Are Neural Open-Domain Dialog Systems Robust to Speech Recognition
Errors in the Dialog History? An Empirical Study

Are Neural Open-Domain Dialog Systems Robust to Speech Recognition Errors in the Dialog History? An Empirical Study

18 August 2020

Karthik Gopalakrishnan

Behnam Hedayatnia

Longshaokan Wang

Yang Liu

Dilek Z. Hakkani-Tür

Papers citing "Are Neural Open-Domain Dialog Systems Robust to Speech Recognition Errors in the Dialog History? An Empirical Study"

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Title
Revisit Input Perturbation Problems for LLMs: A Unified Robustness Evaluation Framework for Noisy Slot Filling Task Guanting Dong Jinxu Zhao Tingfeng Hui Daichi Guo Wenlong Wan ... Yueyan Qiu Zhuoma Gongque Keqing He Zechen Wang Weiran Xu AAML 27 19 0 10 Oct 2023
Transformers in Speech Processing: A Survey S. Latif Aun Zaidi Heriberto Cuayáhuitl Fahad Shamshad Moazzam Shoukat Junaid Qadir 42 47 0 21 Mar 2023
Tokenwise Contrastive Pretraining for Finer Speech-to-BERT Alignment in End-to-End Speech-to-Intent Systems Vishal Sunder Eric Fosler-Lussier Samuel Thomas H. Kuo Brian Kingsbury 21 7 0 11 Apr 2022
NATURE: Natural Auxiliary Text Utterances for Realistic Spoken Language Evaluation David Alfonso-Hermelo Ahmad Rashid Abbas Ghaddar Huawei Noah’s Mehdi Rezagholizadeh 29 2 0 09 Nov 2021