librosa error on stage 2 of gaussian run.sh ParameterError: Audio data must be floating-point

[Barigamb738]

This is the error i'm getting. C:\Users\fille\Documents\GitHub\wavenet_vocoder\audio.py:38: FutureWarning: Pass orig_sr=44100, target_sr=22050 as keyword args. From version 0.10 passing these as positional arguments will result in an error x = librosa.resample(x, sr, hparams.sample_rate) concurrent.futures.process._RemoteTraceback: """ Traceback (most recent call last): File "C:\Users\fille\AppData\Local\Programs\Python\Python37\lib\concurrent\futures\process.py", line 232, in _process_worker r = call_item.fn(call_item.args, call_item.kwargs) File "C:\Users\fille\Documents\GitHub\wavenet_vocoder\datasets\wavallin.py", line 31, in _process_utterance wav = audio.load_wav(wav_path) File "C:\Users\fille\Documents\GitHub\wavenet_vocoder\audio.py", line 38, in load_wav x = librosa.resample(x, sr, hparams.sample_rate) File "C:\Users\fille\AppData\Local\Programs\Python\Python37\lib\site-packages\librosa\util\decorators.py", line 104, in inner_f return f(kwargs) File "C:\Users\fille\AppData\Local\Programs\Python\Python37\lib\site-packages\librosa\core\audio.py", line 576, in resample util.valid_audio(y, mono=False) File "C:\Users\fille\AppData\Local\Programs\Python\Python37\lib\site-packages\librosa\util\decorators.py", line 88, in inner_f return f(args, **kwargs) File "C:\Users\fille\AppData\Local\Programs\Python\Python37\lib\site-packages\librosa\util\utils.py", line 275, in valid_audio raise ParameterError("Audio data must be floating-point") librosa.util.exceptions.ParameterError: Audio data must be floating-point """

The above exception was the direct cause of the following exception:

Traceback (most recent call last): File "C:/Users/fille/Documents/GitHub/wavenet_vocoder/egs/gaussian/../..//preprocess.py", line 71, in preprocess(mod, in_dir, out_dir, num_workers) File "C:/Users/fille/Documents/GitHub/wavenet_vocoder/egs/gaussian/../..//preprocess.py", line 24, in preprocess metadata = mod.build_from_path(in_dir, out_dir, num_workers, tqdm=tqdm) File "C:\Users\fille\Documents\GitHub\wavenet_vocoder\datasets\wavallin.py", line 26, in build_from_path return [future.result() for future in tqdm(futures)] File "C:\Users\fille\Documents\GitHub\wavenet_vocoder\datasets\wavallin.py", line 26, in return [future.result() for future in tqdm(futures)] File "C:\Users\fille\AppData\Local\Programs\Python\Python37\lib\concurrent\futures_base.py", line 432, in result return self.get_result() File "C:\Users\fille\AppData\Local\Programs\Python\Python37\lib\concurrent\futures_base.py", line 384, in get_result raise self._exception librosa.util.exceptions.ParameterError: Audio data must be floating-point

What do I do?

This is the logs before: $ sh ./egs/gaussian/run.sh --stage 0 --stop-stage 2 stage 0: train/dev/eval split Total number of utterances: 1367 130it [00:00, 1297.74it/s]Total hours 0.201 exceeded limit (0.2 hours). 226it [00:00, 1385.03it/s] Total number of collected utterances: 227 100%|██████████████████████████████████████████████████████████████████████████████████████████████████| 207/207 [00:01<00:00, 185.37it/s] 100%|████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 146.81it/s] 100%|████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 153.85it/s] Waveform min: [-2.14748365e+09] Waveform max: [2.14741811e+09] Waveform absolute max: 2147483648.0 There were clipping(s) in your dataset. Global scaling factor would be around 4.656612873077393e-10 Train/dev/test split: train_no_dev: 0.18 hours (207 utt) dev: 0.01 hours (10 utt) eval: 0.01 hours (10 utt) stage 1: Feature Generation Sampling frequency: 22050 0%| | 0/207 [00:00<?, ?it/s]

[Barigamb738]

fixed

[LISCARqaq]

@Barigamb738 Hi, how do you fix it? I got the same issue.

[Barigamb738]

I'm really sorry but I don't remember