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:telescope: Speaker diarization via transfer learning
https://medium.com/ubc-launch-pad-software-engineering-blog/speaker-diarisation-using-transfer-learning-47ca1a1226f4
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Convert Training Observations to Feature Vectors
#64
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chadlagore
closed
6 years ago
chadlagore
commented
7 years ago
TODO
This is an bit of a detour, but it may speed up our training.
In our raw training set, observations are just raw audio binary (hundreds of "feature" columns).
The goal is to transform the raw binary into feature vectors (
python_speech_features
).
This should reduce the number of columns by an order of magnitude, and for
some
models, improve accuracy.
Use the
collector
module!
TODO
python_speech_features
).Use the
collector
module!