Comments (4)
Yes, I did mean streaming. I'll give it a shot. Thanks!
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Hi, @kyungjin-lee
Yes, but it depends on what you mean by saying “real-time”.
On V100 GPU, I checked that the inferencing time is shorter than the length of the audio. However, if you meant streaming, you will have to change BiLSTM to unidirectional LSTM, and some other things should be changed. Model should be trained again if then of course.
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If CNN input only one frame of data at a time, will the effect be very bad?
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Yes, I did mean streaming. I'll give it a shot. Thanks!
Did you have any luck with this? I am also interested in a real-time application of this.
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Related Issues (20)
- Question about normalize-resample.sh HOT 4
- Question when preprocessing wav files HOT 1
- Question when training VoiceFilter HOT 1
- Question about utils/evaluation.py HOT 2
- Need to try power-law compression loss HOT 2
- embedder.pt with new dataset HOT 4
- Can you get the initial mean SDR on LibriSpeech using Google's test list? HOT 8
- hop_length and win_length
- the model implementation comprehension HOT 1
- inference
- Can I get the pretrained model please! I so dearly need it for my project, here's my email just in case, [email protected] HOT 1
- Training setting problem HOT 6
- Is the VoiceFilter model checkpoint available to be used directly? HOT 1
- question about ffmpeg-normalize
- Question about wav2spec function in utils/audo.py
- Cannot reproduce reported SDR & retrain the speaker embedding
- how to work for multi noise
- What is the term spk refers to in the below code ? line 127
- how to create file embedder HOT 5
- Question about start point of SDR HOT 4
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