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1
Transfer Learning Approaches for Feature Denoising and Low-Resource Speech Recognition
Transfer Learning Approaches for Feature Denoising and Low-Resource Speech Recognition
Bagchi, Deblin. | The Ohio State University | 2020
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2
End-to-End Modeling for Abstractive Speech Summarization.
End-to-End Modeling for Abstractive Speech Summarization.
Sharma, Roshan.Electrical and Computer Engineering | Carnegie Mellon University. | 2024
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3
Spectro-Temporal and Linguistic Processing of Speech in Artificial and Biological Neural Networks.
Spectro-Temporal and Linguistic Processing of Speech in Artificial and Biological Neural Networks.
Keshishian, Menoua.Electrical Engineering. | Columbia University. | 2024
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4
Continual Learning on Speech and Audio: Towards Data, Model and Metrics.
Continual Learning on Speech and Audio: Towards Data, Model and Metrics.
Yang, Muqiao.Electrical and Computer Engineering. | Carnegie Mellon University. | 2024
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5
Prosody in Human Communication and Machine Understanding.
Prosody in Human Communication and Machine Understanding.
Ng, Sara B.Linguistics. | University of Washington. | 2024
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6
Towards Adaptive, Continual Embodied Agents.
Towards Adaptive, Continual Embodied Agents.
Xu, Kelvin.Electrical Engineering & Computer Scien | University of California, Berkeley. | 2022
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