This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.
For single file, it works fine.
Now I'm trying to process lots of files, for example 10000 audio files.
I made a script for loop processing, but it is loading diarization model in each calling.
I tried to change it to pre-load model, but not worked.
ValueError: Tensor Tensor("lambda_1/l2_normalize:0", shape=(?, 512), dtype=float32) is not an element of this graph.
Is there a way for it? Thanks for anyone, any help.
For single file, it works fine. Now I'm trying to process lots of files, for example 10000 audio files. I made a script for loop processing, but it is loading diarization model in each calling. I tried to change it to pre-load model, but not worked.
Is there a way for it? Thanks for anyone, any help.