[jira] [Commented] (TIKA-94) Speech recognition

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[jira] [Commented] (TIKA-94) Speech recognition

JIRA jira@apache.org

    [ https://issues.apache.org/jira/browse/TIKA-94?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16507725#comment-16507725 ]

Thejan Wijesinghe commented on TIKA-94:
---------------------------------------

WOW! this issue is so old. [~edwinyeozl] I'm very happy you are interested in this feature. [~chrismattmann], A typical LSTM/GRU based speech recognition model has around 120 million parameters, and training a model this large is extremely computationally expensive, i.e. you need lots of GPUs. I already have a working setup that does real time speech recognition, the one Mozilla has trained and it has achieved a WER of 6.5% on LibriSpeech’s test-clean set, this is close to human level ac curacies(human level WER is 5.83%), this is a tensorflow setup, I can integrate this with Tika as an external docker setup as an initial effort of including speech recognition in Tika, but supporting this with DL4J could take some time. WDYT?  

> 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
>              Labels: new-parser
>
> 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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