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11/14/2022
The Potential of Neural Speech Synthesis-based Data Augmentation for Personalized Speech Enhancement
With the advances in deep learning, speech enhancement systems benefited...
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10/20/2021
Adapting Speech Separation to Real-World Meetings Using Mixture Invariant Training
The recently-proposed mixture invariant training (MixIT) is an unsupervi...
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05/08/2021
Zero-Shot Personalized Speech Enhancement through Speaker-Informed Model Selection
This paper presents a novel zero-shot learning approach towards personal...
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04/05/2021
Personalized Speech Enhancement through Self-Supervised Data Augmentation and Purification
Training personalized speech enhancement models is innately a no-shot le...
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04/05/2021
Self-Supervised Learning for Personalized Speech Enhancement
Speech enhancement systems can show improved performance by adapting the...
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03/03/2021
Detecting Extraneous Content in Podcasts
Podcast episodes often contain material extraneous to the main content, ...
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11/06/2020
Self-Supervised Learning from Contrastive Mixtures for Personalized Speech Enhancement
This work explores how self-supervised learning can be universally used ...
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05/16/2020
Sparse Mixture of Local Experts for Efficient Speech Enhancement
In this paper, we investigate a deep learning approach for speech denois...
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02/03/2019
Deep Autotuner: A Data-Driven Approach to Natural-Sounding Pitch Correction for Singing Voice in Karaoke Performances
We describe a machine-learning approach to pitch correcting a solo singi...
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05/07/2018
A Data-Driven Approach to Smooth Pitch Correction for Singing Voice in Pop Music
In this paper, we present a machine-learning approach to pitch correctio...
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01/29/2018
