import librosa import numpy as np import av from io import BytesIO import ffmpeg import os import traceback import sys import random import subprocess platform_stft_mapping = { 'linux': os.path.join(os.getcwd(), 'stftpitchshift'), 'darwin': os.path.join(os.getcwd(), 'stftpitchshift'), 'win32': os.path.join(os.getcwd(), '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 formanted = False file = file.strip(' \n"') if not os.path.exists(file): raise RuntimeError( "Wrong audio path, that does not exist." ) try: if not file.endswith(".wav"): converted = True formatted_file = f"{os.path.splitext(os.path.basename(file))[0]}.wav" subprocess.run( ["ffmpeg", "-nostdin", "-i", file, formatted_file], capture_output=True, text=True, ) file = formatted_file print(f"File formatted to wav format: {file}\n") if DoFormant: print("Starting formant shift. Please wait as this process takes a while.") formanted_file = f"{os.path.splitext(os.path.basename(file))[0]}_formanted{os.path.splitext(os.path.basename(file))[1]}" command = ( f'{stft} -i "{file}" -q "{Quefrency}" ' f'-t "{Timbre}" -o "{formanted_file}"' ) subprocess.run(command, shell=True) file = formanted_file 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(formatted_file) except Exception as error: print(f"Couldn't remove converted type of file due to {error}") error = None 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: raise RuntimeError(traceback.format_exc()) 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}")