Catalogue technologique

The targeted users and customers are the search engine actors, and all industrialists interested in document retrieval.

• Document retrieval
• Information recommendation
• Advertising

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

Targeted integrators and users are industrial or academic laboratories in the field of audio signal processing and in particular for music information retrieval tasks.

• Music information retrieval.
• Audio segmentation.

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

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

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)

Everyone who has to deal with Character recognition on grey level images. Specifically targeted for low quality documents, the system also outperforms on the shelf OCR engines for good quality images.

• Heritage scanning
• Printing

• Researchers
• Developers
• Integrators

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

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

• Spoken document processing

Classification of music items are generally primarily based on their belonging to a music genre: electronica, jazz, pop/ rock… However, the editorial meta-data related to the genre are generally only accessible at the artist level (the whole set of music tracks produced by one artist will belong to the same music genre whatever the tracks content). Ircammusicgenre is a software which allows the automatic estimation of the belonging of a music track to music genres. The list of music genres considered by the software can be pre-determined by Ircam (electronica, jazz, pop/rock…) or can be adapted to categories relevant to the partner, provided a sufficient number of sound examples per category.

Ircammusicgenre also allows to perform multi-labeling of a music track, i.e. assigning a set of genre labels instead of a single genre. In this case, a weighting is assigned to each estimated label.

Ircammusicmood is a software which allows the automatic estimation of the music mood of a music track to music mood. Music mood relates to the “mood” that a track suggests: positive, sad, powerful, calming…

As for the music genre, the list can be predetermined by Ircam or discussed with the partner. Multi-labels can also be applied to the music mood classification.

• Online music providers
• Online music portals