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Matthew Sharifi

2 accepted papers

2020

Pitch Estimation Via Self-Supervision

ICASSP 2020accepted

We present a method to estimate the fundamental frequency in monophonic audio, often referred to as pitch estimation. In contrast to existing methods, our neural network can be fully trained only on unlabeled data, using self-supervision. A tiny amount of labeled data is needed solely for mapping th…

Cited by 0SourceScholar
2020

Training Keyword Spotters with Limited and Synthesized Speech Data

ICASSP 2020accepted

With the rise of low power speech-enabled devices, there is a growing demand to quickly produce models for recognizing arbitrary sets of keywords. As with many machine learning tasks, one of the most challenging parts in the model creation process is obtaining a sufficient amount of training data. I…

Cited by 0SourceScholar