import librosa import numpy as np import av from io import BytesIO import ffmpeg import os import sys import random from infer.lib.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("csvdb/formanting.csv", "r", "formanting") try: # https://github.com/openai/whisper/blob/main/whisper/audio.py#L26 # This launches a subprocess to decode audio while down-mixing and resampling as necessary. # Requires the ffmpeg CLI and `ffmpeg-python` package to be installed. 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 file_formanted = file.strip(" ").strip('"').strip("\n").strip('"').strip(" ") # print(f"dofor={bool(DoFormant)} timbr={Timbre} quef={Quefrency}\n") if ( lambda DoFormant: True if DoFormant.lower() == "true" else (False if DoFormant.lower() == "false" else DoFormant) )(DoFormant): numerator = round(random.uniform(1, 4), 4) # os.system(f"stftpitchshift -i {file} -q {Quefrency} -t {Timbre} -o {file_formanted}") # print('stftpitchshift -i "%s" -p 1.0 --rms -w 128 -v 8 -q %s -t %s -o "%s"' % (file, Quefrency, Timbre, file_formanted)) if not file.endswith(".wav"): if not os.path.isfile(f"{file_formanted}.wav"): converted = True # print(f"\nfile = {file}\n") # print(f"\nfile_formanted = {file_formanted}\n") converting = ( ffmpeg.input(file_formanted, threads=0) .output(f"{file_formanted}.wav") .run( cmd=["ffmpeg", "-nostdin"], capture_stdout=True, capture_stderr=True, ) ) else: pass file_formanted = ( f"{file_formanted}.wav" if not file_formanted.endswith(".wav") else file_formanted ) print(f" · Formanting {file_formanted}...\n") os.system( '%s -i "%s" -q "%s" -t "%s" -o "%sFORMANTED_%s.wav"' % ( stft, file_formanted, Quefrency, Timbre, file_formanted, str(numerator), ) ) print(f" · Formanted {file_formanted}!\n") # filepraat = (os.path.abspath(os.getcwd()) + '\\' + file).replace('/','\\') # file_formantedpraat = ('"' + os.path.abspath(os.getcwd()) + '/' + 'formanted'.join(file_formanted) + '"').replace('/','\\') # print("%sFORMANTED_%s.wav" % (file_formanted, str(numerator))) out, _ = ( ffmpeg.input( "%sFORMANTED_%s.wav" % (file_formanted, str(numerator)), threads=0 ) .output("-", format="f32le", acodec="pcm_f32le", ac=1, ar=sr) .run( cmd=["ffmpeg", "-nostdin"], capture_stdout=True, capture_stderr=True ) ) try: os.remove("%sFORMANTED_%s.wav" % (file_formanted, str(numerator))) except Exception: pass print("couldn't remove formanted type of file") else: out, _ = ( ffmpeg.input(file, threads=0) .output("-", format="f32le", acodec="pcm_f32le", ac=1, ar=sr) .run( cmd=["ffmpeg", "-nostdin"], capture_stdout=True, capture_stderr=True ) ) except Exception as e: raise RuntimeError(f"Failed to load audio: {e}") if converted: try: os.remove(file_formanted) except Exception: pass print("couldn't remove converted type of file") converted = False return np.frombuffer(out, np.float32).flatten() 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"\n------------\n" f"Audio file, {file.split('/')[-1]}, under ~0.76s detected - file is too short. Target at least 1-2s for best results." f"\n------------\n\n" ) return False return True except Exception as e: raise RuntimeError(f"Failed to check audio duration: {e}")