This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.
A clear and concise description of what the question is.
I want to perform some sentiment analysis work after speaker diarization. This project looks very promising for my task. It would be really great if you can help me out.
My background
I'm a 4th-year engineering student from India, currently working as a Software Engineering Intern as InterviewBit
Have I read the README.md file?
yes
Have I searched for similar questions from closed issues?
yes
Have I tried to find the answers in the paper Fully Supervised Speaker Diarization?
yes
Have I tried to find the answers in the reference Speaker Diarization with LSTM?
yes
Have I tried to find the answers in the reference Generalized End-to-End Loss for Speaker Verification?
Describe the question
A clear and concise description of what the question is. I want to perform some sentiment analysis work after speaker diarization. This project looks very promising for my task. It would be really great if you can help me out.
My background
I'm a 4th-year engineering student from India, currently working as a Software Engineering Intern as InterviewBit
Have I read the
README.md
file?Have I searched for similar questions from closed issues?
Have I tried to find the answers in the paper Fully Supervised Speaker Diarization?
Have I tried to find the answers in the reference Speaker Diarization with LSTM?
Have I tried to find the answers in the reference Generalized End-to-End Loss for Speaker Verification?