method about metricgan HOT 8 OPEN

Dear Szu-Wei Fu I am a student from harbin institute of technology. I am doing research on speech enhancement. Recently, i am reading your paper Metric GAN speech enhancement. I want to consult some issues (1) how many parameters for G and D networks, respectively? (2) G network use BLSTM netowork, so it is a non-causal system, right? Thank you very much for your help! I am looking forward to your reply. Best, Qiquan Zhang, HIT [email protected] From: Szu-Wei Fu Date: 2019-11-07 15:17 To: JasonSWFu/MetricGAN CC: George_Zhang; Author Subject: Re: [JasonSWFu/MetricGAN] method (#5) Yes — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub, or unsubscribe.

Dear Szu-Wei Fu, We are making comparison with MetricGAN on the DEMAND database. For results of metrics, we use the value reported in the paper. But, we want to do a comparison on spectrograms of speech. So, could you supply the enhanced speech or pre-trained model for us? Thank you very much for your help！ Best, Qiquan Zhang Harbin Institute of Technology [email protected] From: Szu-Wei Fu Date: 2019-12-02 14:14 To: JasonSWFu/MetricGAN CC: George_Zhang; Author Subject: Re: [JasonSWFu/MetricGAN] method (#5) Hi Qiquan, After checking model.summary(), the number of parameters for G and D are 1,892,057 and 690,855, respectively. Yes, it is non-causal. Sincerely, Szu-Wei — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub, or unsubscribe.