- Closed-loop data-driven modeling supervised
only from a word-level transcription
- The expectation/maximization (EM)
algorithm is used to improve our parameter
estimates.
- Computationally efficient training algorithms
(Forward-Backward) have been crucial.
- Batch mode parameter updates are typically
preferred.
- Decision trees are used to optimize parameter-sharing, system complexity, and the use of additional linguistic knowledge.