Sun | Mon | Tue | Wed | Thu | Fri | Sat |
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Berrak Sisman (University of Texas at Dallas) “Speech Synthesis and Voice Conversion: Machine Learning can Mimic Anyone’s Voice”
12:00 pm
Berrak Sisman (University of Texas at Dallas) “Speech Synthesis and Voice Conversion: Machine Learning can Mimic Anyone’s Voice”
@ Hackerman Hall B17
Nov 4 @ 12:00 pm – 1:15 pm
Abstract Voice conversion (VC) is a significant aspect of artificial intelligence. It is the study of how to convert one’s voice to sound like that of another without changing the linguistic content. Voice conversion belongs[...]
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Hui Guan (University of Massachusetts Amherst) “Towards Accurate and Efficient Edge Computing Via Multi-Task Learning”
12:00 pm
Hui Guan (University of Massachusetts Amherst) “Towards Accurate and Efficient Edge Computing Via Multi-Task Learning”
@ Hackerman Hall B17
Nov 11 @ 12:00 pm – 1:15 pm
Abstract AI-powered applications increasingly adopt Deep Neural Networks (DNNs) for solving many prediction tasks, leading to more than one DNNs running on resource-constrained devices. Supporting many models simultaneously on a device is challenging due to[...]
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Angela Fan (Meta AI Research) “No Language Left Behind: Scaling Human-Centered Machine Translation”
12:00 pm
Angela Fan (Meta AI Research) “No Language Left Behind: Scaling Human-Centered Machine Translation”
@ Hackerman Hall B17
Nov 18 @ 12:00 pm – 1:15 pm
Abstract Driven by the goal of eradicating language barriers on a global scale, machine translation has solidified itself as a key focus of artificial intelligence research today. However, such efforts have coalesced around a small[...]
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