Fetching the paper…
Reading the bibliography…
Spoken language understanding (SLU) tasks have been studied for many decades in the speech research community, but have not received as much attention as lower-level tasks like speech and speaker recognition.
Benchmarking natural language understanding services for building conversational agents
Xingkun Liu, Arash Eshghi, Pawel Swietojanski, and Verena Rieser. 2019 · 1903
Earlier work this paper cites.
NeMo: a toolkit for building AI applications using neural modules
Oleksii Kuchaiev, Jason Li, Huyen Nguyen, Oleksii Hrinchuk, Ryan Leary, Boris Ginsburg, Samuel Kriman, Stanislav Beliaev, Vitaly Lavrukhin, Jack Cook, et al. 2019 · 1909
Earlier work this paper cites.
The ATIS spoken language systems pilot corpus
Charles T. Hemphill, John J. Godfrey, and George R. Doddington. 1990 · 1990
Earlier work this paper cites.
Lexical, prosodic, and syntactic cues for dialog acts
Dan Jurafsky, Elizabeth Shriberg, Barbara Fox, and Traci Curl. 1998 · 1998
Earlier work this paper cites.
The icsi meeting corpus
A. Janin, D. Baron, J. Edwards, D. Ellis, D. Gelbart, N. Morgan, B. Peskin, T. Pfau, E. Shriberg, A. Stolcke, and C. Wooters. 2003 · 2003
Earlier work this paper cites.
Longformer: The long-document transformer
Iz Beltagy, Matthew E Peters, and Arman Cohan. 2020 · 2004
Earlier work this paper cites.
ROUGE: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
Earlier work this paper cites.
The ami meeting corpus
I. McCowan, J. Carletta, W. Kraaij, S. Ashby, S. Bourban, M. Flynn, M. Guillemot, T. Hain, J. Kadlec, V. Karaiskos, M. Kronenthal, G. Lathoud, M. Lincoln, A. Lisowska, W. Post, Dennis Reidsma, and P. Wellner. 2005 · 2005
Earlier work this paper cites.
Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks
Alex Graves, Santiago Fernández, Faustino Gomez, and Jürgen Schmidhuber. 2006 · 2006
Earlier work this paper cites.
IEMOCAP: Interactive emotional dyadic motion capture database
Carlos Busso, Murtaza Bulut, Chi-Chun Lee, Abe Kazemzadeh, Emily Mower, Samuel Kim, Jeannette N Chang, Sungbok Lee, and Shrikanth S Narayanan. 2008 · 2008
Earlier work this paper cites.
Praat: doing phonetics by computer (version 5.1.13)
Paul Boersma and David Weenink. 2009 · 2009
Earlier work this paper cites.
The probabilistic relevance framework: Bm25 and beyond
Stephen Robertson, Hugo Zaragoza, et al. 2009 · 2009
Earlier work this paper cites.
The NXT-format Switchboard corpus: a rich resource for investigating the syntax, semantics, pragmatics and prosody of dialogue
Sasha Calhoun, Jean Carletta, Jason M Brenier, Neil Mayo, Dan Jurafsky, Mark Steedman, and David Beaver. 2010 · 2010
Earlier work this paper cites.
Harpervalleybank: A domain-specific spoken dialog corpus
Mike Wu, Jonathan Nafziger, Anthony Scodary, and Andrew Maas. 2020 · 2010
Earlier work this paper cites.
Semantic parsing on Freebase from question-answer pairs
Jonathan Berant, Andrew Chou, Roy Frostig, and Percy Liang. 2013 · 2013
Earlier work this paper cites.
Meteor universal: Language specific translation evaluation for any target language
Michael Denkowski and Alon Lavie. 2014 · 2014
Earlier work this paper cites.
Modeling of the question answering task in the YodaQA system
Petr Baudiš and Jan Šedivỳ. 2015 · 2015
Earlier work this paper cites.
Librispeech: An ASR corpus based on public domain audio books
Vassil Panayotov, Guoguo Chen, Daniel Povey, and Sanjeev Khudanpur. 2015 · 2015
Earlier work this paper cites.
Mining the spoken Wikipedia for speech data and beyond
Arne Köhn, Florian Stegen, and Timo Baumann. 2016 · 2016
Earlier work this paper cites.
Squad: 100,000+ questions for machine comprehension of text
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang. 2016 · 2016
Earlier work this paper cites.
TriviaQA: A large scale distantly supervised challenge dataset for reading comprehension
Mandar Joshi, Eunsol Choi, Daniel S Weld, and Luke Zettlemoyer. 2017 · 2017
Earlier work this paper cites.
Montreal Forced Aligner: Trainable Text-Speech Alignment Using Kaldi
Michael McAuliffe, Michaela Socolof, Sarah Mihuc, Michael Wagner, and Morgan Sonderegger. 2017 · 2017
Earlier work this paper cites.
Alice Coucke, Alaa Saade, Adrien Ball, Théodore Bluche, Alexandre Caulier, David Leroy, Clément Doumouro, Thibault Gisselbrecht, Francesco Caltagirone, Thibaut Lavril, et al. 2018 · 2018
Cited alongside, same era.
TED-LIUM 3: Twice as much data and corpus repartition for experiments on speaker adaptation
Franç ois Hernandez, Vincent Nguyen, Sahar Ghannay, Natalia Tomashenko, and Yannick Estève. 2018 · 2018
Cited alongside, same era.
Spoken SQuAD: A study of mitigating the impact of speech recognition errors on listening comprehension
Chia-Hsuan Lee, Szu-Lin Wu, Chi-Liang Liu, and Hung-yi Lee. 2018 · 2018
Cited alongside, same era.
How2: a large-scale dataset for multimodal language understanding
Ramon Sanabria, Ozan Caglayan, Shruti Palaskar, Desmond Elliott, Loïc Barrault, Lucia Specia, and Florian Metze. 2018 · 2018
Cited alongside, same era.
End-to-end named entity recognition from English speech
Hemant Yadav, Sreyan Ghosh, Yi Yu, and Rajiv Ratn Shah. 2020 · 2020
Later among the works it cites.
Bertscore: Evaluating text generation with bert
Tianyi Zhang*, Varsha Kishore*, Felix Wu*, Kilian Q. Weinberger, and Yoav Artzi. 2020 · 2020
Later among the works it cites.
WavLM: Large-scale self-supervised pre-training for full stack speech processing
Sanyuan Chen, Chengyi Wang, Zhengyang Chen, Yu Wu, Shujie Liu, Zhuo Chen, Jinyu Li, Naoyuki Kanda, Takuya Yoshioka, Xiong Xiao, Jian Wu, Long Zhou, Shuo Ren, Yanmin Qian, Yao Qian, Micheal Zeng, and Furu Wei. 2021 · 2021
Later among the works it cites.
LeBenchmark: A reproducible framework for assessing self-supervised representation learning from speech
Solène Evain, Ha Nguyen, Hang Le, Marcely Zanon Boito, Salima Mdhaffar, Sina Alisamir, Ziyi Tong, Natalia Tomashenko, Marco Dinarelli, Titouan Parcollet, et al. 2021 · 2021
Later among the works it cites.
ASR-GLUE: A New Multi-task Benchmark for ASR-Robust Natural Language Understanding
Lingyun Feng, Jianwei Yu, Deng Cai, Songxiang Liu, Haitao Zheng, and Yan Wang. 2021 · 2021
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Trang Tran, Shubham Toshniwal, Mohit Bansal, Kevin Gimpel, Karen Livescu, and Mari Ostendorf. 2018 · 2018
Cited alongside, same era.
GLUE: A multi-task benchmark and analysis platform for natural language understanding
Alex Wang, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, and Samuel R Bowman. 2018 · 2018
Cited alongside, same era.
ESPNet: End-to-end speech processing toolkit
Shinji Watanabe, Takaaki Hori, Shigeki Karita, Tomoki Hayashi, Jiro Nishitoba, Yuya Unno, Nelson Enrique Yalta Soplin, Jahn Heymann, Matthew Wiesner, Nanxin Chen, Adithya Renduchintala, and Tsubasa Ochiai. 2018 · 2018
Cited alongside, same era.
Multimodal language analysis in the wild: CMU-MOSEI dataset and interpretable dynamic fusion graph
Amir Zadeh, Paul Pu Liang, Jonathan Vanbriesen, Soujanya Poria, Edmund Tong, Erik Cambria, Minghai Chen, and Louis Philippe Morency. 2018 · 2018
Cited alongside, same era.
Audio de-identification: A new entity recognition task
Ido Cohn, Itay Laish, Genady Beryozkin, Gang Li, Izhak Shafran, Idan Szpektor, Tzvika Hartman, Avinatan Hassidim, and Yossi Matias. 2019 · 2019
Cited alongside, same era.
Natural questions: a benchmark for question answering research
Tom Kwiatkowski, Jennimaria Palomaki, Olivia Redfield, Michael Collins, Ankur Parikh, Chris Alberti, Danielle Epstein, Illia Polosukhin, Jacob Devlin, Kenton Lee, et al. 2019 · 2019
Cited alongside, same era.
Bart: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Ves Stoyanov, and Luke Zettlemoyer. 2019 · 2019
Cited alongside, same era.
Speech model pre-training for end-to-end spoken language understanding
Loren Lugosch, Mirco Ravanelli, Patrick Ignoto, Vikrant Singh Tomar, and Yoshua Bengio. 2019 · 2019
Cited alongside, same era.
Later among the works it cites.
HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units
Wei-Ning Hsu, Benjamin Bolte, Yao-Hung Hubert Tsai, Kushal Lakhotia, Ruslan Salakhutdinov, and Abdelrahman Mohamed. 2021 · 2021
Later among the works it cites.
Attention-based multi-hypothesis fusion for speech summarization
Takatomo Kano, Atsunori Ogawa, Marc Delcroix, and Shinji Watanabe. 2021 · 2021
Later among the works it cites.
On the use of external data for spoken named entity recognition
Ankita Pasad, Felix Wu, Suwon Shon, Karen Livescu, and Kyu J. Han. 2021 · 2021
Later among the works it cites.
Changhan Wang, Morgane Riviere, Ann Lee, Anne Wu, Chaitanya Talnikar, Daniel Haziza, Mary Williamson, Juan Pino, and Emmanuel Dupoux. 2021 · 2021
Later among the works it cites.
SUPERB: Speech processing universal performance benchmark
Shu-wen Yang, Po-Han Chi, Yung-Sung Chuang, Cheng-I Jeff Lai, Kushal Lakhotia, Yist Y Lin, Andy T Liu, Jiatong Shi, Xuankai Chang, Guan-Ting Lin, et al. 2021 · 2021
Later among the works it cites.
data2vec: A general framework for self-supervised learning in speech, vision and language
Alexei Baevski, Wei-Ning Hsu, Qiantong Xu, Arun Babu, Jiatao Gu, and Michael Auli. 2022 · 2022
Closest in time.
Named entity recognition for audio de-identification
Guillaume Baril, Patrick Cardinal, and Alessandro Lameiras Koerich. 2022 · 2022
Closest in time.
English mfa acoustic model v2.0.0
Michael McAuliffe and Morgan Sonderegger. 2022 · 2022
Closest in time.
Self-supervised speech representation learning: A review
Abdelrahman Mohamed, Hung-yi Lee, Lasse Borgholt, Jakob D. Havtorn, Joakim Edin, Christian Igel, Katrin Kirchhoff, Shang-Wen Li, Karen Livescu, Lars Maaløe, Tara N. Sainath, and Shinji Watanabe. 2022 · 2022
Closest in time.
Yifan Peng, Siddhant Arora, Yosuke Higuchi, Yushi Ueda, Sujay Kumar, Karthik Ganesan, Siddharth Dalmia, Xuankai Chang, and Shinji Watanabe. 2022 · 2022
Closest in time.
Robust speech recognition via large-scale weak supervision
Alec Radford, Jong Wook Kim, Tao Xu, Greg Brockman, Christine McLeavey, and Ilya Sutskever. 2022 · 2022
Closest in time.
End-to-end speech summarization using restricted self-attention
Roshan Sharma, Shruti Palaskar, Alan W Black, and Florian Metze. 2022 · 2022
Closest in time.
Slue: New benchmark tasks for spoken language understanding evaluation on natural speech
Suwon Shon, Ankita Pasad, Felix Wu, Pablo Brusco, Yoav Artzi, Karen Livescu, and Kyu J Han. 2022a · 2022
Closest in time.
Stop: A dataset for spoken task oriented semantic parsing
Paden Tomasello, Akshat Shrivastava, Daniel Lazar, Po-Chun Hsu, Duc Le, Adithya Sagar, Ali Elkahky, Jade Copet, Wei-Ning Hsu, Yossef Mordechay, et al. 2022 · 2022
Closest in time.
Performance-efficiency trade-offs in unsupervised pre-training for speech recognition
Felix Wu, Kwangyoun Kim, Jing Pan, Kyu J Han, Kilian Q Weinberger, and Yoav Artzi. 2022a · 2022
Closest in time.
End-to-end spoken conversational question answering: Task, dataset and model
Chenyu You, Nuo Chen, Fenglin Liu, Shen Ge, Xian Wu, and Yuexian Zou. 2022 · 2022
Closest in time.