blocks|key|3486459|text|开源：CMU+Sphinx|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|3486460|共享软件：http://www.e-speaking.com/+(Windows)|3486461|商业广告：Dragon+NaturallySpeaking+(Windows)|3486462|entityMap|0|LINK|mutability|MUTABLE|url|http://sourceforge.net/projects/cmusphinx|1|http://www.e-speaking.com/|2|http://www.nuance.com/naturallyspeaking/products/audiomining.asp^0|3|A|0|0|5|Q|1|0|5|O|2|0^^$0|@$1|2|3|4|5|6|7|T|8|@]|9|@$A|U|B|V|1|W]]|C|$]]|$1|D|3|E|5|6|7|X|8|@]|9|@$A|Y|B|Z|1|10]]|C|$]]|$1|F|3|G|5|6|7|11|8|@]|9|@$A|12|B|13|1|14]]|C|$]]|$1|H|3|-4|5|6|7|15|8|@]|9|@]|C|$]]]|I|$J|$5|K|L|M|C|$N|O]]|P|$5|K|L|M|C|$N|Q]]|R|$5|K|L|M|C|$N|S]]]]

Open Source: <a href="http://sourceforge.net/projects/cmusphinx" rel="noreferrer">CMU Sphinx</a>

Shareware: <a href="http://www.e-speaking.com/" rel="noreferrer">http://www.e-speaking.com/</a> (Windows)

Commercial: <a href="http://www.nuance.com/naturallyspeaking/products/audiomining.asp" rel="noreferrer">Dragon NaturallySpeaking</a> (Windows)

blocks|key|4333996|text|.NET可以用它的System.Speech命名空间做到这一点。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|4333997|您必须先转换为.wav格式，或者从麦克风中实时捕获音频。|4333998|有关实施的详细信息可在此处找到：Transcribing+Audio+with+.NET|offset|length|4333999|entityMap|0|LINK|mutability|MUTABLE|url|http://ellismis.com/2012/03/17/converting-or-transcribing-audio-to-text-using-c-and-net-system-speech/^0|0|0|G|S|0|0^^$0|@$1|2|3|4|5|6|7|P|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|Q|8|@]|9|@]|A|$]]|$1|D|3|E|5|6|7|R|8|@]|9|@$F|S|G|T|1|U]]|A|$]]|$1|H|3|-4|5|6|7|V|8|@]|9|@]|A|$]]]|I|$J|$5|K|L|M|A|$N|O]]]]

.NET can do it with its System.Speech namespace.

You would have to convert to .wav first or capture the audio live from the mic. 

Details on implementation can be found here:
<a href="http://ellismis.com/2012/03/17/converting-or-transcribing-audio-to-text-using-c-and-net-system-speech/" rel="noreferrer">Transcribing Audio with .NET</a>

blocks|key|4333926|text|Dragon+NaturallySpeaking似乎支持MP3输入。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|4333927|如果你想要一个open+source+version+(我想有一些基于这个的Asterisk集成项目)。|4333928|entityMap|0|LINK|mutability|MUTABLE|url|http://www.nuance.com/naturallyspeaking/products/audiomining.asp|1|http://www.speech.cs.cmu.edu/^0|0|O|0|0|7|J|1|0^^$0|@$1|2|3|4|5|6|7|P|8|@]|9|@$A|Q|B|R|1|S]]|C|$]]|$1|D|3|E|5|6|7|T|8|@]|9|@$A|U|B|V|1|W]]|C|$]]|$1|F|3|-4|5|6|7|X|8|@]|9|@]|C|$]]]|G|$H|$5|I|J|K|C|$L|M]]|N|$5|I|J|K|C|$L|O]]]]

<a href="http://www.nuance.com/naturallyspeaking/products/audiomining.asp" rel="nofollow noreferrer">Dragon NaturallySpeaking</a> seems to support MP3 input.

If you want an <a href="http://www.speech.cs.cmu.edu/" rel="nofollow noreferrer">open source version</a> (I think there are some Asterisk integration projects based on this one).

blocks|key|3486542|text|聚会来晚了，所以多回答一些，以备将来参考。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|3486543|该领域的进步%2BMozilla的思维方式和议程导致了这两个项目的实现：|3486544|3486545|Deep+Speech|unordered-list-item|offset|length|3486546|Common+voice+|3486547|3486548|后者有一个12+for的数据集可供下载。据我所知，前者允许使用您自己的音频文件训练模型|3486549|entityMap|0|LINK|mutability|MUTABLE|url|https://github.com/mozilla/DeepSpeech|1|https://voice.mozilla.org/data^0|0|0|0|0|B|0|0|0|C|1|0|0|0^^$0|@$1|2|3|4|5|6|7|Y|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|Z|8|@]|9|@]|A|$]]|$1|D|3|-4|5|6|7|10|8|@]|9|@]|A|$]]|$1|E|3|F|5|G|7|11|8|@]|9|@$H|12|I|13|1|14]]|A|$]]|$1|J|3|K|5|G|7|15|8|@]|9|@$H|16|I|17|1|18]]|A|$]]|$1|L|3|-4|5|6|7|19|8|@]|9|@]|A|$]]|$1|M|3|N|5|6|7|1A|8|@]|9|@]|A|$]]|$1|O|3|-4|5|6|7|1B|8|@]|9|@]|A|$]]]|P|$Q|$5|R|S|T|A|$U|V]]|W|$5|R|S|T|A|$U|X]]]]

Late to the party, so answering more for future reference.

Advances in the field + Mozilla's mindset and agenda led to these two projects towards that end:

<ul>
<li><a href="https://github.com/mozilla/DeepSpeech" rel="nofollow noreferrer">Deep Speech</a></li>
<li><a href="https://voice.mozilla.org/data" rel="nofollow noreferrer">Common voice</a> </li>
</ul>

The latter has a 12GB data-set for download. The former allows for training a model with your own audio files to my understanding

How could I take MP3 and convert the speech to text?

I've got some recorded notes from a conference and from meetings (there is a single voice on the recording, which is my voice). I thought it would be easier and intellectually interesting to convert to text using speech to text tools rather than simply transcribe by hand. I know there are technologies out there, especially for VoIP applications using Asterisk and Podcasts, but what are they and how can I use them?

How do I convert speech to text?

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。

文章

问答

视频

学习中心

腾讯云实验室

直播

竞赛

腾讯云代码分析专区

腾讯iOA零信任安全管理系统专区

腾讯云架构师技术同盟交流圈

腾讯云数据库专区

腾讯云顾问专区

腾讯云原生专区

腾讯混元专区

腾讯云TCE专区

腾讯云Lighthouse专区

腾讯云HAI专区

腾讯云Edgeone专区

腾讯云存储专区

腾讯云智能专区

腾讯轻联专区 

腾讯云开发专区

TAPD专区

腾讯轻量云游戏服专区

腾讯云最具价值专家

腾讯云架构师技术同盟

腾讯云创作之星

腾讯云开发者先锋

腾讯云代码助手

云原生构建

TAPD 敏捷项目管理

Cloud Studio

SDK中心

API中心

命令行工具

涵盖代码开发、场景应用、自动测试全流程，助你从零构建专属AI助手

一站式MCP教程库，解锁AI应用新玩法

如何获取MP3并将语音转换为文本？我有一些会议和会议的录音笔记(录音中只有一个声音，那就是我的声音)。我认为使用语音转文本工具转换为文本会比简单地手工转录更容易，也更有智力上的趣味性。我知道有一些技术，特别是对于使用星号和播客的VoIP应用程序，但它们是什么，我如何使用它们？

问如何将语音转换为文本？
EN

回答 4

Stack Overflow用户

Stack Overflow用户

Stack Overflow用户

社区

活动

圈层

关于

腾讯云开发者

热门产品

热门推荐

更多推荐

问如何将语音转换为文本？EN

回答 4

Stack Overflow用户

Stack Overflow用户

Stack Overflow用户

社区

活动

圈层

关于

腾讯云开发者

热门产品

热门推荐

更多推荐

问如何将语音转换为文本？
EN