Comments (1)
i use the onnx model to inference,but it has a Very high CPU usage. so i want to know how to hava a low cput usage?
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Related Issues (20)
- Dimension mismatch error for real_time_dtln_audio.py HOT 1
- PESQ and STOI calculator HOT 1
- Can DTLN be combined with AEC in real time communication? HOT 1
- How to modify DTLN_model.py files to support the latest tensorflow 2.9
- ValueError: Unexpected result of `train_function` (Empty logs). HOT 1
- Validation loss is too high HOT 1
- Creating integer only models HOT 11
- About one model HOT 1
- Using convert_weights_to_tf_lite.py did not produce the same results as the pre-training model. HOT 3
- Are my val_loss values valid? HOT 2
- Is it necessary to apply a window after fft? HOT 1
- The length of the audio after noise reduction is shortened HOT 3
- Multiple voices (far and near), in this issue,how to separate
- Can the calculation estimated_complex be modified? HOT 1
- Integer two tflite.
- error: 'tf.TensorListSetItem' op is neither a custom op nor a flex op while trying to quantize the model into int8 HOT 4
- Which onnx does the DTLN_norm_500h.h5 file correspond to?
- about problem of adding win function frame
- Why there is 384 latency?
- Make DTLN as one model? HOT 1
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