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https://issues.apache.org/jira/browse/TIKA-94?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12775155#action_12775155
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David Woollard commented on TIKA-94:
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I've used Sphinx for a couple of projects, to great success, but its probably
not what you are looking for here... fundamentally, there a two problems with
general speech recognition. The first is training. Most speech recognition
systems are trained in some way. Sphinx is "pre-trained" with a number of
different english-language accents (mostly American), or you can retrain it
yourself. The second problem is a grammar. In order to recognize a good
collection of words in the english language, you need to provide a very large
grammar (60,000ish words in the english language comes out to be a 200Mb+
file... probably many orders of magnitude larger than you would want in a
dependency).
Long and short of it is that sphinx is great out of the box if you speak with a
Mid-western American accent (as I happen to) and you are detailing with a
command and control situation where you can produce a small, tailored grammar.
This is something that could be done, but i would advocate that it be left
outside the core parsers.
> Speech recognition
> ------------------
>
> Key: TIKA-94
> URL: https://issues.apache.org/jira/browse/TIKA-94
> Project: Tika
> Issue Type: New Feature
> Components: parser
> Reporter: Jukka Zitting
> Priority: Minor
>
> Like OCR for image files (TIKA-93), we could try using speech recognition to
> extract text content (where available) from audio (and video!) files.
> The CMU Sphinx engine (http://cmusphinx.sourceforge.net/) looks promising and
> comes with a friendly license.
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