| import os |
| from random import shuffle |
|
|
| import torchaudio |
|
|
| from api import TextToSpeech |
| from utils.audio import load_audio |
|
|
|
|
| def permutations(args): |
| res = [] |
| k = next(iter(args.keys())) |
| vals = args[k] |
| del args[k] |
| if not args: |
| return [{k: v} for v in vals] |
| lower = permutations(args) |
| for v in vals: |
| for l in lower: |
| lc = l.copy() |
| lc[k] = v |
| res.append(lc) |
| return res |
|
|
|
|
| if __name__ == '__main__': |
| fname = 'Y:\\clips\\books2\\subset512-oco.tsv' |
| stop_after = 512 |
| outpath_base = 'D:\\tmp\\tortoise-tts-eval\\sweep-2' |
| outpath_real = 'D:\\tmp\\tortoise-tts-eval\\real' |
|
|
| arg_ranges = { |
| 'top_p': [.8,1], |
| 'temperature': [.8,.9,1], |
| 'diffusion_temperature': [.8,1], |
| 'cond_free_k': [1,2,5,10], |
| } |
| cfgs = permutations(arg_ranges) |
| shuffle(cfgs) |
|
|
| for cfg in cfgs: |
| cfg_desc = '_'.join([f'{k}-{v}' for k,v in cfg.items()]) |
| outpath = os.path.join(outpath_base, f'{cfg_desc}') |
| os.makedirs(outpath, exist_ok=True) |
| os.makedirs(outpath_real, exist_ok=True) |
| with open(fname, 'r', encoding='utf-8') as f: |
| lines = [l.strip().split('\t') for l in f.readlines()] |
|
|
| recorder = open(os.path.join(outpath, 'transcript.tsv'), 'w', encoding='utf-8') |
| tts = TextToSpeech() |
| for e, line in enumerate(lines): |
| if e >= stop_after: |
| break |
| transcript = line[0] |
| path = os.path.join(os.path.dirname(fname), line[1]) |
| cond_audio = load_audio(path, 22050) |
| torchaudio.save(os.path.join(outpath_real, os.path.basename(line[1])), cond_audio, 22050) |
| sample = tts.tts(transcript, [cond_audio, cond_audio], num_autoregressive_samples=32, repetition_penalty=2.0, |
| k=1, diffusion_iterations=32, length_penalty=1.0, **cfg) |
| down = torchaudio.functional.resample(sample, 24000, 22050) |
| fout_path = os.path.join(outpath, os.path.basename(line[1])) |
| torchaudio.save(fout_path, down.squeeze(0), 22050) |
| recorder.write(f'{transcript}\t{fout_path}\n') |
| recorder.flush() |
| recorder.close() |
