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| import librosa | |
| import numpy as np | |
| import av | |
| from io import BytesIO | |
| import ffmpeg | |
| import os | |
| import sys | |
| import random | |
| from lib.infer.infer_libs.csvutil import CSVutil | |
| #import csv | |
| platform_stft_mapping = { | |
| 'linux': 'stftpitchshift', | |
| 'darwin': 'stftpitchshift', | |
| 'win32': 'stftpitchshift.exe', | |
| } | |
| stft = platform_stft_mapping.get(sys.platform) | |
| def wav2(i, o, format): | |
| inp = av.open(i, 'rb') | |
| if format == "m4a": format = "mp4" | |
| out = av.open(o, 'wb', format=format) | |
| if format == "ogg": format = "libvorbis" | |
| if format == "mp4": format = "aac" | |
| ostream = out.add_stream(format) | |
| for frame in inp.decode(audio=0): | |
| for p in ostream.encode(frame): out.mux(p) | |
| for p in ostream.encode(None): out.mux(p) | |
| out.close() | |
| inp.close() | |
| def audio2(i, o, format, sr): | |
| inp = av.open(i, 'rb') | |
| out = av.open(o, 'wb', format=format) | |
| if format == "ogg": format = "libvorbis" | |
| if format == "f32le": format = "pcm_f32le" | |
| ostream = out.add_stream(format, channels=1) | |
| ostream.sample_rate = sr | |
| for frame in inp.decode(audio=0): | |
| for p in ostream.encode(frame): out.mux(p) | |
| out.close() | |
| inp.close() | |
| def load_audion(file, sr): | |
| try: | |
| file = ( | |
| file.strip(" ").strip('"').strip("\n").strip('"').strip(" ") | |
| ) # 防止小白拷路径头尾带了空格和"和回车 | |
| with open(file, "rb") as f: | |
| with BytesIO() as out: | |
| audio2(f, out, "f32le", sr) | |
| return np.frombuffer(out.getvalue(), np.float32).flatten() | |
| except AttributeError: | |
| audio = file[1] / 32768.0 | |
| if len(audio.shape) == 2: | |
| audio = np.mean(audio, -1) | |
| return librosa.resample(audio, orig_sr=file[0], target_sr=16000) | |
| except Exception as e: | |
| raise RuntimeError(f"Failed to load audio: {e}") | |
| def load_audio(file, sr, DoFormant=False, Quefrency=1.0, Timbre=1.0): | |
| converted = False | |
| DoFormant, Quefrency, Timbre = CSVutil("lib/csvdb/formanting.csv", "r", "formanting") | |
| DoFormant, Quefrency, Timbre = bool(DoFormant), float(Quefrency), float(Timbre) | |
| try: | |
| file = file.strip(" ").strip('"').strip("\n").strip('"').strip(" ") | |
| if not file.endswith(".wav"): | |
| converted = True | |
| # Conversión de formato usando ffmpeg | |
| converting = ( | |
| ffmpeg.input(file, threads=0) | |
| .output(f"{file}.wav") | |
| .run(cmd=["ffmpeg", "-nostdin"], capture_stdout=True, capture_stderr=True) | |
| ) | |
| file = f"{file}.wav" | |
| print(f" · File converted to Wav format: {file}\n") | |
| if DoFormant == False: | |
| # Procesamiento de formantes usando stftpitchshift | |
| command = ( | |
| f'{stft} -i "{file}" -q "{Quefrency}" ' | |
| f'-t "{Timbre}" -o "{file}FORMANTED.wav"' | |
| ) | |
| os.system(command) | |
| file = f"{file}FORMANTED.wav" | |
| print(f" · Formanted {file}!\n") | |
| with open(file, "rb") as f: | |
| with BytesIO() as out: | |
| audio2(f, out, "f32le", sr) | |
| audio_data = np.frombuffer(out.getvalue(), np.float32).flatten() | |
| if converted: | |
| try: os.remove(file) | |
| except Exception as e: pass; print(f"Couldn't remove converted type of file due to {e}") | |
| converted = False | |
| return audio_data | |
| except AttributeError: | |
| audio = file[1] / 32768.0 | |
| if len(audio.shape) == 2: | |
| audio = np.mean(audio, -1) | |
| return librosa.resample(audio, orig_sr=file[0], target_sr=16000) | |
| except Exception as e: | |
| raise RuntimeError(f"Failed to load audio: {e}") | |
| def check_audio_duration(file): | |
| try: | |
| file = file.strip(" ").strip('"').strip("\n").strip('"').strip(" ") | |
| probe = ffmpeg.probe(file) | |
| duration = float(probe['streams'][0]['duration']) | |
| if duration < 0.76: | |
| print( | |
| f"Audio file, {file.split('/')[-1]}, under ~0.76s detected - file is too short. Target at least 1-2s for best results." | |
| ) | |
| return False | |
| return True | |
| except Exception as e: | |
| raise RuntimeError(f"Failed to check audio duration: {e}") |