I am a PhD student in the Center for Language and Speech Processing at Johns Hopkins University. I am broadly interested in speech technologies, but I have primarily worked on multilingual and cross-lingual acoustic modeling for low-resource language ASR and topic identification. I am advised by Sanjeev Khudanpur and often work with Jan Trmal and Shinji Watanabe. I have worked on end-to-end speech recognition in Fairseq and ESPnet. I am an occasional contributer to Kaldi. Before starting at Johns Hopkins I used to work on machine learning applications in atmospheric science. Outside of work, I spend most of my time making music and with my family.


A Corpus for Large-Scale Phonetic Typology
Elizabeth Salesky, Eleanor Chodroff, Tiago Pimentel, Matthew Wiesner, Ryan Cotterell, Alan W Black, Jason Eisner, ACL 2020

Zero-Shot Pronunciation Lexicons for Cross-Language Acoustic Model Transfer Settings
Matthew Wiesner, Oliver Adams, David Yarowsky, Jan Trmal Sanjeev Khudanpur, ASRU 2019

Pretraining by Backtranslation for End-to-end ASR in Low-Resource Settings
Matthew Wiesner, Adithya Renduchintala, Shinji Watanabe, Chunxi Liu, Najim Dehak, Sanjeev Khudanpur, INTERSPEECH 2019

Analysis of Multilingual Sequence-to-Sequence speech recognition systems
Martin Karafiát, Murali Karthick Baskar, Shinji Watanabe, Takaaki Hori, Matthew Wiesner, Jan "Honza'' Černocký, INTERSPEECH 2019

Massively Multilingual Adversarial Speech Recognition
Oliver Adams, Matthew Wiesner, Shinji Watanabe, David Yarowsky, NAACL 2018

Multilingual sequence-to-sequence speech recognition:architecture, transfer learning, and language modeling
Jaejin Cho, Murali Karthick Baskar, Ruizhi Li, Matthew Wiesner, Sri Harish Mallidi, Nelson Yalta,Martin Karafiat, Shinji Watanabe, Takaaki Hori, SLT 2018

Low-Resource Centextual Topic Identification on Speech
Chunxi Liu, Matthew Wiesner, Shinji Watanabe, Craig Harman, Jan Trmal, Najim Dehak, Sanjeev Khudanpur, SLT 2018.

Automatic Speech Recognition and Topic Identification for Almost-Zero-Resource Languages
Matthew Wiesner, Chunxi Liu, Lucas Ondel, Craig Harman, Vimal Manohar, Jan Trmal, Zhongqiang Huang, Najim Dehak, Sanjeev Khudanpur, INTERSPEECH 2018.

Multi-Modal Data Augmentation for End-to-end ASR Best Student Paper!
Adithya Renduchintala, Shuoyang Ding, Matthew Wiesner and Shinji Watanabe, INTERSPEECH 2018.

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, Tsubasa Ochiai, INTERSPEECH 2018.

Topic Identification for Speech without ASR Nominated for Best Student Paper
Chunxi Liu, Jan Trmal, Matthew Wiesner, Craig Harman, Sanjeev Khudanpur, INTERSPEECH 2017.

The Kaldi OpenKWS System: Improving Low Resource Keyword Search
Jan Trmal, Matthew Wiesner, Vijayaditya Peddinti, Xiaohui Zhang, Pegah Ghahremani, Yiming Wang, Vimal Manohar, Hainan Xi, Daniel Povey, Sanjeev Khudanpur, INTERSPEECH 2017.

Automated Detection of Radar Severe Weather Signatures
Matthew Wiesner, Joseph Hardin, V. Chandrasekaran, American Meteorological Society 2014.


Ph.D. Candidate in Electrical Engineering (Sep 2014 - present)
Johns Hopkins University, MD, USA

Masters in Electrical Engineering (May 2016)
Johns Hopkins University, MD, USA

B.Eng Electrical Engineering / Minor in Arabic Language (Dec 2013)
McGill University, QC, CA


Jotto: The Code Breaking Game
B3 Clustering Metric


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