Sphinx 4 Acoustic Model Adaptation

This is a writeup of the steps I took to perform acoustic model adaptation for an acoustic model to be used in Sphinx 4.  I followed the well-written CMU howto.  I performed all steps on a mostly-new Ubuntu 11.04 install and adapted the Communicator acoustic model for use in Sphinx 4.  Keep an eye out for paths that may be different on your system and any error messages that pop up when running these commands.

I also generated a new, full set of adaptation prompt data from the CMU ARCTIC prompts.

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If you have inherently sequential problems I feel bad for you son…

…I’m running 99 jobs and not a glitch in one.  Thanks to HPCC for letting me run many different speech recognition configurations on many different audio files in parallel :)

Situated Language Processing

An anagram of “Speech Recognition” is “Incoherence Spigot”

That is all.

Speech Recognition with CMU Sphinx and SRILM language models

Speech recognition that does not take advantage of domain specific language models produces silly results.  The recognition menagerie below was generated with Sphinx 4.  I used the HUB4 acoustic model and an SRILM language model generated from the human annotator transcripts.

• No LM: thusly islam brown ivan and apelike of yellow
• LM: a seated small brown ottoman and teapot of yellow
• True: i see a small brown ottoman and a pot of yellow