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# Sphinx build info version 1
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# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
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We will present our tutorial about _Interpretability Techniques for Speech Models_ on **Sunday, August 17th** at this year's Interspeech conference in Rotterdam. <br> Check out the [preliminary programme](#interspeech-programme) below, and sign up through the [Interspeech registration form](https://www.interspeech2025.org/registration)!
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![tutorial-overview-diagram](images/tutorial-overview.png)
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(interspeech-programme)=
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## Preliminary programme at Interspeech 2025
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> **Introduction** to challenges of speech data for interpretability research <br>
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> [Grzegorz Chrupała](https://grzegorz.chrupala.me/)
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> Tutorial on **Representational Analysis methods** for speech model interpretability, including: <br> Probing{cite}`bentumProcessingStressEndEnd2024,shen-etal-2024-encoding,cormacenglishDomainInformedProbingWav2vec2022`, Representational Similarity Analyses (RSA{cite}`chrupala-etal-2020-analyzing,shenWaveSyntaxProbing2023a`, CCA{cite}`Pasad2021`, CKA{cite}`pmlr-v97-kornblith19a`), <br> CTC & Decoder lenses{cite}`deheerklootsHumanlikeLinguisticBiases2024,langedijkDecoderLensLayerwiseInterpretation2024`, ABX tests{cite}`schatz2016,algayresDPParseFindingWord2022,seysselDiscriminatingFormMeaning2025` <br>
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> Tutorial on **Representational Analysis methods** for speech model interpretability, including: <br> Probing{cite}`bentumProcessingStressEndEnd2024,shen-etal-2024-encoding,deheerklootsWhatSelfsupervisedSpeech2025,cormacenglishDomainInformedProbingWav2vec2022`, Representational Similarity Analyses (RSA{cite}`chrupala-etal-2020-analyzing,shenWaveSyntaxProbing2023a`, CCA{cite}`Pasad2021`, CKA{cite}`pmlr-v97-kornblith19a`), <br> CTC & Decoder lenses{cite}`deheerklootsHumanlikeLinguisticBiases2024,langedijkDecoderLensLayerwiseInterpretation2024`, ABX tests{cite}`schatz2016,algayresDPParseFindingWord2022,seysselDiscriminatingFormMeaning2025` <br>
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> [Martijn Bentum](https://www.ru.nl/personen/bentum-m), [Charlotte Pouw](https://www.illc.uva.nl/People/Table/person/5440/Charlotte-Pouw)
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> Tutorial on **Feature Importance Scoring methods** for speech model interpretability, including: <br> Context-mixing (Attention{cite}`pengWordDiscoveryVisually2022a,a-shams-etal-2024-uncovering`, Value-Zeroing{cite}`mohebbiHomophoneDisambiguationReveals2023a`), <br> Feature attribution{cite}`fucciExplainabilitySpeechModels2024` (Gradient-based{cite}`prasadHowAccentsConfound2020,guptaPhonemeDiscretizedSaliency2024` and Perturbation-based{cite}`wuExplanationsforASR2023,pastor-etal-2024-explaining`) <br>

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