Files
chatgpt-on-wechat/voice/audio_convert.py

71 lines
1.8 KiB
Python

import wave
import pysilk
from pydub import AudioSegment
def get_pcm_from_wav(wav_path):
"""
从 wav 文件中读取 pcm
:param wav_path: wav 文件路径
:returns: pcm 数据
"""
wav = wave.open(wav_path, "rb")
return wav.readframes(wav.getnframes())
def mp3_to_wav(mp3_path, wav_path):
"""
把mp3格式转成pcm文件
"""
audio = AudioSegment.from_mp3(mp3_path)
audio.export(wav_path, format="wav")
def any_to_wav(any_path, wav_path):
"""
把任意格式转成wav文件
"""
if any_path.endswith('.wav'):
return
if any_path.endswith('.sil') or any_path.endswith('.silk') or any_path.endswith('.slk'):
return sil_to_wav(any_path, wav_path)
audio = AudioSegment.from_file(any_path)
audio.export(wav_path, format="wav")
def pcm_to_silk(pcm_path, silk_path):
"""
wav 文件转成 silk
return 声音长度,毫秒
"""
audio = AudioSegment.from_wav(pcm_path)
wav_data = audio.raw_data
silk_data = pysilk.encode(
wav_data, data_rate=audio.frame_rate, sample_rate=audio.frame_rate)
with open(silk_path, "wb") as f:
f.write(silk_data)
return audio.duration_seconds * 1000
def mp3_to_sil(mp3_path, silk_path):
"""
mp3 文件转成 silk
return 声音长度,毫秒
"""
audio = AudioSegment.from_mp3(mp3_path)
wav_data = audio.raw_data
silk_data = pysilk.encode(
wav_data, data_rate=audio.frame_rate, sample_rate=audio.frame_rate)
# Save the silk file
with open(silk_path, "wb") as f:
f.write(silk_data)
return audio.duration_seconds * 1000
def sil_to_wav(silk_path, wav_path, rate: int = 24000):
"""
silk 文件转 wav
"""
wav_data = pysilk.decode_file(silk_path, to_wav=True, sample_rate=rate)
with open(wav_path, "wb") as f:
f.write(wav_data)