Difference between revisions of "Speech database"

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The procedure outlined here uses utilities in the Berkeley Phonetic Machine, to produce time aligned TextGrids for recorded utterances in English.
 
The procedure outlined here uses utilities in the Berkeley Phonetic Machine, to produce time aligned TextGrids for recorded utterances in English.
   
  +
==Transcript==
1. create text transcripts of the words spoken in a sound file. Most plain text editors will be fine for this.
+
Create text transcripts of the words spoken in a sound file. Most plain text editors will be fine for this.
   
One potential complication is that plain text on windows may be saved "end of line"
+
* One potential complication is that plain text on windows may be saved "end of line"
 
characters that are not compatible with <make_text_grids>, the perl utility that parses
 
characters that are not compatible with <make_text_grids>, the perl utility that parses
 
transcripts and passes them to <pyalign.py>. You can use the unix utility _d2u_ to
 
transcripts and passes them to <pyalign.py>. You can use the unix utility _d2u_ to

Revision as of 15:35, 26 May 2017

The procedure outlined here uses utilities in the Berkeley Phonetic Machine, to produce time aligned TextGrids for recorded utterances in English.

Transcript

Create text transcripts of the words spoken in a sound file. Most plain text editors will be fine for this.

* One potential complication is that plain text on windows may be saved "end of line" 
characters that are not compatible with <make_text_grids>, the perl utility that parses 
transcripts and passes them to <pyalign.py>.  You can use the unix utility _d2u_ to 
change the line endings (this is a separate download into your instance of the BPM).