Speech Aware Dialog System Technology Challenge (DSTC11)

Towards a human-like open-domain chatbot

Original

Daniel Adiwardana, Minh-Thang Luong, David R. So, Jamie Hall, Noah Fiedel, Romal Thoppilan, Zi Yang, Apoorv Kulshreshtha, Gaurav Nemade, Yifeng Lu, and Quoc V. Le. 2020 · 2001

Earlier work this paper cites.

Data augmentation for copy-mechanism in dialogue state tracking

Original

Xiaohui Song, Liangjun Zang, Yipeng Su, Xing Wu, Jizhong Han, and Songlin Hu. 2020 · 2002

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Semi-supervised speech-language joint pre-training for spoken language understanding

Original

Yu-An Chung, Chenguang Zhu, and Michael Zeng. 2020 · 2010

Earlier work this paper cites.

SLURP: A spoken language understanding resource package

Original

Emanuele Bastianelli, Andrea Vanzo, Pawel Swietojanski, and Verena Rieser. 2020 · 2011

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Sequence transduction with recurrent neural networks

Alex Graves. 2012 · 2012

Earlier work this paper cites.

The third dialog state tracking challenge

Matthew Henderson, Blaise Thomson, and J. Williams. 2014a · 2014

Earlier work this paper cites.

Explicit alignment of text and speech encodings for attention-based end-to-end speech recognition

Jennifer Drexler and James R. Glass. 2019 · 2019

Earlier work this paper cites.

MultiWOZ 2.2 : A dialogue dataset with additional annotation corrections and state tracking baselines

Xiaoxue Zang, Abhinav Rastogi, Srinivas Sunkara, Raghav Gupta, Jianguo Zhang, and Jindong Chen. 2020 · 2020

Cited alongside, same era.

SLAM: A unified encoder for speech and language modeling via speech-text joint pre-training

Ankur Bapna, Yu-An Chung, Nan Wu, Anmol Gulati, Ye Jia, Jonathan H. Clark, Melvin Johnson, Jason Riesa, Alexis Conneau, and Yu Zhang. 2021 · 2021

Cited alongside, same era.

Speech-t: Transducer for text to speech and beyond

Jiawei Chen, Xu Tan, Yichong Leng, Jin Xu, Guihua Wen, Tao Qin, and Tie-Yan Liu. 2021 · 2021

Cited alongside, same era.

The people’s speech: A large-scale diverse english speech recognition dataset for commercial usage

Original

Daniel Galvez, Greg Diamos, Juan Ciro, Juan Felipe Cerón, Keith Achorn, Anjali Gopi, David Kanter, Maximilian Lam, Mark Mazumder, and Vijay Janapa Reddi. 2021 · 2021

Cited alongside, same era.

Png bert: Augmented bert on phonemes and graphemes for neural tts

Ye Jia, Heiga Zen, Jonathan Shen, Yu Zhang, and Yonghui Wu. 2021 · 2021

mslam: Massively multilingual joint pre-training for speech and text

Original

Ankur Bapna, Colin Cherry, Yu Zhang, Ye Jia, Melvin Johnson, Yong Cheng, Simran Khanuja, Jason Riesa, and Alexis Conneau. 2022 · 2022

Closest in time.

MAESTRO: matched speech text representations through modality matching

Original

Zhehuai Chen, Yu Zhang, Andrew Rosenberg, Bhuvana Ramabhadran, Pedro J. Moreno, Ankur Bapna, and Heiga Zen. 2022 · 2022

Closest in time.

Knowledge-grounded task-oriented dialogue modeling on spoken conversations track at dstc10

Seokhwan Kim, Yang Liu, Di Jin, Alexandros Papangelis, Behnam Hedayatnia, Karthik Gopalakrishnan, and Dilek Hakkani-Tur. 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.

Unified speech-text pre-training for speech translation and recognition

Yun Tang, Hongyu Gong, Ning Dong, Changhan Wang, Wei-Ning Hsu, Jiatao Gu, Alexei Baevski, Xian Li, Abdelrahman Mohamed, Michael Auli, and Juan Pino. 2022 · 2022