3 citations · 3 across the 3 of their papers we have counts for
3 papers
The Potential of Neural Speech Synthesis-based Data Augmentation for Personalized Speech Enhancement
Anastasia Kuznetsova, Aswin Sivaraman, Minje Kim
With the advances in deep learning, speech enhancement systems benefited from large neural network architectures and achieved state-of-the-art quality. However, speaker-agnostic me…
Curriculum optimization for low-resource speech recognition
Anastasia Kuznetsova, Anurag Kumar, Jennifer Drexler Fox +1
Modern end-to-end speech recognition models show astonishing results in transcribing audio signals into written text. However, conventional data feeding pipelines may be sub-optima…
A bandit approach to curriculum generation for automatic speech recognition
Anastasia Kuznetsova, Anurag Kumar, Francis M. Tyers
The Automated Speech Recognition (ASR) task has been a challenging domain especially for low data scenarios with few audio examples. This is the main problem in training ASR system…