7 citations · 10 across the 4 of their papers we have counts for
5 papers
Cross-lingual Knowledge Transfer and Iterative Pseudo-labeling for Low-Resource Speech Recognition with Transducers
Jan Silovsky, Liuhui Deng, Arturo Argueta +6
Voice technology has become ubiquitous recently. However, the accuracy, and hence experience, in different languages varies significantly, which makes the technology not equally in…
Learning from Noisy Labels with Noise Modeling Network
Zhuolin Jiang, Jan Silovsky, Man-Hung Siu +3
Multi-label image classification has generated significant interest in recent years and the performance of such systems often suffers from the not so infrequent occurrence of incor…
Improving Language Identification for Multilingual Speakers
Andrew Titus, Jan Silovsky, Nanxin Chen +3
Spoken language identification (LID) technologies have improved in recent years from discriminating largely distinct languages to discriminating highly similar languages or even di…
Towards a New Understanding of the Training of Neural Networks with Mislabeled Training Data
Herbert Gish, Jan Silovsky, Man-Ling Sung +3
We investigate the problem of machine learning with mislabeled training data. We try to make the effects of mislabeled training better understood through analysis of the basic mode…
Machine Learning Approach to RF Transmitter Identification
K. Youssef, Louis-S. Bouchard, K. Z. Haigh +3
With the development and widespread use of wireless devices in recent years (mobile phones, Internet of Things, Wi-Fi), the electromagnetic spectrum has become extremely crowded. I…