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eess.AS2026
SiamCTC: Learning Speech Representations through Monotonic Temporal Alignment
SooHwan Eom, Mark Hasegawa-Johnson, Chang D. Yoo
Self-supervised speech representation learning has made significant progress through Siamese networks, which leverage different views of the same input. However, existing methods o…
eess.AS2024
AdaMER-CTC: Connectionist Temporal Classification with Adaptive Maximum Entropy Regularization for Automatic Speech Recognition
SooHwan Eom, Eunseop Yoon, Hee Suk Yoon +3
In Automatic Speech Recognition (ASR) systems, a recurring obstacle is the generation of narrowly focused output distributions. This phenomenon emerges as a side effect of Connecti…