import ffmpeg import numpy as np # import praatio # import praatio.praat_scripts import os import sqlite3 # praatEXE = join('.',os.path.abspath(os.getcwd()) + r"\Praat.exe") def load_audio(file, sr, DoFormant, Quefrency, Timbre): try: conn = sqlite3.connect('TEMP/db:cachedb?mode=memory&cache=shared', check_same_thread=False) cursor = conn.cursor() # 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(" ") cursor.execute("SELECT Quefrency, Timbre, DoFormant FROM formant_data") Quefrency, Timbre, DoFormant = cursor.fetchone() print(f"dofor={bool(DoFormant)} timbr={Timbre} quef={Quefrency}\n") if bool(DoFormant): # 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"): converting = ( ffmpeg.input(file, threads = 0) .output(f"{file_formanted}.wav") .run( cmd=["ffmpeg", "-nostdin"], capture_stdout=True, capture_stderr=True ) ) print("formanting...") os.system( 'runtime\Scripts\stftpitchshift.exe -i "%s" -q %s -t %s -o "%sFORMANTED"' % (file_formanted, Quefrency, Timbre, file_formanted) ) print("formanted!") # filepraat = (os.path.abspath(os.getcwd()) + '\\' + file).replace('/','\\') # file_formantedpraat = ('"' + os.path.abspath(os.getcwd()) + '/' + 'formanted'.join(file_formanted) + '"').replace('/','\\') out, _ = ( ffmpeg.input("%sFORMANTED%s" % (file_formanted, ".wav"), threads=0) .output("-", format="f32le", acodec="pcm_f32le", ac=1, ar=sr) .run( cmd=["ffmpeg", "-nostdin"], capture_stdout=True, capture_stderr=True ) ) os.remove("%sFORMANTED%s" % (file_formanted, ".wav")) os.remove(f"{file_formanted}.wav") 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}") conn.close() return np.frombuffer(out, np.float32).flatten()