Search Results for author: Martijn Bartelds

Found 6 papers, 4 papers with code

Leveraging supplementary text data to kick-start automatic speech recognition system development with limited transcriptions

no code implementations9 Feb 2023 Nay San, Martijn Bartelds, Blaine Billings, Ella de Falco, Hendi Feriza, Johan Safri, Wawan Sahrozi, Ben Foley, Bradley McDonnell, Dan Jurafsky

We perform experiments using 10 minutes of transcribed speech from English (for replicating prior work) and two additional pairs of languages differing in the availability of supplemental text data: Gronings and Frisian (~7. 5M token corpora available), and Besemah and Nasal (only small lexica available).

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1

Leveraging pre-trained representations to improve access to untranscribed speech from endangered languages

1 code implementation26 Mar 2021 Nay San, Martijn Bartelds, Mitchell Browne, Lily Clifford, Fiona Gibson, John Mansfield, David Nash, Jane Simpson, Myfany Turpin, Maria Vollmer, Sasha Wilmoth, Dan Jurafsky

Surprisingly, the English model outperformed the multilingual model on 4 Australian language datasets, raising questions around how to optimally leverage self-supervised speech representations for QbE-STD.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1

Neural Representations for Modeling Variation in Speech

1 code implementation25 Nov 2020 Martijn Bartelds, Wietse de Vries, Faraz Sanal, Caitlin Richter, Mark Liberman, Martijn Wieling

We show that speech representations extracted from a specific type of neural model (i. e. Transformers) lead to a better match with human perception than two earlier approaches on the basis of phonetic transcriptions and MFCC-based acoustic features.

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