Linghao Yu

Results 3 comments of Linghao Yu

使用了如下的gcc_phat: def gcc_phat(sig, refsig, fs=16000, max_tau=None, interp=1): if torch.is_tensor(sig): sig = sig.numpy() if torch.is_tensor(refsig): refsig = refsig.numpy() n = sig.shape[0] + refsig.shape[0] SIG = np.fft.rfft(sig, n=n) REFSIG = np.fft.rfft(refsig, n=n)...

您好,我在模型中把IN的track_running_state设为了True,在推理时尝试了两种方式 1.model.eval() with torch.no_grad() Average WB-PESQ: 2.190 Average NB-PESQ: 2.903 Average STOI: 91.167 Average SISNR: 12.363 2.仅用了with torch.no_grad() Average WB-PESQ: 2.837 Average NB-PESQ: 3.336 Average STOI: 96.108 Average SISNR: 16.751...