This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.
if i enable gpu args.enable_cuda=True by default it use 'cuda:0' but i have multiple gpu on my pc
so i think we can make an argument or environment variable CUDA_VISIBLE_DEVICES to chose manually.
My background
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
if i enable gpu
args.enable_cuda=True
by default it use 'cuda:0' but i have multiple gpu on my pc so i think we can make an argument or environment variableCUDA_VISIBLE_DEVICES
to chose manually.My background
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?