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View Code? Open in Web Editor NEWQuality-Net: An End-to-End Non-intrusive Speech Quality Assessment Model based on BLSTM. (Interspeech, 2018, with Travel Grants)
Quality-Net: An End-to-End Non-intrusive Speech Quality Assessment Model based on BLSTM. (Interspeech, 2018, with Travel Grants)
Would you please provide PESQ scoring tool? I will try to use your method to implement a speech enhancement network, and if my trial worked, I will provide detail information about my work. Looking forward to your reply.
Can you provide the clean, noisy and enhanced dataset so that I can retrain your model or provide the .hdf5 and .json file with a prediction file so that I can directly test my dataset on your model.
Hi, recently I'm reading this paper. I feel this work is very outstanding, so I want to implement this, until I find this repository.
But when I want to run your code, I find I could not known about the data fed into the model, so can you share the shape of your training data and the label of the training? I will very appreciated.
Hi, thanks for your code and article. I am trying to run Quality_net_training_Non_intrusive.py but I don't understand where I can get the pesq scores from. Can I use the pypesq package or there is another way to calculate them? I did not understand how read_pesq from MetricGAN
works, nor how the files should look like.
Can you please elaborate, or upload the data you used?
Thank you very much,
David
Could you provide the training and testing dataset, thank you in advance
Hi
Thank you very much for providing this project. Can this project be used to evaluate the speech quality after front-end signal processing (AEC--Acoustic Echo Canceller, NS --noise suppression , AGC - automatic gain control)?
Thanks!
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