Normalising voice recording from participant to be used in next stage
Is there some way within OpenSesame to normalise the participant's voice recording (for example to 80Hz) and then put it straight back into the experiment to be used as the input/ variable to the next stage? Basically, I would like them to record their voice saying a word, have this recording automatically normalised within the program and then use this normed recording as the sound file input to a sampler item. Is this possible all within OpenSesame or would I need to tweak the recording using an external program such as Audacity?
Apologies if something similar has been asked before - I'm not great at understanding in-line code scripts and the technical side of things!
Comments
Hi,
That is possible. You do need external Python packages though. If you know your signal processing, scipy might be sufficient. If you need some more higher level packages might be useful (see here). In any case, in Opensesame, you first need to record the voice, then start the processing, save the file, which you then can load in a sampler.
Does that make sense?
Eduard