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import os |
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import noisereduce as nr |
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import soundfile as sf |
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import string |
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import json |
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from glob import glob |
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import torchaudio |
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import subprocess |
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import shutil |
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import pyloudnorm as pyln |
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import torch |
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from TTS.api import TTS |
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def run_audio_generation_v1(text,accent='None'): |
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gpu = True if torch.cuda.is_available() else False |
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tts = TTS("tts_models/multilingual/multi-dataset/xtts_v2", gpu=gpu) |
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speaker_wav_data, speaker_wav_rate = sf.read("./tmp/audio/input_src/0.wav") |
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speaker_wav_data_no_noise = nr.reduce_noise(y=speaker_wav_data, sr=speaker_wav_rate) |
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sf.write('./tmp/audio/speaker_wav.wav', speaker_wav_data_no_noise, speaker_wav_rate, subtype='PCM_16') |
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tts.tts_to_file( |
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text, |
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speaker_wav="./tmp/audio/speaker_wav.wav", |
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language="en", |
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file_path="audio/output.wav" |
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) |