Vocre apportera la traduction des appels visio. Vocre 2.0 Beta - LAUNCH Conference Video. Bilingual avatar speaks Mundie language. (PhysOrg.com) -- This week's Microsoft Big Idea event, TechFest 2012, presented the latest advances on the part of researchers at Microsoft. A bilingual talking head received much of the attention. Called "Monolingual TTS," the Microsoft research effort involves software that can translate the user’s speech into another language and in a voice that sounds like the original user’s. As Microsoft explains, with the use of a speaker’s monolingual recording, the system's algorithm can render speech sentences in different languages for building "mixed coded bilingual text to speech (TTS) systems.
" According to the team, “We have recordings of 26 languages which are used to build our TTS of corresponding languages. The software does this by first “learning” what the user’s voice sounds like. A synthetic version of Mundie's voice, in English, welcomed the audience to Microsoft Research. Explore further: Visions of 1964 World's Fair didn't all come true.
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Pour fournir aux internautes des traductions de bonne qualité à faible coût, le Japonais anydooR a lancé la plate-forme Conyac.cc. Son rôle ? Mettre en relation un individu qui cherche à traduire un contenu, et des volontaires prêts à effectuer cette tâche à prix réduit.
Vous François-Régis Chaumartin ? Francois-Regis Chaumartin le 2010-04-28 à 17h52 from Jean Michel Billaut on Vimeo. Le droit c'est bien connu, conduit à tout... Mais la linguistique aussi... Comment faire comprendre à une machine le langage humain ? La société de François : Proxem est au confluent de 2 groupes de technologies : d'une part le traitement automatique du langage naturel (oral ou écrit), et d'autre part le Web sémantique... François nous fait un topo des plus intéressants sur ces groupes de technologies. Comment "monitorer" en temps réel le buzz médiatique ? Qu'elle est la concurrence de Proxem ? Quel est son business model ? Vous faites une visio/skype avec un japonais qui ne parle pas le français. Pour contacter François Régis Chaumartin : frc(arobase)proxem.com © Une production du Billautshow - the video for the rest of us - the e-billautshow : the french worldwide hub. Proxem > Home. Sphinx-4 - A speech recognizer written entirely in the Java(TM)
Overview Sphinx4 is a pure Java speech recognition library. It provides a quick and easy API to convert the speech recordings into text with the help CMUSphinx acoustic models. It can be used on servers and in desktop applications. Beside speech recognition Sphinx4 helps to identify speakers, adapt models, align existing transcription to audio for timestamping and more. Sphinx4 supports US English and many other languages.
Using in your projects As any library in Java all you need to do to use sphinx4 is to add jars into dependencies of your project and then you can write code using the API. The easiest way to use modern sphinx4 is to use modern build tools like Apache Maven or Gradle. <project> ... Then add sphinx4-core to the project dependencies: <dependency><groupId>edu.cmu.sphinx</groupId><artifactId>sphinx4-core</artifactId><version>5prealpha-SNAPSHOT</version></dependency> Add sphinx4-data to dependencies as well if you want to use default acoustic and language models: Basic Usage or. Sphinx speech to text - Metavid. Sphinx is a speech recognition system that is being developed at Carnegie Mellon University.
OpenGov is using sphinx3 primarily, which works under GNU/Linux. CMU has released: sphinx2 (slightly faster, but less accurate) sphinx3 (slower but more accurate) sphinx4 (java) pocketsphinx Sphinx webpage If you are new to speech recognition, there are three main steps involved in creating a useful system. You need: An appropriate language model (just text, nothing to do with sound) An appropriate dictionary for the language model An appropriate acoustic model You should usually create your own language model based on text transcriptions relating to the people whose voices you want to recognize.
You should have a dictionary that contains pronunciations of all words that you want to recognize, making sure to add pronunciations that are unique to your subjects. You should choose an acoustic model, and adapt it based on *accurate* transcriptions and audio files spoken by your subjects. Tutorials: Sphinx. From Sourceforge: Sphinx is a speaker-independent large vocabulary continuous speech recognizer under Berkeley's style license. It is also a collection of open source tools and resources that allows researchers and developers to build speech recognition system.
Sphinx project pages The CMU Sphinx Group Open Source Speech Recognition EnginesSphinx Sourceforge Project CMU Sphinx: Open Source Speech Recognition Sphinx and Asterisk A detailed example and code(link mirror) for a client/server approach. Built for use with Asterisk, but could work with any number of projects. There are also some discussions to be found on the Asterisk-Users list for example here. Quote by Stephan A. It is fairly easy to integrate Asterisk with Sphinx, the only trouble is that youneed to have an Acoustic Model (AM) for 8KHz, which are not (yet) readily available.
There is a Language Model (LM) and AM included with Sphinx, but it is designed for a sampling rate of 16KHz andtherefore does not work with Asterisk. Speech to text conversion in Linux. Part 17. Conversation mode in Google Translate.