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chatgpt-on-wechat/voice/audio_convert.py
2026-02-03 02:58:15 +08:00

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import shutil
import wave
from common.log import logger
try:
import pysilk
except ImportError:
logger.debug("import pysilk failed, wechaty voice message will not be supported.")
try:
from pydub import AudioSegment
_pydub_available = True
except ImportError:
logger.debug("import pydub failed, voice conversion features will not be supported.")
AudioSegment = None
_pydub_available = False
sil_supports = [8000, 12000, 16000, 24000, 32000, 44100, 48000] # slk转wav时支持的采样率
def find_closest_sil_supports(sample_rate):
"""
找到最接近的支持的采样率
"""
if sample_rate in sil_supports:
return sample_rate
closest = 0
mindiff = 9999999
for rate in sil_supports:
diff = abs(rate - sample_rate)
if diff < mindiff:
closest = rate
mindiff = diff
return closest
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 any_to_mp3(any_path, mp3_path):
"""
把任意格式转成mp3文件
"""
if not _pydub_available:
raise ImportError("pydub is required for audio conversion. Please install it with: pip install pydub")
if any_path.endswith(".mp3"):
shutil.copy2(any_path, mp3_path)
return
if any_path.endswith(".sil") or any_path.endswith(".silk") or any_path.endswith(".slk"):
sil_to_wav(any_path, any_path)
any_path = mp3_path
audio = AudioSegment.from_file(any_path)
audio.export(mp3_path, format="mp3")
def any_to_wav(any_path, wav_path):
"""
把任意格式转成wav文件
"""
if not _pydub_available:
raise ImportError("pydub is required for audio conversion. Please install it with: pip install pydub")
if any_path.endswith(".wav"):
shutil.copy2(any_path, wav_path)
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.set_frame_rate(8000) # 百度语音转写支持8000采样率, pcm_s16le, 单通道语音识别
audio.set_channels(1)
audio.export(wav_path, format="wav", codec='pcm_s16le')
def any_to_sil(any_path, sil_path):
"""
把任意格式转成sil文件
"""
if not _pydub_available:
raise ImportError("pydub is required for audio conversion. Please install it with: pip install pydub")
if any_path.endswith(".sil") or any_path.endswith(".silk") or any_path.endswith(".slk"):
shutil.copy2(any_path, sil_path)
return 10000
audio = AudioSegment.from_file(any_path)
rate = find_closest_sil_supports(audio.frame_rate)
# Convert to PCM_s16
pcm_s16 = audio.set_sample_width(2)
pcm_s16 = pcm_s16.set_frame_rate(rate)
wav_data = pcm_s16.raw_data
silk_data = pysilk.encode(wav_data, data_rate=rate, sample_rate=rate)
with open(sil_path, "wb") as f:
f.write(silk_data)
return audio.duration_seconds * 1000
def any_to_amr(any_path, amr_path):
"""
把任意格式转成amr文件
"""
if not _pydub_available:
raise ImportError("pydub is required for audio conversion. Please install it with: pip install pydub")
if any_path.endswith(".amr"):
shutil.copy2(any_path, amr_path)
return
if any_path.endswith(".sil") or any_path.endswith(".silk") or any_path.endswith(".slk"):
raise NotImplementedError("Not support file type: {}".format(any_path))
audio = AudioSegment.from_file(any_path)
audio = audio.set_frame_rate(8000) # only support 8000
audio.export(amr_path, format="amr")
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)
def split_audio(file_path, max_segment_length_ms=60000):
"""
分割音频文件
"""
if not _pydub_available:
raise ImportError("pydub is required for audio conversion. Please install it with: pip install pydub")
audio = AudioSegment.from_file(file_path)
audio_length_ms = len(audio)
if audio_length_ms <= max_segment_length_ms:
return audio_length_ms, [file_path]
segments = []
for start_ms in range(0, audio_length_ms, max_segment_length_ms):
end_ms = min(audio_length_ms, start_ms + max_segment_length_ms)
segment = audio[start_ms:end_ms]
segments.append(segment)
file_prefix = file_path[: file_path.rindex(".")]
format = file_path[file_path.rindex(".") + 1 :]
files = []
for i, segment in enumerate(segments):
path = f"{file_prefix}_{i+1}" + f".{format}"
segment.export(path, format=format)
files.append(path)
return audio_length_ms, files