blocks|key|1451904|text|您可以使用subprocess调用带有-w参数的espeak。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|1451905|import+subprocess

def+textToWav(text,file_name):
+++subprocess.call(["espeak",+"-w"%2Bfile_name%2B".wav",+text])

textToWav('hello+world','hello')|code-block|syntax|javascript|1451906|这将在不大声读出的情况下写入file_name.wav。如果你的文本在一个文件中(例如text.txt)，你需要用-f参数("-f"%2B+text+)来调用espeak。我建议您阅读espeak+man+pages以了解您拥有的所有选项。|1451907|希望这能有所帮助。|1451908|entityMap|0|LINK|mutability|MUTABLE|url|http://docs.python.org/library/subprocess.html|1|http://espeak.sourceforge.net/|2|http://man.cx/espeak^0|5|A|0|O|6|1|0|0|2I|G|2|0|0^^$0|@$1|2|3|4|5|6|7|Y|8|@]|9|@$A|Z|B|10|1|11]|$A|12|B|13|1|14]]|C|$]]|$1|D|3|E|5|F|7|15|8|@]|9|@]|C|$G|H]]|$1|I|3|J|5|6|7|16|8|@]|9|@$A|17|B|18|1|19]]|C|$]]|$1|K|3|L|5|6|7|1A|8|@]|9|@]|C|$]]|$1|M|3|-4|5|6|7|1B|8|@]|9|@]|C|$]]]|N|$O|$5|P|Q|R|C|$S|T]]|U|$5|P|Q|R|C|$S|V]]|W|$5|P|Q|R|C|$S|X]]]]

You can call <a href="http://espeak.sourceforge.net/" rel="noreferrer">espeak</a> with the -w argument using <a href="http://docs.python.org/library/subprocess.html" rel="noreferrer">subprocess</a>.

<pre><code>import subprocess

def textToWav(text,file_name):
 subprocess.call(["espeak", "-w"+file_name+".wav", text])

textToWav('hello world','hello')
</code></pre>

This will write file_name.wav without reading out loud. If your text is in a file (e.g. text.txt) you need to call espeak with the -f parameter ("-f"+text). I'd recommend reading the <a href="http://man.cx/espeak" rel="noreferrer">espeak man pages</a> to see all the options you have.

Hope this helps.

blocks|key|5493418|text|您可以使用更高级的SAPI包装器将输出保存到wav文件。例如，您可以尝试|type|unstyled|depth|inlineStyleRanges|entityRanges|data|5493419|https://github.com/DeepHorizons/tts|offset|length|5493420|代码应如下所示：|5493421|import+tts.sapi
voice+=+tts.sapi.Sapi()
voice.set_voice("Joey")
voice.create_recording('hello.wav',+"Hello")|code-block|syntax|javascript|5493422|entityMap|0|LINK|mutability|MUTABLE|url^0|0|0|Z|0|0|0|0^^$0|@$1|2|3|4|5|6|7|T|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|U|8|@]|9|@$D|V|E|W|1|X]]|A|$]]|$1|F|3|G|5|6|7|Y|8|@]|9|@]|A|$]]|$1|H|3|I|5|J|7|Z|8|@]|9|@]|A|$K|L]]|$1|M|3|-4|5|6|7|10|8|@]|9|@]|A|$]]]|N|$O|$5|P|Q|R|A|$S|C]]]]

You can use more advanced SAPI wrapper to save output to the wav file. For example you can try

<a href="https://github.com/DeepHorizons/tts" rel="nofollow noreferrer">https://github.com/DeepHorizons/tts</a>

The code should look like this:

<pre><code>import tts.sapi
voice = tts.sapi.Sapi()
voice.set_voice("Joey")
voice.create_recording('hello.wav', "Hello")
</code></pre>

blocks|key|5493440|text|下面是一个访问NSSpeechSynthesizer应用编程接口的示例|type|unstyled|depth|inlineStyleRanges|entityRanges|data|5493441|#!/usr/bin/env+python

from++AppKit+import+NSSpeechSynthesizer
import+sys
import+Foundation


if+len(sys.argv)+<+2:
+++text+=+raw_input('type+text+to+speak>+')
else:
+++text+=+sys.argv[1]

nssp+=+NSSpeechSynthesizer
ve+=+nssp.alloc().init()
ve.setRate_(100)
url+=+Foundation.NSURL.fileURLWithPath_('yourpath/test.aiff')
ve.startSpeakingString_toURL_(text,url)|code-block|syntax|javascript|5493442|entityMap^0|0|0^^$0|@$1|2|3|4|5|6|7|I|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|J|8|@]|9|@]|A|$E|F]]|$1|G|3|-4|5|6|7|K|8|@]|9|@]|A|$]]]|H|$]]

Here is an example which gives you access to the NSSpeechSynthesizer API

<pre><code>#!/usr/bin/env python

from AppKit import NSSpeechSynthesizer
import sys
import Foundation


if len(sys.argv) &lt; 2:
 text = raw_input('type text to speak&gt; ')
else:
 text = sys.argv[1]

nssp = NSSpeechSynthesizer
ve = nssp.alloc().init()
ve.setRate_(100)
url = Foundation.NSURL.fileURLWithPath_('yourpath/test.aiff')
ve.startSpeakingString_toURL_(text,url)
</code></pre>

blocks|key|5493472|text|使用VB输入和输出模拟器电缆，大胆地记录任何engine.play()输出。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|5493473|您将需要下载VB电缆，然后将它们通过windows设置为默认的windows声音设置，然后将Audacity的输入设置为Microsoft声音映射器输入，点击Audacity上的record并播放您的脚本。你会注意到，一旦它在Audacity上完成，然后导出你需要循环的东西。|5493474|这种方法可能超出了范围，并不完美，但在pyttsx3上工作，并且记录的质量比espeak更好。|5493475|entityMap^0|0|0|0^^$0|@$1|2|3|4|5|6|7|H|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|I|8|@]|9|@]|A|$]]|$1|D|3|E|5|6|7|J|8|@]|9|@]|A|$]]|$1|F|3|-4|5|6|7|K|8|@]|9|@]|A|$]]]|G|$]]

use a VB in and out emulator cable with audacity to record whatever engine.play() outputs. 

You will need to download the VB Cables, then set them up through windows as default with windows sound settings,then set Audacity's input to Microsoft sound mapper input, hit record on Audacity and play your script. You will notice once's it's finished on Audacity and then export what you need to loop. 

This method may be out of the scope is not perfect but works on pyttsx3 and records in better quality than espeak.

blocks|key|5493512|text|您也可以使用Amazon+Polly+API：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|5493513|下面是一个使用python的示例：|5493514|https://aws.amazon.com/blogs/machine-learning/convert-your-text-into-an-mp3-file-with-amazon-polly-and-a-simple-python-script/|offset|length|5493515|entityMap|0|LINK|mutability|MUTABLE|url^0|0|0|0|3I|0|0^^$0|@$1|2|3|4|5|6|7|O|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|P|8|@]|9|@]|A|$]]|$1|D|3|E|5|6|7|Q|8|@]|9|@$F|R|G|S|1|T]]|A|$]]|$1|H|3|-4|5|6|7|U|8|@]|9|@]|A|$]]]|I|$J|$5|K|L|M|A|$N|E]]]]

You can use Amazon Polly API as well:

An example using python is available below:

<a href="https://aws.amazon.com/blogs/machine-learning/convert-your-text-into-an-mp3-file-with-amazon-polly-and-a-simple-python-script/" rel="nofollow noreferrer">https://aws.amazon.com/blogs/machine-learning/convert-your-text-into-an-mp3-file-with-amazon-polly-and-a-simple-python-script/</a>

I am attempting to find a way to take synthesized speech and record it to an audio file. I am currently using <a href="https://github.com/parente/pyttsx" rel="nofollow noreferrer">pyttsx</a> as my text-to-speech library, but there isn't a mechanism for saving the output to a file, only playing it directly from the speakers. I've looked into <a href="https://stackoverflow.com/questions/892199/detect-record-audio-in-python">detecting and recording audio</a> as well as <a href="http://people.csail.mit.edu/hubert/pyaudio/" rel="nofollow noreferrer">PyAudio</a>, but these seem to take input from a microphone rather than redirecting outgoing audio to a file. Is there a known way to do this?

Recording synthesized text-to-speech to a file in Python

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

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