.需求分析

亲们，你们要写会议纪要嘛？
亲们，你们要写会议纪要嘛？
亲们，你们要写会议纪要嘛？

当您面对成吨的会议录音，着急写会议纪要而不得不愚公移山、人海战术？听的头晕眼花，听的漏洞百出，听的怀疑人生，那么你是否想到了自动听写服务？
想想也是，百度一看，好家伙，收费不菲啊！请看下图

2.需求再分析
亲密，能花钱解决的都不是事，刚刚看到听写服务，很贵的，大致1400大洋，还是打折完毕的，而且还是云服务形式的，那么对于某些会议，比如保密会议，需要离线的，那么完全办不到，该怎么办呢？
下面就有请我们的PaddleSpeech出场来解决问题。
3.解决思路
【超简单】之基于PaddleSpeech搭建个人语音听写服务，顾名思义，是通过PaddleSpeech来搭建语音听写服务的，主要思路如下。

1.录音长度切分
2.录音听写
3.录音文本加标点

二、环境搭建
1.PaddleSpeech简介
PaddleSpeech 是基于飞桨 PaddlePaddle 的语音方向的开源模型库，用于语音和音频中的各种关键任务的开发，包含大量基于深度学习前沿和有影响力的模型，一些典型的应用如下：

语音识别
语音翻译
语音合成

2.PaddleSpeech安装
pip install paddlespeech
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2.1相关依赖

gcc >= 4.8.5
paddlepaddle >= 2.3.1
python >= 3.7
linux(推荐), mac, windows

2.2 win安装注意事项

1.win必须安装 Microsoft C++ 生成工具 - Visual Studio
visualstudio.microsoft.com/zh-hans/vis… 工具，原因是 安装非纯 Python 包或编译 Cython 或 Pyrex 文件。

2.参考： WindowsCompilers - Python Wiki
wiki.python.org/moin/Window…

!pip install paddlespeech >log.log
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2.3 快速试用
!wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav
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--2022-07-27 00:31:57-- https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav
Resolving paddlespeech.bj.bcebos.com (paddlespeech.bj.bcebos.com)... 182.61.200.195, 182.61.200.229, 2409:8c04:1001:1002:0:ff:b001:368a
Connecting to paddlespeech.bj.bcebos.com (paddlespeech.bj.bcebos.com)|182.61.200.195|:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 159942 (156K) [audio/wav]
Saving to: ‘zh.wav’

zh.wav 100%[===================>] 156.19K --.-KB/s in 0.03s

2022-07-27 00:31:57 (5.52 MB/s) - ‘zh.wav’ saved [159942/159942]
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2.3.1 API调用
from paddlespeech.cli.asr.infer import ASRExecutor

asr = ASRExecutor()
result = asr(audio_file="zh.wav")
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[2022-07-27 00:33:02,175] [ INFO] - checking the audio file format......
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print(result)
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我认为跑步最重要的就是给我带来了身体健康
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2.3.2 命令行调用
!paddlespeech asr --lang zh --input zh.wav
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/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/nltk/decorators.py:68: DeprecationWarning: formatargspec is deprecated since Python 3.5. Use signature and the Signature object directly
regargs, varargs, varkwargs, defaults, formatvalue=lambda value: ""
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/nltk/lm/counter.py:15: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working
from collections import Sequence, defaultdict
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/nltk/lm/vocabulary.py:13: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working
from collections import Counter, Iterable
[nltk_data] Downloading package averaged_perceptron_tagger to
[nltk_data] /home/aistudio/nltk_data...
[nltk_data] Unzipping taggers/averaged_perceptron_tagger.zip.
[nltk_data] Downloading package cmudict to /home/aistudio/nltk_data...
[nltk_data] Unzipping corpora/cmudict.zip.
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/matplotlib/__init__.py:107: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working
from collections import MutableMapping
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/matplotlib/rcsetup.py:20: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working
from collections import Iterable, Mapping
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/matplotlib/colors.py:53: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working
from collections import Sized
W0727 00:38:55.935500 2181 gpu_resources.cc:61] Please NOTE: device: 0, GPU Compute Capability: 7.0, Driver API Version: 11.2, Runtime API Version: 10.1
W0727 00:38:55.940197 2181 gpu_resources.cc:91] device: 0, cuDNN Version: 7.6.
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/h5py/__init__.py:36: DeprecationWarning: np.typeDict is a deprecated alias for np.sctypeDict.
from ._conv import register_converters as _register_converters
我认为跑步最重要的就是给我带来了身体健康
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会自动下载一堆东西有点慢，可以不用这个。
[nltk_data] Downloading package averaged_perceptron_tagger to
[nltk_data] /home/aistudio/nltk_data...
[nltk_data] Unzipping taggers/averaged_perceptron_tagger.zip.
[nltk_data] Downloading package cmudict to /home/aistudio/nltk_data...
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2.3.3 常见错误
如遇到以下错误
[2022-07-26 21:13:28,589] [ INFO] - checking the audio file format......
[2022-07-26 21:13:28,594] [ ERROR] - Please input audio file less then 50 seconds.
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报错很明显，提示一个是音频格式问题，一个是小于50s问题，如果遇到这个问题后面解决。

1.音频必须为wav格式

2.音频大小必须小于50s

音频格式为wav格式，这个可通过录音笔设置（一般默认），或python代码转换，或者格式工厂进行转换。
3.音频切分
此处使用auditok库
!pip install auditok
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Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Collecting auditok
Downloading https://pypi.tuna.tsinghua.edu.cn/packages/49/3a/8b5579063cfb7ae3e89d40d495f4eff6e9cdefa14096ec0654d6aac52617/auditok-0.2.0-py3-none-any.whl (1.5 MB)

 l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/1.5 MB ? eta -:--:--━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.4/1.5 MB 14.2 MB/s eta 0:00:01━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━ 1.3/1.5 MB 19.7 MB/s eta 0:00:01━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.5/1.5 MB 15.4 MB/s eta 0:00:00

[?25hInstalling collected packages: auditok
Successfully installed auditok-0.2.0

[notice] A new release of pip available: 22.1.2 -> 22.2
[notice] To update, run: pip install --upgrade pip
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三、音频切分
切分原因上面交代过，因为PaddleSpeech识别最长语音为50s，故需要切分，这里直接调用好了。
from paddlespeech.cli.asr.infer import ASRExecutor
import csv
import moviepy.editor as mp
import auditok
import os
import paddle
from paddlespeech.cli import ASRExecutor, TextExecutor
import soundfile
import librosa
import warnings

warnings.filterwarnings('ignore')
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引入auditok库

import auditok

输入类别为audio

def qiefen(path, ty='audio', mmin_dur=1, mmax_dur=100000, mmax_silence=1, menergy_threshold=55):

audio_file = path
audio, audio_sample_rate = soundfile.read(
    audio_file, dtype="int16", always_2d=True)

audio_regions = auditok.split(
    audio_file,
    min_dur=mmin_dur,  # minimum duration of a valid audio event in seconds
    max_dur=mmax_dur,  # maximum duration of an event
    # maximum duration of tolerated continuous silence within an event
    max_silence=mmax_silence,
    energy_threshold=menergy_threshold  # threshold of detection
)

for i, r in enumerate(audio_regions):
    # Regions returned by `split` have 'start' and 'end' metadata fields
    print(
        "Region {i}: {r.meta.start:.3f}s -- {r.meta.end:.3f}s".format(i=i, r=r))

    epath = ''
    file_pre = str(epath.join(audio_file.split('.')[0].split('/')[-1]))

    mk = 'change'
    if (os.path.exists(mk) == False):
        os.mkdir(mk)
    if (os.path.exists(mk + '/' + ty) == False):
        os.mkdir(mk + '/' + ty)
    if (os.path.exists(mk + '/' + ty + '/' + file_pre) == False):
        os.mkdir(mk + '/' + ty + '/' + file_pre)
    num = i
    # 为了取前三位数字排序
    s = '000000' + str(num)

    file_save = mk + '/' + ty + '/' + file_pre + '/' + \
                s[-3:] + '-' + '{meta.start:.3f}-{meta.end:.3f}' + '.wav'
    filename = r.save(file_save)
    print("region saved as: {}".format(filename))
return mk + '/' + ty + '/' + file_pre