Catalogue technologique

• Researchers
• Developers
• Integrators

As translation quality is far below the work of professional human translators, machine translation is targeted to situations where instant access and low cost are key and high quality is not demanded, for example:

• Internet search (cross-language document retrieval)
• Internet (on-the-fly translation of foreign-language websites or news feeds)

• Systems integrators
• OEMs
• Service providers
• Application developers to take advantage of Movea’s state-of-the-art motion processing technology

• Man-machine interactions
• Remote control
• Digital TV
• Video Games
• Peripherals
• Smart Home

The targeted users and customers of language recognition technologies are actors in the multimedia and call center sectors, including academic and industrial organizations, as well as actors in the defense domain, interested in the processing of audio documents, and in particular if the collection of documents contains multiple languages.

A language identification system can be run prior to a speech recognizer. Its output is used to load the appropriate language dependent speech recognition models for the audio document.

Alternatively, the language identification might be used to dispatch audio documents or telephone calls to a human operators fluent in the corresponding identified language.

Other potential applications also involve the use of LID as a front-end to a multi-lingual translation system. This technology can also be part of automatic system for spoken data retrieval or automatic enriched transcriptions.

End-user application, Question-Answering is the easiest way to find information for everybody: ask the question as you want and obtain answers, not snippets or pages.

Search and find precise answers in any collection of texts, from the Web or any other source (voice recognition, optical character recognition, etc.), with eventual correction of the source text, ability to generate questions from generic requests, eventually a single word, ability to find similar questions and their answers, etc.

Monolingual and multilingual Question-Answering system. Languages: English, French (+ Spanish, Portuguese, Polish, with partners using the same API).

• Linguistic resources providers
• Audio content transcribers; Media transcribers
• Speech processing users and developers

• Language resources production
• Speech technology industry
• Media subtitling, conferences and meetings transcription services

The targeted users and customers are the multimedia industry actors, and all academic or industrial laboratories interested in textual document processing.

• Textual and multimedia document processing

Companies who want to integrate the transcription of human speech into their products.

Speech-to-Text technology is key to indexing multimedia content as it is found in multimedia databases or in video and audio collections on the World Wide Web, and to make it searchable by human queries. In addition, it offers a natural interface for submitting and executing queries.

This technology is further part of speech-translation services. In combination with machine translation technology, it is possible to design machines that take human speech as input and translate it into a new language. This can be used to enable human-to-human combination across the language barrier or to access languages in a cross-lingual way.

The targeted users and customers of speech-to-text transcription technologies are actors in the multimedia and call center sector, including academic and industrial organizations interested in the automatic mining processing of audio or audiovisual documents.

This core technology can serve as the basis for a variety of applications: multilingual audio indexing, teleconference transcription, telephone speech analytics, transcription of speeches, subtitling…

Large vocabulary continuous speech recognition is the key technology for enabling content-based information access in audio and audiovisual documents. Most of the linguistic information is encoded in the audio channel of audiovisual data, which once transcribed can be accessed using text-based tools.

Via speech recognition, spoken document retrieval can support random access using specific criteria to relevant portions of audio documents, reducing the time needed to identify recordings in large multimedia
databases. Some applications are data-mining, news-on-demand, and
media monitoring.

Automatic music summary generation aims at providing informative audio preview of the content of a music file (rather than the commonly used first 30s). It can therefore benefit to any service providing access to music items requiring a quick preview of the music files such as music providers, online music portals. It can also be installed on a personal computer as a preview of the local user’s music collection.

Automatic music structure estimation provides the description of the temporal organization of music files in terms of repetition of parts over time. It can be used for visualization and interaction with the playing of a music file (intelligent forward/ backward, accessing directly the most repeated parts). It can benefit to any developer of music players or software for music interaction.

• Online music providers
• Online music portals
• Music players developers
• Music software developers

The primary use of TyDI is the design of termino-ontologies for the indexation of textual documents. It can therefore be of great help for most  projects involved in natural language processing.

• Terminology structuration
• Textual document indexation
• Natural language processing