I'll try this again later. I've ordered pizza for dinner and should come soon.

This meme should've died months ago.

Pizza pizza

Oh, I never knew I can do that.

Alright, I'm back from dinner. I did it just right this time, and I got the list index error...

@hecko You know how to fix this?

--------------------------------------------------------------------------- IndexError Traceback (most recent call last) in 126 dirs = [x for x in os.scandir(target_path)] 127 if len(dirs) == 1: --> 128 with open(sorted(glob.glob(os.path.join(dirs[0].path, "*.txt")))[0]) as f: 129 already_multispeaker = (len(f.readline().split("|")) == 3) 130 IndexError: list index out of range

Error in the transcript

I don't get it.

Here, take a look and see what's wrong.

Idk what's causing this to happen.

If there's a blank line or invisible characters I'm not seeing it.

Nope, nothing invisible.

Not even a single indent after the last wav line, nor first

dont enable auto linkbreak on you editor, could be that one of the lines got cut in half with nee line

Linkbreak?

Hey @CmanflipYT what’s up?

Ok off topic, but hi.

How’s it going?

good

I’m Kelly and it’s nice to meet you.

Now does anyone have a better thought on fixing the list index error?

TypeError Traceback (most recent call last) c:\xampp\htdocs\darts\dos.com\tacotron2-master\ttc.py in 8 # Initialize the hparams and TacotronSTFT objects 9 hparams = create_hparams() ---> 10 taco_stft = TacotronSTFT(hparams) 11 12 # Load the trained Tacotron2 model from the local hard drive c:\xampp\htdocs\darts\dos.com\tacotron2-master\layers.py in init(self, filter_length, hop_length, win_length, n_mel_channels, sampling_rate, mel_fmin, mel_fmax) 47 self.n_mel_channels = n_mel_channels 48 self.sampling_rate = sampling_rate ---> 49 self.stft_fn = STFT(filter_length, hop_length, win_length) 50 mel_basis = librosa_mel_fn( 51 sampling_rate, filter_length, n_mel_channels, mel_fmin, mel_fmax) c:\xampp\htdocs\darts\dos.com\tacotron2-master\stft.py in init(self, filter_length, hop_length, win_length, window) 50 self.window = window 51 self.forward_transform = None ---> 52 scale = self.filter_length / self.hop_length 53 fourier_basis = np.fft.fft(np.eye(self.filter_length)) 54 TypeError: unsupported operand type(s) for /: 'HParams' and 'int'

any helpppp

Okay, I seem to have passed the list index error, but...what now?

It thinks there's no transcript file, but I literally have a list.txt file in the zip file.

Idk if that's intentional or if I should be good?

Nope, guess not.

Well, this getting too hard. I should just give up for now

I knew using pipeline training is harder to use than legacy