— Audio annotation with Praat

Introduction

Our main efforts so far on audio analysis has been focused on our automated audio processing pipeline. However, there are also interesting possibilities for annotating audio manually using Praat, as well as using Praat for feature extraction and search. We invite users of Praat to add examples and use cases.

Related scrolls

• How to annotate with ELAN
• Audio processing pipeline
• What kind of Red Hen are you?

Speech rate detection

To explore audio features and to annotate the corpus with audio information, Praat has a wealth of capabilities. Here is a working example from speechrate, run against a wav file created using clip on a video file. The arguments are Show text grid no, Silence threshold -25, Minimum dip between peaks 3 dB, Minimum pause duration 0.3 seconds:

csa@cartago:~/praat$ praat syllableCount.praat no -25 3 0.3 wav

soundname, nsyll, npause, dur (s), phonationtime (s), speechrate (nsyll/dur), articulation rate (nsyll / phonationtime), ASD (speakingtime/nsyll)

2014-12-17_2200_US_AlJazeera_Inside_Story, 6883, 266, 1792.51, 1653.18, 3.84, 4.16, 0.240

So that works -- 6883 syllables, 266 pauses, 1792.51 seconds, 1653.18 phonation time, 3.84 syllables/second speech rate, 4.16 syllables/second articulation rate (?), 0.240 speaking time per syllable. Not what we want of course, but it demonstrates we're not that far away.