Search Results for author:
Found 4 papers, 1 papers with code
A Review of Speech-centric Trustworthy Machine Learning: Privacy, Safety, and Fairness
Speech-centric machine learning systems have revolutionized many leading domains ranging from transportation and healthcare to education and defense, profoundly changing how people live, work, and interact with each other.
Use of speaker recognition approaches for learning and evaluating embedding representations of musical instrument sounds
Constructing an embedding space for musical instrument sounds that can meaningfully represent new and unseen instruments is important for downstream music generation tasks such as multi-instrument synthesis and timbre transfer.
RepGN:Object Detection with Relational Proposal Graph Network
Region based object detectors achieve the state-of-the-art performance, but few consider to model the relation of proposals.
End-to-End Model for Speech Enhancement by Consistent Spectrogram Masking
The experiments comparing ourCSM based end-to-end model with other methods are conductedto confirm that the CSM accelerate the model training andhave significant improvements in speech quality.
