Papers by Gilles Boulianne

4 papers
Progress in Multilingual Speech Recognition for Low Resource Languages Kurmanji Kurdish, Cree and Inuktut (2022.lrec-1)

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Challenge: Using acoustic data, we develop automatic speech recognition systems for three low resource languages.
Approach: They develop automatic speech recognition systems for three low resource languages using acoustic training data from 12 different languages in the hybrid DNN/HMM framework.
Outcome: The proposed models are for three low resource languages: Kurmanji Kurdish, Cree and Inuktut.
Automatic Transcription Challenges for Inuktitut, a Low-Resource Polysynthetic Language (2020.lrec-1)

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Challenge: Inuktitut is one of the 60 Indigenous languages currently spoken in Canada . polysynthetic languages are often termed agglutinative when their morphemes have clear boundaries and thus are easily segmentable.
Approach: They propose to use a corpus of 23 hours of transcribed oral stories to train automatic speech recognition in Inuktitut.
Outcome: The proposed model shows that Inuktitut displays a much higher degree of polysynthesis than other agglutinative languages like Finnish or Turkish.
Phoneme transcription of endangered languages: an evaluation of recent ASR architectures in the single speaker scenario (2022.findings-acl)

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Challenge: Recent work on phonetic transcription is reported to be the bottleneck in endangered languages . however, when a single speaker is involved, small amounts of training are needed .
Approach: They compare automatic speech recognition (ASR) approaches to speaker-dependent phonetic transcription using a common dataset of 11 languages.
Outcome: The proposed system handles morphologically complex languages and writing systems for which no pronunciation dictionary exists.
The Indigenous Languages Technology project at NRC Canada: An empowerment-oriented approach to developing language software (2020.coling-main)

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Challenge: This paper describes the first, three-year phase of a project at the National Research Council of Canada that is developing software to assist Indigenous communities in preserving their languages and extending their use.
Approach: They describe the first phase of a project at the National Research Council of Canada that is developing software to assist Indigenous communities in preserving their languages.
Outcome: The proposed software will help Indigenous communities preserve and revitalize their languages and extend their use.

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