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Sensors, Vol. 21, Pages 3063: Dynamic Acoustic Unit Augmentation with BPE-Dropout for Low-Resource End-to-End Speech Recognition
uri Matveev
With the rapid development of speech assistants, adapting server-intended automatic speech recognition (ASR) solutions to a direct device has become crucial. For on-device speech recognition tasks, researchers and industry prefer end-to-end ASR systems as they can be made resource-efficient while maintaining a higher quality compared to hybrid systems. However, building end-to-end models requires a significant amount of speech data. Personalization, which is mainly handling out-of-vocabulary (OOV) words, is another challenging task associated with speech assistants. In this work, we consider building an eff...
Source: Sensors - April 28, 2021 Category: Biotechnology Authors: Aleksandr Laptev Andrei Andrusenko Ivan Podluzhny Anton Mitrofanov Ivan Medennikov Yuri Matveev Tags: Article Source Type: research
