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Title:

Audio Adversarial Examples for Robust Hybrid CTC/Attention Speech Recognition

Document type:
Konferenzbeitrag
Author(s):
Kürzinger, Ludwig; Chavez Rosas, Edgar Ricardo; Li, Lujun; Watzel, Tobias; Rigoll, Gerhard
Abstract:
Recent advances in Automatic Speech Recognition (ASR) demonstrated how end-to-end systems are able to achieve state-of-the-art performance. There is a trend towards deeper neural networks, however those ASR models are also more complex and prone against specially crafted noisy data. Those Audio Adversarial Examples (AAE) were previously demonstrated on ASR systems that use Connectionist Temporal Classification (CTC), as well as attention-based encoder-decoder architectures. Following the idea of...     »
Editor:
Karpov, Alexey; Potapova, Rodmonga
Book / Congress title:
Speech and Computer
Publisher:
Springer International Publishing
Publisher address:
Cham
Year:
2020
Month:
Sep
Pages:
255--266
Print-ISBN:
978-3-030-60276-5
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