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Back Transcription as a Method for Evaluating Robustness of Natural
  Language Understanding Models to Speech Recognition Errors

Back Transcription as a Method for Evaluating Robustness of Natural Language Understanding Models to Speech Recognition Errors

25 October 2023
Marek Kubis
Pawel Skórzewski
Marcin Sowañski
Tomasz Ziętkiewicz
ArXivPDFHTML

Papers citing "Back Transcription as a Method for Evaluating Robustness of Natural Language Understanding Models to Speech Recognition Errors"

5 / 5 papers shown
Title
reWordBench: Benchmarking and Improving the Robustness of Reward Models with Transformed Inputs
reWordBench: Benchmarking and Improving the Robustness of Reward Models with Transformed Inputs
Zhaofeng Wu
Michihiro Yasunaga
Andrew Cohen
Yoon Kim
Asli Celikyilmaz
Marjan Ghazvininejad
48
2
0
14 Mar 2025
A Three-Pronged Approach to Cross-Lingual Adaptation with Multilingual
  LLMs
A Three-Pronged Approach to Cross-Lingual Adaptation with Multilingual LLMs
Vaibhav Singh
Amrith Krishna
Karthika NJ
Ganesh Ramakrishnan
29
4
0
25 Jun 2024
k* Distribution: Evaluating the Latent Space of Deep Neural Networks
  using Local Neighborhood Analysis
k* Distribution: Evaluating the Latent Space of Deep Neural Networks using Local Neighborhood Analysis
Shashank Kotyan
Tatsuya Ueda
Danilo Vasconcellos Vargas
32
1
0
07 Dec 2023
fairseq S^2: A Scalable and Integrable Speech Synthesis Toolkit
fairseq S^2: A Scalable and Integrable Speech Synthesis Toolkit
Changhan Wang
Wei-Ning Hsu
Yossi Adi
Adam Polyak
Ann Lee
Peng-Jen Chen
Jiatao Gu
J. Pino
VLM
72
32
0
14 Sep 2021
Listening while Speaking: Speech Chain by Deep Learning
Listening while Speaking: Speech Chain by Deep Learning
Andros Tjandra
S. Sakti
Satoshi Nakamura
AuLLM
126
165
0
16 Jul 2017
1