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Integrity report for AIPNet: Generative Adversarial Pre-training of Accent-invariant Networks for End-to-end Speech Recognition

A machine-verified record of the checks Pith has run against this paper: detector runs, findings, signed bundle events, and canonical identifiers.

arXiv:1911.11935 · pith:2019:PMZ46TPYKCDRU5RRFOH33A5WU5

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Paper page arXiv integrity.json bundle.json

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Signed record

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