9 citations · 29 across the 19 of their papers we have counts for
3 papers · 1 filter
Maximum-Entropy Adversarial Audio Augmentation for Keyword Spotting
Zuzhao Ye, Gregory Ciccarelli, Brian Kulis
Data augmentation is a key tool for improving the performance of deep networks, particularly when there is limited labeled data. In some fields, such as computer vision, augmentati…
Enhancing Multilingual Speech Recognition through Language Prompt Tuning and Frame-Level Language Adapter
Song Li, Yongbin You, Xuezhi Wang +2
Multilingual intelligent assistants, such as ChatGPT, have recently gained popularity. To further expand the applications of multilingual artificial intelligence assistants and fac…
Sequence-Level Knowledge Distillation for Class-Incremental End-to-End Spoken Language Understanding
Umberto Cappellazzo, Muqiao Yang, Daniele Falavigna +1
The ability to learn new concepts sequentially is a major weakness for modern neural networks, which hinders their use in non-stationary environments. Their propensity to fit the c…