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README.md

Tedlium

Base VM: TEDLIUM – Training a Kaldi model using the TED-LIUM data set

  • Download: [Tedlium Git URL](https://github.com/srvk/srvk-sandbox/tree/master/tedlium/Vagrant)

  • Requirements: 16 GB RAM 4 cores

  • Recommended: Vagrant 1.7.2

  • [Tedlium README](http://speechkitchen.org/tedlium-readme)

  • FORUM: http://speechkitchen.org/forums/forum/kaldi-tedlium-forum/

The TEDLIUM VM is a complete training experiment using training data and transcripts from TED talks released in the TEDLIUM_release1 data set. This is an advanced VM that requires a LOT of resources, resulting in pretty good (but still quite large) acoustic and language models. There is additional support (by way of an add-on experiment download) for neural net based decoding, including DNN models and PDNN tools.