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EvalDictator team consists of many senior people from CMU, MERL, NIH, Sun and ex-Dragon.
Commonly, this application's installer has the following filename: cfxalpha200.dmg.zip. The most popular version of the program is 2.0. The software lies within Design & Photo Tools, more precisely Viewers & Editors. The bundle identifier for this application is com.cfx.alpha. This Mac app is an intellectual property of cf/x AG. If not mentioned otherwise, data are shown as mean ± SD. Significant differences between 1D11‐treated groups and groups treated with control antibody were assessed for each genotype by one‐way ANOVA with Newman Keuls post hoc test using GraphPad Prism version 7.0d (GraphPad Software for Mac OS X, San Diego, CA, USA).
Our overall goal is to encourage a new generation of speech recognition research and entrepreneurs by releasing state of the art open source speech technology, and making massive amounts of speech data freely available. Currently, speech recognition technology is only available from a handful of very large companies. Licensing and customizing this technology is very expensive and involves onerous and lengthy negotiations. We believe that is a barrier to innovation in this market.
In order to achieve these ends, we want to popularize speech recognition technology by building open source applications. These tools will be written in Java and will run on every major platform including Windows, OSX and Linux. Our target is computer users who wish to enter text in their native language, and prefer speech to the keyboard. These users may be professionals who require hands free text entry. For example, many Doctors prefer to enter reports via dictation. Another target is users who find it difficult to type text in their native language. For example, in many countries users must memorize many complicated key combination to enter basic text. Large countries ( e.g. China, Japan...) and countless smaller ethnic groups have this problem.
We also want to collect a huge corpus of speech and language data. This data will be used for speech research, and to further improve the EvalDictator technology. EvalDictator differs from standard Desktop dictation products such as NaturallySpeaking and ViaVoice because speaker adaptation and custom pronunciation dictionaries are performed as an Internet service. The speech and language data used to build custom models for individual users will be stored and used to improve the general models for everyone. EvalDictator applications will automatically update themselves as new models become available. The result is that the accuracy of EvalDictator applications will improve as more people use them.
We strongly believe that technology should be application driven. In other words, we want to solve real problems using speech recognition applications, and only extend the core technology as required by those applications. The domain of speech recognition is far too big for us to address all at once, so we want to focus on the tasks that will make the technology popular and successful.
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Finally, we are seeking support and funding. Collecting and storing massive amounts of audio data will require a serious infrastructure. We will need machines, storage, backup and a fat connection to the Internet. We will also need people to maintain the system. Also, if we afford to work on our software full time we can make much more rapid progress. Therefore we are seeking customers who require a custom solution that is not available from the existing vendors.
Therefore, we are currently building general tools, but looking for vertical domains. We want to release focused applications that solve a problem for some set of users. We hope to build our 'Eval Empire' one happy user group at a time.
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EvalDictator source code is free and open source with an 'Apache' style license. The code may be used in proprietary products, even if the products are not open source. The source code will be publicly available on SourceForge.net. EvalDictator will contain no patented IP.
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The acoustic and language models are also free, however, they need not be built from publicly available speech data, or be built by publicly available tools. In this way companies and researchers can donate 'eval' models to the project while keeping the data and tools proprietary.