blocks|key|179002|text|我和FreeTTS相处得很好|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|179003|entityMap|0|LINK|mutability|MUTABLE|url|http://freetts.sourceforge.net/^0|2|7|0|0^^$0|@$1|2|3|4|5|6|7|L|8|@]|9|@$A|M|B|N|1|O]]|C|$]]|$1|D|3|-4|5|6|7|P|8|@]|9|@]|C|$]]]|E|$F|$5|G|H|I|C|$J|K]]]]

I've actually had pretty good luck with <a href="http://freetts.sourceforge.net/" rel="noreferrer">FreeTTS</a>

blocks|key|1178134|text|谷歌翻译有一个秘密的tts：tts?ie=utf-8&tl=en&q=Hello%2520+20World|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|1178135|entityMap|0|LINK|mutability|MUTABLE|url|https://translate.google.com/translate_tts?ie=utf-8&tl=en&q=Hello%2520World^0|E|11|0|0^^$0|@$1|2|3|4|5|6|7|L|8|@]|9|@$A|M|B|N|1|O]]|C|$]]|$1|D|3|-4|5|6|7|P|8|@]|9|@]|C|$]]]|E|$F|$5|G|H|I|C|$J|K]]]]

Google Translate has a secret tts api:
<a href="https://translate.google.com/translate_tts?ie=utf-8&amp;tl=en&amp;q=Hello%20World">https://translate.google.com/translate_tts?ie=utf-8&amp;tl=en&amp;q=Hello%20World</a>

blocks|key|1178163|text|事实上，没有太多的选择：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1178164|最老的节日。用C%2B%2B编写，但绑定到Java。|unordered-list-item|1178165|eSpeak，快速和简单，使用谷歌翻译|1178166|姆布罗拉|1178167|纯Java：|1178168|FreeTTS，它的代码是从节日移植的，然后是开源的，并且停止了开发.|1178169|MaryTTS+-更强大，看起来生产准备好了。|1178170|还有其他专有程序，如：|1178171|阿卡皮拉|1178172|细微差别发声器|1178173|如果您的软件仅为Windows，则可以使用。|1178174|entityMap^0|0|0|0|0|0|0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|Y|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|Z|8|@]|9|@]|A|$]]|$1|E|3|F|5|D|7|10|8|@]|9|@]|A|$]]|$1|G|3|H|5|D|7|11|8|@]|9|@]|A|$]]|$1|I|3|J|5|6|7|12|8|@]|9|@]|A|$]]|$1|K|3|L|5|D|7|13|8|@]|9|@]|A|$]]|$1|M|3|N|5|D|7|14|8|@]|9|@]|A|$]]|$1|O|3|P|5|6|7|15|8|@]|9|@]|A|$]]|$1|Q|3|R|5|D|7|16|8|@]|9|@]|A|$]]|$1|S|3|T|5|D|7|17|8|@]|9|@]|A|$]]|$1|U|3|V|5|6|7|18|8|@]|9|@]|A|$]]|$1|W|3|-4|5|6|7|19|8|@]|9|@]|A|$]]]|X|$]]

Actually, there is not a big choice:

<ul>
<li>Festival, most old. Written in C++ but has bindings to Java.</li>
<li>eSpeak, quick and simple, used by Google Translate</li>
<li>mbrola</li>
</ul>

Pure Java:

<ul>
<li>FreeTTS, which code was ported from Festival, and then was open-sourced and development was stopped.</li>
<li>MaryTTS - more powerful and looks production ready.</li>
</ul>

Also there is other proprietary programs like:

<ul>
<li>Acapella</li>
<li>Nuance Vocalizer</li>
</ul>

If your software is Windows only, you can use Microsoft Speech API.

blocks|key|851993|text|我以前用过玛丽，我对这些声音的质量印象深刻。不幸的是，我没有使用任何其他的。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|851994|entityMap^0|0^^$0|@$1|2|3|4|5|6|7|D|8|@]|9|@]|A|$]]|$1|B|3|-4|5|6|7|E|8|@]|9|@]|A|$]]]|C|$]]

I've used Mary before and I was very impressed with the quality of the voices. Unfortunately, I haven't used any of the other ones.

blocks|key|1178010|text|我使用了AT&T自然之声，它提供了JSAPI和MS挂钩。它提供优秀的质量声音，一个好的“通用”语音词典，许多控制发音，和多种语言。有点贵，但效果很好。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|1178011|我用它来读取一个移动传感器应用程序中重要的传感器遥测信息给司机。我们对声音质量没有怨言。它有大约75%25的开箱即用的准确性与科学术语和一个更高的(也许90%25%2B)与正常对话。我们通过使用标记(大多数错误都是以不寻常的音素组合在科学术语上)来达到99%2B%25的准确性。|1178012|这在处理器上有点困难(我们运行的是奔腾III(Pentium)等价器，它的峰值CPU为50%25-75%25+)。这使用了带有Java接口的本机语音引擎(Windows、Linux和Mac兼容)。|1178013|有各种各样的声音和语言。|1178014|entityMap|0|LINK|mutability|MUTABLE|url|http://www.naturalvoices.att.com/^0|4|8|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|R|8|@]|9|@$A|S|B|T|1|U]]|C|$]]|$1|D|3|E|5|6|7|V|8|@]|9|@]|C|$]]|$1|F|3|G|5|6|7|W|8|@]|9|@]|C|$]]|$1|H|3|I|5|6|7|X|8|@]|9|@]|C|$]]|$1|J|3|-4|5|6|7|Y|8|@]|9|@]|C|$]]]|K|$L|$5|M|N|O|C|$P|Q]]]]

I've used <a href="http://www.naturalvoices.att.com/" rel="noreferrer">AT&amp;T Natural Voices</a> which provides JSAPI and MS SAPI hooks. It provides excellent quality voices, a good "general" speech dictionary, many controls over pronunciation, and multiple languages. It's a little pricey, but works very well.

I used it to read important sensor telemetry to drivers in a mobile sensor application. We had no complaints about the voice quality. It had about 75% out-of-the-box accuracy with scientific terms and a much higher (maybe 90%+) with normal dialogue. We got it up to about 99+% accuracy by using markups (most errors were on scientific terms with unusual phoneme combinations).

It was a bit hard on the processor (we were running on a Pentium-III equivalent machine and it was pushing 50%-75% peak CPU). This uses a native speech engine (Windows, Linux, and Mac compatible) with a Java interface.

There's a huge variety of voices and languages...

blocks|key|856287|text|非常感谢大家，诀窍就在FreeTTS源代码中。简单地说:如果以java+-jar+freetts.jar+some-more-args-here的形式运行，它的拼写比以bin/Server.jar和bin/Client.jar的方式执行时要少。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|856288|entityMap^0|V|15|0^^$0|@$1|2|3|4|5|6|7|H|8|@$9|I|A|J|B|C]]|D|@]|E|$]]|$1|F|3|-4|5|6|7|K|8|@]|D|@]|E|$]]]|G|$]]

Thanks a lot everyone, the trick is in FreeTTS source. Briefly: if being run as <code>java -jar freetts.jar some-more-args-here</code>, it spells lesser words than when being executed in a manner of bin/Server.jar and bin/Client.jar.

blocks|key|856306|text|我使用了FreeTTS，但很难让MBrola声音在我的MacbookPro上运行。我确实让MBrola声音在Windows+(痛苦地)和Linux上运行。我没有运气在FreeTTS上加载任何其他的语音包，这是一个遗憾，因为提供的声音是可怕的，海事组织。除此之外，我在Cloudgarden方面也取得了一些成功，但这只能在Windows上运行。我很想听听其他声音引擎的成功/失败，因为这类工作特别具有挑战性。我也在玩Sphinx4。我昨晚刚刚删除了JVXML+(它似乎是基于Sphinx4的)，但是由于一些奇怪的原因，它无法运行。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|856307|entityMap^0|0^^$0|@$1|2|3|4|5|6|7|D|8|@]|9|@]|A|$]]|$1|B|3|-4|5|6|7|E|8|@]|9|@]|A|$]]]|C|$]]

I used FreeTTS but had a major problem getting the MBrola voices to run on My MacbookPro. I did get MBrola voices to run on Windows (painfully) and Linux. I've had no luck loading any other voice packages on FreeTTS which is a shame because the supplied voices are horrible IMO. Outside of that I had a little success with Cloudgarden as well but that only runs on Windows AFAIK. I'd be interested to hear others successes/failures with Voice engines as this type of work is particular challenging. I'm also toying a bit with Sphinx4. I just pulled down JVXML (which appears to be based on Sphinx4) last night but could not get it to run for some strange reason.

blocks|key|1178077|text|我对玛丽有所贡献。我觉得如果一个比我聪明的人把HMM的声音从核心中分离出来(这些声音不需要大数据集和声音好)，它就有潜力了。我也试图做一个事件系统，以自由发送事件时，它说了一个字。我已经取得了成功，但它现在在linux中被打破了。(可能是因为计时器错误)。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1178078|entityMap^0|0^^$0|@$1|2|3|4|5|6|7|D|8|@]|9|@]|A|$]]|$1|B|3|-4|5|6|7|E|8|@]|9|@]|A|$]]]|C|$]]

I've contributed to mary. I feel it has potential if someone smarter than me separated the HMM voices out of the core (those voices don't need large data sets and sound ok). I'm also trying to do a event system to freetts to send events when it says a word. I've had success, but it is broken in linux now. (probably because of a timer bug).

blocks|key|856374|text|我对MarryTTS感到很不舒服，它有多语言和清晰的声音可供理解。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|856375|不能将语音转换为文本，斯芬克斯4-5前α是更好的选择。我给一个拇指，因为它有可调，灵活性和可修改的识别器和语法。|856376|entityMap|0|LINK|mutability|MUTABLE|url|http://mary.dfki.de/|1|https://cmusphinx.github.io/wiki/download/^0|2|8|0|0|B|9|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]]]]

I found little comfortable with <a href="http://mary.dfki.de/" rel="nofollow noreferrer">MarryTTS</a> It has multilanguage and clear voice to understand.

T convert speech to text, the better optiion is <a href="https://cmusphinx.github.io/wiki/download/" rel="nofollow noreferrer">sphinx4-5prealpha</a>.
I give one thumb, because it has adjustable, flexibility and modifiable recognizer and grammer.

I'm now in search for a Java Text to Speech (TTS) framework. During my investigations I've found several JSAPI1.0-(partially)-compatible frameworks listed on <a href="http://java.sun.com/products/java-media/speech/reference/codesamples/index.html" rel="noreferrer">JSAPI Implementations page</a>, as well as a pair of Java TTS frameworks which do not appear to follow JSAPI spec (<a href="http://mary.dfki.de/" rel="noreferrer">Mary</a>, <a href="http://www.say-it-now.com/mainsite.htm" rel="noreferrer">Say-It-Now</a>). I've also noted that currently no reference implementation exists for JSAPI.

Brief tests I've done for FreeTTS (first one listed in JSAPI impls page) show that it is far from reading simple and obvious words (examples: ABC, blackboard). Other tests are currently in progress.

And here goes the question (6, actually):

<ol>
<li>Which of the Java-based TTS frameworks have you used?</li>
<li>Which ones, by your opinion, are capable of reading the largest wordbase?</li>
<li>What about their voice quality?</li>
<li>What about their performance?</li>
<li>Which non-Java frameworks with Java bindings are there on the scene?</li>
<li>Which of them would you recommend?</li>
</ol>

Thank you in advance for your comments and suggestions.

Java: Text to Speech engines overview

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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我现在正在寻找Java文本到语音(TTS)框架。在我的研究中，我发现了几个JSAPI1.0-(部分)-compatible框架列在上，以及一对不符合JSAPI规范(，)的Java框架。我还注意到，目前没有JSAPI的引用实现。我为FreeTTS所做的简短测试( JSAPI内隐式页面中列出的第一个)表明，它远远没有阅读简单而明显的单词(例如: ABC、黑板)。其他测试目前正在进行中。下面是问题(实际

问Java:文本到语音引擎概述
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回答 9

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