Comments (2)
And the output results of each run are different.
from rnnoise.
st->rnn.model->vad_gru_state = 4282656
st->rnn.model->noise_gru_state = 4282768
st->rnn.model->denoise_gru_size = 4282976
from rnnoise.
Related Issues (20)
- Potential underflow / overflow when converting from float to int16 HOT 1
- What is the range of the input data?
- rnnoise not filtering this specific noise
- file generated unreadable HOT 3
- Data imbalance problem for Voice Activity Detection output block
- About rnnoise_demo output HOT 1
- New model and default branch has changed from "master" to "main" HOT 4
- Releasing RNNoise version 0.2 HOT 15
- RNNoise v0.2 does not compile on Mac and Linux HOT 8
- Possible to support basic (non-VSX) Altivec?
- Why is a biquad filter needed before denoise? HOT 1
- reference values of training loss
- Control the size of model HOT 1
- Enable Discussions feature and convert "issues" that are not issues to a discussion
- Comparison of lite vs full model in 0.2.0
- Training with already Clean and Noisy Data HOT 2
- How to convert the model to rnnoise_data_little.c HOT 1
- what are the changes to be made if we want too change the FRAME SIZE from 480 to 160? HOT 1
- what are the changes to be made if we want to change the FRAME SIZE from 480 to 160?
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from rnnoise.