Disentangle-Transformer: An Explainable End-to-End Automatic Speech Recognition Model with Speech Content-Context Separation Learning Based on Varying Temporal Resolutions

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Publication Details

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Lirias (KU Leuven)
Published
2024-11-19
Primary Topic
Speech Recognition and Synthesis
Type
article
Field-Weighted Citation Impact
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article

Disentangle-Transformer: An Explainable End-to-End Automatic Speech Recognition Model with Speech Content-Context Separation Learning Based on Varying Temporal Resolutions

Lirias (KU Leuven)
Speech Recognition and Synthesis
article

Disentangle-Transformer: An Explainable End-to-End Automatic Speech Recognition Model with Speech Content-Context Separation Learning Based on Varying Temporal Resolutions

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Abstract

No abstract available for this paper.
Lirias (KU Leuven)
KU Leuven (BE)
Fonds Wetenschappelijk Onderzoek, Vlaamse regering
Reduced inequalities
Openalex Percentile: Top 56%
Speech Recognition and Synthesis
Open Access PDFOpenAlex
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