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Rabiner: hidden Markov models for speech recognition

Contribution grade

Natural language processing and speech · METHOD

Reference score85,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Integrated HMM inference, decoding, learning and practical speech implementation into a detailed engineering tutorial.

Scientific scope

The record is Rabiner's sole-author 1989 Proceedings of the IEEE tutorial. It did not originate hidden Markov models, the Baum-Welch algorithm or every speech-recognition application, and its examples do not establish modern end-to-end system performance.

Evidence

The linked sources identify this contribution and its scope. WRS has not independently reconstructed the scientific claims. The record is Rabiner's sole-author 1989 Proceedings of the IEEE tutorial. It did not originate hidden Markov models, the Baum-Welch algorithm or every speech-recognition application, and its examples do not establish modern end-to-end system performance.

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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