Catalogue technologique

All content providers may be interested in the automatic characterization of the in-home audience. When personalization of video – either Video on Demand (VoD) or broadcast – or ads is targeted, these same providers will see an interest in having this module to help the automatic personalization of provided content.

The audience characterization module may also be used by end users to manage their own content at home. Furthermore, content providers and advertisers will be interested in the ‘level of attention’ information provided by the module.

Provided content personalization
Knowing what the audience is:

• VoD portals may be personalized and proper home pages may be displayed;
• Ads may be personalized;
• According videos and broadcast programs may be proposed.

• Researchers
• Developers
• Integrators

The use of automatic speech recognition is so manifold that it is hard to list here. The main usages today are customer interaction via the telephone, healthcare dictation and usage on car navigation systems and smartphones. These applications will with increasingly better technology extend to audio mining, speech translation and an increased use of human computer interaction via speech.

The targeted users and customers are the multimedia industry actors, and any content and service provider with speech data.

• Spoken document processing

Ircamaudiosim allows the development of music recommendation based on music content similarity. It can therefore be used for any system (online or offline) requiring music recommendation, such as for the development of a recommendation engine for online music service or offline music collection browsing.

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

The targeted audience includes projects that require  usual Natural Language Processing tools for production and research purpose.

• Natural language processing
• Contents analysis
• Information retrieval

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.

• Researchers
• Developers
• Integrators

• Sub-titling of broadcast via television or internet
• Internet search in audio and video material (cross-language retrieval)

With AlvisAE, remote users display annotated documents in their web browser and manually create new annotations over the text and share them.

• Any sector using text documents
• Information Extraction
• Contents analysis

• Independent Software Vendors
• Business Process Outsourcers

Bank, Insurance, Administration, Telecom and Utility Companies, Historical Document Conversion

• 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