x-vector-pytorch
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Implementation of the paper "Spoken Language Recognition using X-vectors" in Pytorch
Hi, Can you share the drive of your dataset ? i dont have the dataset for the indian languages. thanks, Satish
I wonder why in forward step, it returns the tdnn1_out. I suppose it should be commented else the model training will not work? def forward(self, inputs): tdnn1_out = self.tdnn1(inputs) **return...
In "aishell"and "Merged_Arabic_Corpus_of_Isolated_Words" datasets, the predicted results looks like a random guess when training, and will always get a same result when validation. Have you encountered this problem? Thanks. """...
hi, i have a question .i use windows to run you code ,how to achieve you dataset ? because i see you dataset is .txt
8语种准确率大概能到多少
In 'train' mode you make exactly [400,257] data frames. In other mode you make [x,257] data frames, where x - length of mag phase spectrogramm. ``` if mode=='train': randtime =...
In file training_xvector.py codeline 46 ``` dataloader_val = DataLoader(dataset_train, batch_size=args.batch_size,shuffle=True,collate_fn=speech_collate) ``` You use dataset_TRAIN dataset for validation. This is clearly copy-paste error.
Dear sir, Would you please offer the inference function? thanks!