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法律研究使用 Pydub 和 Google 语音识别 API 在 Python 中进行音频处理
在本教程中，我们将处理音频文件。我们将把音频分解成块以识别其中的内容。我们还将把音频文件的内容存储在文本文件中。使用以下命令安装以下模块。
pip install pydub
如果您运行上述命令，您将收到以下成功消息
Collecting pydub Downloading https://files.pythonhosted.org/packages/79/db/eaf620b73a1eec3c8c6f8f5 b0b236a50f9da88ad57802154b7ba7664d0b8/pydub-0.23.1-py2.py3-none-any.whl Installing collected packages: pydub Successfully installed pydub-0.23.1
pip install audioread
如果您运行上述命令，您将收到以下成功消息。
Collecting audioread Downloading https://files.pythonhosted.org/packages/2e/0b/940ea7861e0e9049f09dcfd 72a90c9ae55f697c17c299a323f0148f913d2/audioread-2.1.8.tar.gz Building wheels for collected packages: audioread Building wheel for audioread (setup.py): started Building wheel for audioread (setup.py): finished with status 'done' Created wheel for audioread: filename=audioread-2.1.8-cp37-none-any.whl size=2309 8 sha256=92b6f46d6b4726e7a13233dc9d84744ba74e23187123e67f663650f24390dc9d Stored in directory: C:\Users\hafeezulkareem\AppData\Local\pip\Cache\wheels\b9\64 \09\0b6417df9d8ba8bc61a7d2553c5cebd714ec169644c88fc012 Successfully built audioread Installing collected packages: audioread Successfully installed audioread-2.1.8
pip install SpeechRecognition
如果您运行上述命令，您将收到以下成功消息。
Collecting SpeechRecognition Downloading https://files.pythonhosted.org/packages/26/e1/7f5678cd94ec1234269d237 56dbdaa4c8cfaed973412f88ae8adf7893a50/SpeechRecognition-3.8.1-py2.py3-none-any.whl (32.8MB) Installing collected packages: SpeechRecognition Successfully installed SpeechRecognition-3.8.1
此过程中有两个步骤。
将音频分成块。
我们必须使用 **SpeechRecognition** 提取内容。
从您的库中选择一个音频文件。让我们开始代码。
示例
# importing the module
import pydub
import speech_recognition
# getting the audio file
audio = pydub.AudioSegment.from_wav('audio.wav')
# length of the audio in milliseconds
audio_length = len(audio)
print(f'Audio Length: {audio_length}')
# chunk counter
chunk_counter = 1
audio_text = open('audio_text.txt', 'w+')
# setting where to slice the audio
point = 60000
# overlap - remaining audio after slicing
rem = 8000
# initialising variables to track chunks and ending
flag = 0
start = 0
end = 0
# iterating through the audio with incrementing of rem
for i in range(0, 2 * audio_length, point):
# in first iteration end = rem
if i == 0:
start = 0
end = point
else:
# other iterations
start = end - rem
end = start + point
# if end is greater than audio_length
if end >= audio_length:
end = audio_length
# to indicate stop
flag = 1
# getting a chunk from the audio
chunk = audio[start:end]
# chunk name
chunk_name = f'chunk_{chunk_counter}'
# storing the chunk to local storage
chunk.export(chunk_name, format = 'wav')
# printing the chunk
print(f'{chunk_name} start: {start} end: {end}')
# incrementing chunk counter
chunk_counter += 1
# recognising text from the audio
# initialising the recognizer
recognizer = speech_recognition.Recognizer()
# creating a listened audio
with speech_recognition.AudioFile(chunk_name) as chunk_audio:
chunk_listened = recognizer.listen(chunk_audio)
# recognizing content from the audio
try:
# getting content from the chunk
content = recognizer.recognize_google(chunk_listened)
# writing to the file
audio_text.write(content + '\n')
# if not recognized
except speech_recognition.UnknownValueError:
print('Audio is not recognized')
# internet error
except speech_recognition.RequestError as Error:
print('Can\'t connect to the internet')
# checking the flag
if flag == 1:
audio_text.close()
break输出
如果您运行上述代码，您将获得以下结果。
Audio Length: 480052 chunk_1 start: 0 end: 60000 chunk_2 start: 52000 end: 112000 chunk_3 start: 104000 end: 164000 chunk_4 start: 156000 end: 216000 chunk_5 start: 208000 end: 268000 chunk_6 start: 260000 end: 320000 chunk_7 start: 312000 end: 372000 chunk_8 start: 364000 end: 424000 chunk_9 start: 416000 end: 476000 chunk_10 start: 468000 end: 480052
检查文件内容。
# opening the file in read mode
with open('audio_text.txt', 'r') as file:
print(file.read())如果您运行上述代码，您将获得以下结果。
English and I am here in San Francisco I am back in San Francisco last week we were in Texas at a teaching country and The Reader of the teaching conference was a plan e Re improve teaching as a result you are house backup file with bad it had some English is coming soon one day only time 12 o1 a.m. everything about her English now or powering on my email list sports in your city check your email email Harjeet girlfriend next Tuesday checking the year enjoying office English keep listening keep smiling keep enjoying your English learning
结论
如果您对本教程有任何疑问，请在评论区提出。
更新于: 2019年11月1日
739 次浏览
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