fix:添加音频码率验证以防止模型异常 (#2219)

Co-authored-by: zhaochaojin <[email protected]>
This commit is contained in:
pointerhacker
2024-11-20 18:39:05 +08:00
committed by GitHub
co-authored by zhaochaojin
parent 141df861cb
commit 37d6930561
+28
View File
@@ -1,6 +1,7 @@
import os
import torch
import json
from io import BytesIO
import torch.distributed as dist
import numpy as np
import kaldiio
@@ -9,6 +10,7 @@ import torchaudio
import time
import logging
from torch.nn.utils.rnn import pad_sequence
from pydub import AudioSegment
try:
from funasr.download.file import download_from_url
@@ -136,6 +138,7 @@ def load_audio_text_image_video(
def load_bytes(input):
input = validate_frame_rate(input)
middle_data = np.frombuffer(input, dtype=np.int16)
middle_data = np.asarray(middle_data)
if middle_data.dtype.kind not in "iu":
@@ -150,6 +153,31 @@ def load_bytes(input):
array = np.frombuffer((middle_data.astype(dtype) - offset) / abs_max, dtype=np.float32)
return array
def validate_frame_rate(
input,
fs: int = 16000,
):
# 将文件读取为字节流
byte_data = BytesIO(input)
# 使用 pydub 加载音频
audio = AudioSegment.from_file(byte_data)
# 确保采样率为 16000 Hz
if audio.frame_rate != fs:
audio = audio.set_frame_rate(fs)
# 将重新采样后的音频导出为字节流
output = BytesIO()
audio.export(output, format="wav")
output.seek(0)
# 获取重新采样后的字节流数据
input = output.read()
return input
def extract_fbank(data, data_len=None, data_type: str = "sound", frontend=None, **kwargs):
if isinstance(data, np.ndarray):