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Important to note that we cannot assume geom_wave can (always) be mapped to participant. Since audio data is frequently stereo (=two channels) but not channel-separated (=one speaker per channel), it will not always be possible to position geom_wave over the turn. So it will sometimes appear in a layer that shares the time scale but not the participant aesthetic.
Also see #55, which provides another reason to think of geom_wave as not necessarily inheriting the participant aesthetic.
Note that audio data might be actual .wav files but as @liesenf points out, more likely is plottable data in the source csv file, e.g. as generated by scikit-talk. Related issue here elpaco-escience/scikit-talk#23 (thanks @bvreede)
If audio data is present,
geom_wave
would plot a spectrogram over the utterances.The text was updated successfully, but these errors were encountered: