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07/12/2023
Rhythm Modeling for Voice Conversion
Voice conversion aims to transform source speech into a different target...
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09/15/2022
ZeroEGGS: Zero-shot Example-based Gesture Generation from Speech
We present ZeroEGGS, a neural network framework for speech-driven gestur...
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11/03/2021
A Comparison of Discrete and Soft Speech Units for Improved Voice Conversion
The goal of voice conversion is to transform source speech into a target...
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08/04/2021
Daft-Exprt: Robust Prosody Transfer Across Speakers for Expressive Speech Synthesis
This paper presents Daft-Exprt, a multi-speaker acoustic model advancing...
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03/22/2021
Energy Disaggregation using Variational Autoencoders
Non-intrusive load monitoring (NILM) is a technique that uses a single s...
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12/16/2020
Measuring Disentanglement: A Review of Metrics
Learning to disentangle and represent factors of variation in data is an...
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10/06/2017
Bag-Level Aggregation for Multiple Instance Active Learning in Instance Classification Problems
A growing number of applications, e.g. video surveillance and medical im...
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12/11/2016
Multiple Instance Learning: A Survey of Problem Characteristics and Applications
Multiple instance learning (MIL) is a form of weakly supervised learning...
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10/04/2016
