This week you will discuss how to annotate video recorded dialogue and you will practice on this video → Link to tutorial7-dialogue-video.mov
First of all come up with a plan how you
would annotate speech in general:
1. What is the purpose of my annotation? e.g.
Do I need annotations of my data for therapeutic reasons?
Do I need annotations of my data for subtitles in a film?
Do I need annotations of my data to teach a machine, computer, speech recognition?
2. What are the differences between the
above mentioned purposes? e.g.
Orthographic vs. phonetic annotations.
Broad vs. narrow annotations.
When do we need to annotate background noise?
Distinguishing speech from other human noise.
Can we annotate all information in our speech data?
Next, go back to your video and think how you would annotate this specific data.
3. What do we need to consider when we
annotate tutorial7-dialogue-video.mov? e.g.
How many labels will you need?
What will your set of labels look like?
How do you annotate speech when both participants talk at the same time?
How do you label laughter?
Do we need to annotate silence in dialogue?
Will we have to come up with a different annotation plan for each different communication channel we can find in video data, e.g. for speech, gesture, etc.?
During the tutorial you will discuss
annotation schemes you could use. You will think of labels you can
create to mark all communication events in your video data.
For help
and annotation you can find an annotation scheme here (link to http://www.phonetik.uni-muenchen.de/Forschung/SmartKom/Konengl/engltrans/engltrans.html).
This is a transliteration manual/annotation scheme use in the project
SmartKom for German language but with English explanation.
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