From e95a18db023b455efd2c2a7269bbcbb18bc1d8d8 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Stardust=C2=B7=E5=87=8F?= <2225664821@qq.com> Date: Mon, 21 Aug 2023 07:50:45 +0800 Subject: [PATCH] Update data_utils.py --- data_utils.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/data_utils.py b/data_utils.py index bf52ba6..1f4121d 100644 --- a/data_utils.py +++ b/data_utils.py @@ -99,10 +99,10 @@ class TextAudioSpeakerLoader(torch.utils.data.Dataset): mel from existing linear spec (uncomment below lines) ''' if os.path.exists(filename.replace(".wav", ".spec.pt")): #spec, n_fft, num_mels, sampling_rate, fmin, fmax - spec = spec_to_mel_torch( - torch.load(filename.replace(".wav", ".spec.pt")), - self.filter_length, self.n_mel_channels, self.sampling_rate, - self.hparams.mel_fmin, self.hparams.mel_fmax) + #spec = spec_to_mel_torch( + #torch.load(filename.replace(".wav", ".spec.pt")), + #self.filter_length, self.n_mel_channels, self.sampling_rate, + #self.hparams.mel_fmin, self.hparams.mel_fmax) spec = mel_spectrogram_torch(audio_norm, self.filter_length, self.n_mel_channels, self.sampling_rate, self.hop_length, self.win_length, self.hparams.mel_fmin, self.hparams.mel_fmax, center=False)