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fauxneticien authored Mar 26, 2021
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In this project we examine different feature extraction methods ([Kaldi MFCCs](https://kaldi-asr.org/doc/feat.html), [BUT/Phonexia Bottleneck features](https://speech.fit.vutbr.cz/software/but-phonexia-bottleneck-feature-extractor), and variants of [wav2vec 2.0](https://github.com/pytorch/fairseq/tree/master/examples/wav2vec)) for performing QbE-STD with data from language documentation projects.

A walkthrough of the entire experiment pipeline can be found in [scripts/README.md](https://github.com/fauxneticien/qbe-std_feats_eval/tree/master/scripts). Links to acrhived experiment artefacts uploaded to Zenodo are provided in the [last section](https://github.com/fauxneticien/qbe-std_feats_eval#experiment-data-and-artefacts) of this README file. A description of the analyses based on the data is found in [analyses/README.md](https://github.com/fauxneticien/qbe-std_feats_eval/tree/master/analyses), which also provides links to the [pilot analyses](https://github.com/fauxneticien/qbe-std_feats_eval/blob/master/analyses/xlsr-pilot.md) with a mutlingual model, [system evaluations](https://github.com/fauxneticien/qbe-std_feats_eval/blob/master/analyses/mtwv.md), and the [error analysis](https://github.com/fauxneticien/qbe-std_feats_eval/blob/master/analyses/error-analysis.md) (all viewable online as GitHub Markdown).
A walkthrough of the entire experiment pipeline can be found in [scripts/README.md](https://github.com/fauxneticien/qbe-std_feats_eval/tree/master/scripts). Links to acrhived experiment artefacts uploaded to Zenodo are provided in the [last section](https://github.com/fauxneticien/qbe-std_feats_eval#experiment-data-and-artefacts) of this README file. A description of the analyses based on the data is found in [analyses/README.md](https://github.com/fauxneticien/qbe-std_feats_eval/tree/master/analyses), which also provides links to the [pilot analyses](https://github.com/fauxneticien/qbe-std_feats_eval/blob/master/analyses/xlsr-pilot.md) with a multilingual model, [system evaluations](https://github.com/fauxneticien/qbe-std_feats_eval/blob/master/analyses/mtwv.md), and the [error analysis](https://github.com/fauxneticien/qbe-std_feats_eval/blob/master/analyses/error-analysis.md) (all viewable online as GitHub Markdown).

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