LIUM | Scripts for LIUM SpkDiarization tools | Speech library
kandi X-RAY | LIUM Summary
kandi X-RAY | LIUM Summary
A demo on LIUM ILP clustering. LIUM_SpkDiarization is a software dedicated to speaker diarization (ie speaker segmentation and clustering), developed by Laboratoire d’Informatique de l’Université du Maine (LIUM - EA 4023).
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QUESTION
I've got 1,000+ very long matlab
vectors (varying lengths ~ 10^8 samples) representing data from different patients and sources.
I wish to compactly organize them in one file for a later convenient access in python
.
I want each sample to somehow hold additional information (patient ID, sampling freq etc.).
Order should be:
...ANSWER
Answered 2020-Jan-01 at 21:38Regarding the format that you have given above, you may want to store the vectors in a matrix. For patients sample with hospital: 2 ,pat_ID: 3455679, age: 34, high_blood_pressure: NO(0 binary), you could store it as "patient ID", "Hospital number","age","high_blood_pressure"... as 2,3455679,34,0,...
QUESTION
How can I know which speaker spoke for how much time by using LIUM Speaker Diarization toolkit?
For example, this is my .seg file.
...ANSWER
Answered 2019-Sep-25 at 21:00In this line
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