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import os | |
import noisereduce as nr | |
import soundfile as sf | |
# from moviepy.editor import * | |
import string | |
import json | |
from glob import glob | |
import torchaudio | |
import subprocess | |
import shutil | |
import pyloudnorm as pyln | |
import torch | |
from TTS.api import TTS | |
import string | |
def remove_punctuation(sentence): | |
translator = str.maketrans('', '', string.punctuation) | |
sentence = sentence.translate(translator) | |
# Remove line breaks | |
sentence = sentence.replace('\n', ' ').replace('\r', '') | |
return sentence | |
def run_audio_generation_v1(new_text,accent='None'): | |
new_text = new_text.replace('\n', ' ').replace('\r', '') | |
new_text_mod = remove_punctuation(new_text) | |
new_text_split = new_text_mod.split() | |
for word in new_text_split: | |
if len(word)>=2 and word.isupper(): | |
new_text = new_text.replace(word, " ".join([*word])) | |
models = TTS().list_models() | |
with open('models.txt', 'w') as f: | |
f.writelines(f"{model}\n" for model in models) | |
gpu = True if torch.cuda.is_available() else False | |
tts = TTS("tts_models/multilingual/multi-dataset/xtts_v2", gpu=gpu) # gpu should be true when server (cuda) | |
# if not gpu: | |
# pre-process story audio file | |
# convert to 16 bit mono | |
# remove noise | |
speaker_wav_data, speaker_wav_rate = sf.read("./tmp/audio/input_src/0.wav") | |
speaker_wav_data_no_noise = nr.reduce_noise(y=speaker_wav_data, sr=speaker_wav_rate) | |
sf.write('./tmp/audio/speaker_wav.wav', speaker_wav_data_no_noise, speaker_wav_rate, subtype='PCM_16') | |
tts.tts_to_file( | |
new_text, | |
speaker_wav="./tmp/audio/speaker_wav.wav", | |
language="en", | |
file_path="./tmp/audio/generated-custom.wav" | |
) |