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Graves and colleagues: connectionist temporal classification

Contribution grade

Natural language processing and speech · ALGORITHM

Reference score180,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Defined a CTC objective and decoding scheme that sums over alignments to train recurrent sequence labellers from unsegmented targets.

Scientific scope

The record is the exact four-author ICML 2006 paper and its reported TIMIT experiment. CTC does not remove all modelling or decoding assumptions, and later speech-recognition systems and transducer variants remain separate.

Evidence

The linked sources identify this contribution and its scope. WRS has not independently reconstructed the scientific claims. The record is the exact four-author ICML 2006 paper and its reported TIMIT experiment. CTC does not remove all modelling or decoding assumptions, and later speech-recognition systems and transducer variants remain separate.

Contributors

Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

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