User:Manetta/scripts/pocketsphinx-to-text

pocketsphinx output

HAL (2001 - a Space Odyssey, 1968):

000000000: and i ask
000000001: don't mind told
000000002: i hope the to view and concerned about drugs
000000003: quite sure so i know everything we house is the site right 
 let's say us at a shore you know it's very confident face that it's going 
 to see a hole right to get us i feel much for to the status 
 to where you got very loose from various to stay

Samantha (Her, 2013):

000000000: we don't think when you me because you get into work but 
 you when i'm of what is not leave the coming when the suffering 
 so you minus of character on most who she i will 
 to another u. two is that a risky had her grief for that a you
000000001: tony everything that a to do to have he thinks he has ago 
 if your home and his family and to come in to you and 
 can do you say will don't worry about his talk you an chairman who 
 will as she i and i think to are good for its new home you're 
 not an on it moving to a there
000000002: this you do if you he
000000003: through the sea

Echo (Amazon Echo, 2015):

000000000: when it we're not time to for what right

Gerty (Moon, 2009):

000000000: fed is the chief
000000001: i think the that a u. upset by industry or not for that she was 
 i out the side the law firm is a to also allows them to are used to and 
 you are send the sand what is it might help to talk about 
 a hit says that going hungry are you hungry and you have 
 changed and so the senate and i don't it so 
 if you knew is going to be

Ash (Black Mirror, 2013):

000000000: or so on alexander
000000001: hello to call wall street the at it a cry at the break the speech today 
 he night on know hear stories i mean i'm not three
000000002: sorry i only to see if you ask that no matter is all right but it lot 
 have been on the that data on room always been a new trial to hit 
 half ago in this in somebody who like a u. s. a. of the out that you all right
000000003: this is years
000000004: the shore of it in our out to a tax cut
000000005: and you won't e. c. go where we going very high and married has brought to see though law and if you the the way us

code: video to wav to text

import os
import glob
import subprocess as sub


os.chdir("./")
for file in glob.glob("*.mp4"):
	x = file
	video = x
	name = x.replace(".mp4", "")
	outputname = name.replace("answ-quest-", "")
	print '****WORKING ON******', name

	cmd_ffmpeg = 'ffmpeg -i '+video+' -vn -acodec pcm_s16le -ac 1 -ar 16000 -y '+name+'.wav'
	print cmd_ffmpeg
	os.system(cmd_ffmpeg)

	with open('pocketsphinx-'+outputname+'.txt', 'w') as txt:

		i = 0
		y = ['00000', 'recognized']
		for i in range (1):
			cmd = 'pocketsphinx_continuous -infile '+name+'.wav | grep '+y[0]+''
			print cmd

			output = os.popen(cmd,'rb')
			while 1:
				line = output.readline()
				if not line: break
				print line
				txt.write(line), "\n"

to do future steps

Looking closer into pocketsphinx, look at the process of word recognition, how to optimize results?

Displaying the proces of recognition, that generates an image of all the words it has been recognized but rejected as being right. Though, this a bit feels as an living organism who's thinking. This script has been shown at Cqrrelations (january 2015), by RYBN.

As an example: