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Titel:

Audio Adversarial Examples for Robust Hybrid CTC/Attention Speech Recognition

Dokumenttyp:
Konferenzbeitrag
Autor(en):
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...     »
Herausgeber:
Karpov, Alexey; Potapova, Rodmonga
Kongress- / Buchtitel:
Speech and Computer
Verlag / Institution:
Springer International Publishing
Verlagsort:
Cham
Jahr:
2020
Monat:
Sep
Seiten:
255--266
Print-ISBN:
978-3-030-60276-5
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