep Noise Suppression Challenge
The Deep Noise Suppression (DNS) challenge is designed to foster innovat...
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06/20/2020
Neuro-Symbolic Visual Reasoning: Disentangling "Visual" from "Reasoning"
Visual reasoning tasks such as visual question answering (VQA) require a...
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11/20/2019
MMTM: Multimodal Transfer Module for CNN Fusion
In late fusion, each modality is processed in a separate unimodal Convol...
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08/04/2019