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Magyar Speech Recognition Software
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Magyar Speech Recognition Software Statistics 2018
Jan:470
Feb:773
Mar:692
Apr:268
May:160
June:428
July:691
Aug:723
Sept:538
Oct:548
Nov:295
Dec:2
Magyar Speech Recognition Software Statistics 2017
Jan:823
Feb:751
Mar:964
Apr:927
May:643
June:637
July:524
Aug:212
Sept:403
Oct:610
Nov:518
Dec:314
Magyar Speech Recognition Software Statistics 2016
Jan:13
Feb:443
Mar:452
Apr:13
May:954
June:340
July:62
Aug:424
Sept:112
Oct:754
Nov:693
Dec:273
Magyar Speech Recognition Software Statistics 2015
Jan:182
Feb:383
Mar:996
Apr:720
May:932
June:290
July:722
Aug:755
Sept:41
Oct:686
Nov:681
Dec:685
Magyar Speech Recognition Software Statistics 2014
Jan:322
Feb:205
Mar:897
Apr:726
May:815
June:415
July:39
Aug:829
Sept:858
Oct:492
Nov:842
Dec:812
Magyar Speech Recognition Software Statistics 2013
Jan:832
Feb:905
Mar:236
Apr:945
May:659
June:930
July:217
Aug:841
Sept:312
Oct:212
Nov:561
Dec:244
Magyar Speech Recognition Software Statistics 2012
Jan:503
Feb:283
Mar:1000
Apr:545
May:969
June:680
July:229
Aug:291
Sept:886
Oct:126
Nov:16
Dec:700
Magyar Speech Recognition Software Statistics 2011
Jan:541
Feb:56
Mar:528
Apr:399
May:548
June:370
July:211
Aug:380
Sept:275
Oct:447
Nov:324
Dec:934
Magyar Speech Recognition Software Statistics 2010
Jan:376
Feb:542
Mar:774
Apr:689
May:755
June:335
July:933
Aug:257
Sept:619
Oct:932
Nov:803
Dec:587
Magyar Speech Recognition Software Statistics 2009
Jan:612
Feb:32
Mar:878
Apr:497
May:159
June:895
July:197
Aug:700
Sept:951
Oct:726
Nov:99
Dec:499
Magyar Speech Recognition Software Statistics 2008
Jan:96
Feb:310
Mar:879
Apr:371
May:757
June:202
July:304
Aug:133
Sept:745
Oct:78
Nov:822
Dec:499
Authentic Method - Ralph Walker Written with input from Jack Scott, Mark Phillips, Ryan Evans, Nicholas Hernandez, Gregory Rodriguez, Benjamin Davis, Stephen Hall, Frank Turner, John Campbell, Steven Hall, Jack King, Nicholas Phillips, Raymond Johnson, Joshua Mitchell, Andrew Allen, Andrew Harris, Anthony Garcia, Dennis Harris, Michael Clark, Paul Hall.
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99.5% Accurate!
LilySpeech is powered by Google Chrome’s amazing speech to text service which is 99.5% accurate. If you’ve been sending text messages with your voice on your Android phone, then you already know how well it works.
Watch the video below to see a demonstration of just how accurate LilySpeech is.
Custom Words
You can customize LilySpeech to recognize custom words. This might be business names, web addresses, the correct spelling of peoples names, industry specific terms. Anything you wish.
Even for people in specialized Industries, LilySpeech shines with its ability to recognize unusual vocabulary.
Lightweight
LilySpeech is an extremely lightweight application which will not slow down your computer or hog your computer’s memory.
This is made possible by the fact that the actual speech-to-text conversion occurs in the cloud and does not use your local machines resources.
See it in Action!
LilySpeech Speech Recognition Demo
LilySpeech is truly a joy to use. Click or press Ctrl+D and start dictating absolutely anything on your computer in real time.
In this demonstration we see:
- Text dictated in real time
- Customization of display in settings
- Various punctuation
The ease of use is amazing and the time savings will have you jumping for joy!