import ffmpeg import numpy as np # import praatio # import praatio.praat_scripts import os import sys import random import csv platform_stft_mapping = { "linux": "stftpitchshift", "darwin": "stftpitchshift", "win32": "stftpitchshift.exe", } stft = platform_stft_mapping.get(sys.platform) # praatEXE = join('.',os.path.abspath(os.getcwd()) + r"\Praat.exe") def CSVutil(file, rw, type, *args): if type == "formanting": if rw == "r": with open(file) as fileCSVread: csv_reader = list(csv.reader(fileCSVread)) return ( (csv_reader[0][0], csv_reader[0][1], csv_reader[0][2]) if csv_reader is not None else (lambda: exec('raise ValueError("No data")'))() ) else: if args: doformnt = args[0] else: doformnt = False qfr = args[1] if len(args) > 1 else 1.0 tmb = args[2] if len(args) > 2 else 1.0 with open(file, rw, newline="") as fileCSVwrite: csv_writer = csv.writer(fileCSVwrite, delimiter=",") csv_writer.writerow([doformnt, qfr, tmb]) elif type == "stop": stop = args[0] if args else False with open(file, rw, newline="") as fileCSVwrite: csv_writer = csv.writer(fileCSVwrite, delimiter=",") csv_writer.writerow([stop]) def load_audio(file, sr, DoFormant, Quefrency, Timbre): 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()