Catalogue technologique

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 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.

• Researchers
• Developers
• Integrators

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

Web Question-answering is an end-user application. FIDJI is an open-domain QA system for French and English

Information retrieval on the Web or in document collections

One of the most important perceptual aspects of popular music is the succession of chords over time. Two tracks based on the same chord succession are perceived very similar and sometimes indicate a cover-version of the same composition. Automatic estimation of chord succession can therefore be used to perform search by similarity and play-list generation.
It can therefore benefit to music providers, online music portals.

Chord notation is also very popular for beginner musicians (a very large amount of guitar tabs are accessible and used over the web). Estimating automatically the chord succession of a given track can therefore be beneficial for personal users through the inclusion of the technology in local software.

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

• Professional customers:
  • Content owners
  • Content providers
  • Service providers
• Consumers

• Content targeting
• Content recommending
• Content retrieving
• Content discovering
• Content browsing
• Content replaying

Web contributors’ reviews and comments posted on dedicated web sites have proven to embed cleverness from which valuable descriptive metadata can be extracted. These descriptive metadata, while being synchronized with the content timeline or not, help any of the above usages and services about content. Furthermore, these associated metadata raise the value of the related content over time, which is of interest to content owners as well as to content providers.

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

Personal / professional managers of video collections

• 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 are the multimedia industry actors, and all academic or industrial laboratories interested in video analysis.

• Multimedia document processing
• Video indexing