Open spsither opened 10 months ago
i think it is related to RFW0114. if we decide on the different sub category or filter within the departments, we can evaluate according to that.
Further ideas: Do speaker classification among the class in the Google Sheet. We can do clustering to get speaker-based classes.
RFW0115: Evaluate model results in more detail for STT_NS using speaker ID
Summary
Evaluate model performance on different categories within STT_NS using the segment ID and the speaker metadata Google Sheet
Key Concepts
STT_NS: Natural Speech Department in Speech To Text
Context
Use the speaker metadata Google sheet and get a more detailed breakdown of model performance within STT_NS.
Outputs
Detailed Report for the model performance in the STT_NS department. When there is more than one speaker in an audio file, we can use a common profile between the speakers and use that as the metadata.
Inputs
Benchmark dataset. Speaker metadata Google Sheet STT Model
Timeline
4 days