Matthias Sperber | DeepAI

AI Chat

Featured Co-authors

Graham Neubig
243 publications
Alan W Black
73 publications
Florian Metze
72 publications
Satoshi Nakamura
66 publications
Xinyi Wang
52 publications
Jan Niehues
48 publications
Alex Waibel
45 publications
Tatiana Likhomanenko
26 publications
Elizabeth Salesky
22 publications
Ramon Sanabria
20 publications
Zhong Zhou
18 publications

∙ 09/05/2023

Automating Behavioral Testing in Machine Translation

Behavioral testing in NLP allows fine-grained evaluation of systems by e...

0 Javier Ferrando, et al. ∙

∙ 12/20/2022

Joint Speech Transcription and Translation: Pseudo-Labeling with Out-of-Distribution Data

Self-training has been shown to be helpful in addressing data scarcity f...

0 Mozhdeh Gheini, et al. ∙

∙ 04/11/2022

End-to-End Speech Translation for Code Switched Speech

Code switching (CS) refers to the phenomenon of interchangeably using wo...

0 Orion Weller, et al. ∙

∙ 01/22/2021

Streaming Models for Joint Speech Recognition and Translation

Using end-to-end models for speech translation (ST) has increasingly bee...

0 Orion Weller, et al. ∙

∙ 07/24/2020

Consistent Transcription and Translation of Speech

The conventional paradigm in speech translation starts with a speech rec...

0 Matthias Sperber, et al. ∙

∙ 05/28/2020

Variational Neural Machine Translation with Normalizing Flows

Variational Neural Machine Translation (VNMT) is an attractive framework...

0 Hendra Setiawan, et al. ∙

∙ 04/14/2020

Speech Translation and the End-to-End Promise: Taking Stock of Where We Are

Over its three decade history, speech translation has experienced severa...

0 Matthias Sperber, et al. ∙

∙ 03/22/2020

Low Latency ASR for Simultaneous Speech Translation

User studies have shown that reducing the latency of our simultaneous le...

0 Thai-Son Nguyen, et al. ∙

∙ 06/04/2019

Self-Attentional Models for Lattice Inputs

Lattices are an efficient and effective method to encode ambiguity of up...

0 Matthias Sperber, et al. ∙

∙ 06/04/2019

Exploring Phoneme-Level Speech Representations for End-to-End Speech Translation

Previous work on end-to-end translation from speech has primarily used f...

0 Elizabeth Salesky, et al. ∙

∙ 06/03/2019

Fluent Translations from Disfluent Speech in End-to-End Speech Translation

Spoken language translation applications for speech suffer due to conver...

0 Elizabeth Salesky, et al. ∙

∙ 04/15/2019

Attention-Passing Models for Robust and Data-Efficient End-to-End Speech Translation

Speech translation has traditionally been approached through cascaded mo...

0 Matthias Sperber, et al. ∙

∙ 08/25/2018

Paraphrases as Foreign Languages in Multilingual Neural Machine Translation

Using paraphrases, the expression of the same semantic meaning in differ...

0 Zhong Zhou, et al. ∙

∙ 08/01/2018

Low-Latency Neural Speech Translation

Through the development of neural machine translation, the quality of ma...

0 Jan Niehues, et al. ∙

∙ 04/21/2018

Massively Parallel Cross-Lingual Learning in Low-Resource Target Language Translation

We work on translation from rich-resource languages to low-resource lang...

0 Zhong Zhou, et al. ∙

∙ 03/26/2018

Self-Attentional Acoustic Models

Self-attention is a method of encoding sequences of vectors by relating ...

0 Matthias Sperber, et al. ∙

∙ 03/01/2018

XNMT: The eXtensible Neural Machine Translation Toolkit

This paper describes XNMT, the eXtensible Neural Machine Translation too...

0 Graham Neubig, et al. ∙

∙ 09/15/2017

Transcribing Against Time

We investigate the problem of manually correcting errors from an automat...

0 Matthias Sperber, et al. ∙

∙ 08/15/2017

Comparison of Decoding Strategies for CTC Acoustic Models

Connectionist Temporal Classification has recently attracted a lot of in...

0 Thomas Zenkel, et al. ∙

∙ 04/03/2017

Neural Lattice-to-Sequence Models for Uncertain Inputs

The input to a neural sequence-to-sequence model is often determined by ...

0 Matthias Sperber, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world