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fauxneticien/README.md

Hi there 👋

I'm Nay, currently a PhD candidate at Stanford Linguistics. My research focuses on data-centric approaches to creating speech and language technologies for digitally underserved languages and user populations. In recent work, I have been examining how state-of-the-art models trained for major languages can be adapted for speech information retrieval applications related to endangered language documentation and revitalisation.

Repositories

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  1. CoEDL/vad-sli-asr CoEDL/vad-sli-asr Public

    A pipeline to isolate and transcribe one language in mixed-language speech

    Python 18 3

  2. qbe-std_feats_eval qbe-std_feats_eval Public

    Evaluation of feature extraction methods for query-by-example spoken term detection with low resource languages

    Perl 11 2

  3. parledoct/qbestdocks parledoct/qbestdocks Public

    A set of pre-configured Docker containers for deploying a Query-by-Example Spoken Term Detection service.

    JavaScript

  4. CoEDL/vyov CoEDL/vyov Public

    Visualise your own vowels: A short introduction to Praat for complete beginners

    HTML 2

  5. CoEDL/tidylex CoEDL/tidylex Public

    Tidy lexicographical data in backslash-coded formats

    JavaScript 3

  6. CoEDL/yinarlingi CoEDL/yinarlingi Public

    R package for testing Warlpiri dictionary data structures

    R 1