Comments (5)
snsun
commented on August 13, 2024
Hi, I am sorry that I can not share the WSJ data to you because of the restrictions. Actually, you are not necessary to use the same corpus, you can use any data set you have to produce mixed speech with a little modification of the matlab scripts.
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gao-shi
commented on August 13, 2024
Never mind. Thank you for your reply
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gao-shi
commented on August 13, 2024
Hi，what should i do after i generate mixed wav files and use gen_tfrecords.py to create tfrecords？ Can i contact you more effectively?
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snsun
commented on August 13, 2024
We can use wechat. Send me your wechat id by your personal email.
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bailiangze
commented on August 13, 2024
hello ，i have some question，能联系你吗？我的qq是851566168
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Related Issues (20)
- there is a small error HOT 1
- Can I add you wechat to discuss this work?
- How to convert feats_mapping.lst to tfrecords? HOT 4
- a littile HOT 2
- tensorflow.python.framework.errors_impl.InvalidArgumentError: Dimensions must be equal, but are 1488 and 992 for 'model/blstm/stack_bidirectional_rnn/cell_0/bidirectional_rnn/fw/fw/while/fw/basic_lstm_cell/MatMul_2' (op: 'MatMul') with input shapes: [25,1488], [992,1984]. HOT 2
- A problem when preparing my own data for TFRecords format. HOT 3
- Hello, I have a question... HOT 1
- Is this repo for training or training+speech separation? HOT 1
- Contact
- Dataset structure
- Have you ever faced the problem that two masks always turns to equal during the training HOT 5
- run.sh HOT 1
- what‘s meta-frame's meaning? HOT 1
- I have some problems with executing code. HOT 1
- How to separate the target speech? HOT 5
- dataset
- list index out of range
- wv version of wsj0 dataset
- Code clarity: Permutation for minimum loss HOT 2
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