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The people who are speaking during the meet need to be labelled along with the speech part they say, such that we can efficiently prepare a MOM and it has a future scope of recreating the entire event.
The issue expects you to:
Add Jupyter notebooks that use audio-based recognition and distinguish the number of distinct people in audio input.
Adds a label to the identified person, and separates their audio part from the rest in a sequential form, before the speech detection.
Performing some pre-processing on audio files and their need and examples.
These points can be taken as separate problems and hence can be solved in consequent pr's.
The text was updated successfully, but these errors were encountered:
@subhangi2731 I am sorry but I noticed you have already been assigned another issue, You may move ahead with other one and notify me once you want to start here.
The people who are speaking during the meet need to be labelled along with the speech part they say, such that we can efficiently prepare a MOM and it has a future scope of recreating the entire event.
The issue expects you to:
These points can be taken as separate problems and hence can be solved in consequent pr's.
The text was updated successfully, but these errors were encountered: