So if pockesphinx produces some recognizable dialog from a noisy movie, it should do very well with recordings I plan to take of meetings. This is not the intended use, but it was a sample file I had handy to test with. It was pretty choppy, but it was recognizable, and the test input was the audio channel from a downloaded movie with A LOT of background noise / music / effects. This resulted in a text file with text of the dialog in the test input. Pocketsphinx_continuous -infile /tmp/test.wav >/tmp/out.txt Their example showed this command line:įfmpeg -i /tmp/new.wav -ar 16000 -ac 1 /tmp/test.wav I don't need high quality - just a rough outline of the discussion in the recording will be sufficient.ĭoes anyone have recommendations for tools that may acheive this goal? And if Julius is a good option, how is it used? I found one example in the Julius github page that was giving an example of using it specifically for my goals: to convert a wav file to text. I don't intend to develop and train machine learning models (as speaker in the audio may change from one use to the next). I don't mind doing some scripting to acheive this, but I need to know how to call the tool to acheive the end result. I just need to get a tool to take a wave file and produce text. There is a BOOK for julius which seems targetted more toward those who want to do research on the machine learning models it uses. The one recommendation that keeps coming up is Julius, which is in the repos - but I can't find any useful documentation (there is no man page and the -help output is not helpful). Some that are packaged in the AUR have multiple AUR dependencies some of which fail to build (e.g., sphinxbase). I've been digging through various options, but very few of those recommended on sites I find from a web search are packaged in the repos or AUR and would seem to require a lot of work to package / build and it's not really clear if they'd even meet my needs. I'm looking for a way to convert an audio recording to a text transcript.
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