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arXiv · 2106.11603

Information Retrieval for ZeroSpeech 2021: The Submission by University of Wroclaw

Jan Chorowski·Grzegorz Ciesielski·Jarosław Dzikowski·Adrian Łańcucki·Ricard Marxer·Mateusz Opala·Piotr Pusz·Paweł Rychlikowski·Michał Stypułkowski
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Abstract

We present a number of low-resource approaches to the tasks of the Zero Resource Speech Challenge 2021. We build on the unsupervised representations of speech proposed by the organizers as a baseline, derived from CPC and clustered with the k-means algorithm. We demonstrate that simple methods of refining those representations can narrow the gap, or even improve upon the solutions which use a high computational budget. The results lead to the conclusion that the CPC-derived representations are still too noisy for training language models, but stable enough for simpler forms of pattern matching and retrieval.

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Jan Chorowski, Grzegorz Ciesielski, Jarosław Dzikowski, Adrian Łańcucki, Ricard Marxer, Mateusz Opala, Piotr Pusz, Paweł Rychlikowski, Michał Stypułkowski. 2021-06-22. Information Retrieval for ZeroSpeech 2021: The Submission by University of Wroclaw. https://doi.org/10.21437/interspeech.2021-1465

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