25.8k citations
- Central European Institute of TechnologyCZ145 papers
- Centre National de la Recherche ScientifiqueFR42 papers
- Masaryk UniversityCZ41 papers
- TU WienAT34 papers
- Université Grenoble AlpesFR24 papers
- FZU ‒ Institute of Physics of the Academy of Sciences of the Czech RepublicCZ22 papers
- University of ViennaAT21 papers
- Charles UniversityCZ17 papers
- Central European Institute of Technology – Masaryk UniversityCZ16 papers
- Kempelen Institute of Intelligent Technologies13 papers
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- Military University of Technology in WarsawPL13 papers
6 papers · 2 filters
Transfer learning of language-independent end-to-end ASR with language model fusion
Hirofumi Inaguma, Jaejin Cho, Murali Karthick Baskar +2
This work explores better adaptation methods to low-resource languages using an external language model (LM) under the framework of transfer learning. We first build a language-ind…
Multilingual sequence-to-sequence speech recognition: architecture, transfer learning, and language modeling
Jaejin Cho, Murali Karthick Baskar, Ruizhi Li +6
Sequence-to-sequence (seq2seq) approach for low-resource ASR is a relatively new direction in speech research. The approach benefits by performing model training without using lexi…
Residual Memory Networks: Feed-forward approach to learn long temporal dependencies
Murali Karthick Baskar, Martin Karafiat, Lukas Burget +3
Training deep recurrent neural network (RNN) architectures is complicated due to the increased network complexity. This disrupts the learning of higher order abstracts using deep R…
Unsupervised Word Segmentation from Speech with Attention
Pierre Godard, Marcely Zanon-Boito, Lucas Ondel +4
We present a first attempt to perform attentional word segmentation directly from the speech signal, with the final goal to automatically identify lexical units in a low-resource,…
Linguistic unit discovery from multi-modal inputs in unwritten languages: Summary of the "Speaking Rosetta" JSALT 2017 Workshop
Odette Scharenborg, Laurent Besacier, Alan Black +16
We summarize the accomplishments of a multi-disciplinary workshop exploring the computational and scientific issues surrounding the discovery of linguistic units (subwords and word…
Automatic Speech Recognition and Topic Identification for Almost-Zero-Resource Languages
Matthew Wiesner, Chunxi Liu, Lucas Ondel +6
Automatic speech recognition (ASR) systems often need to be developed for extremely low-resource languages to serve end-uses such as audio content categorization and search. While…