Catalogue technologique

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

Question-answering is an end-user application. The purpose is to go beyond the traditional way of retrieving information through search engines. Our system is interactive, with both a speech (phone or microphone) and  text (web) interface.

QA system can be viewed as a direct extension of search engines. They allow a user to ask questions in natural language.

Everyone who has to deal with document image analysis.

Layout analysis is the first major step in a document image analysis workflow. The correctness of the output of page segmentation and region classification is crucial as the resulting representation is the basis for all subsequent analysis and recognition processes.

• Industry
• Service
• Patrimony
• Edition
• Administration

• Researchers
• Developers
• Integrators

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

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.

Any organization that wants to qualify, follow and analyze the contents it manages or that is created on the Internet.

• Monitoring of influence operations,
• Fight against disinformation
• Networks of opinion mapping,
• E-reputation
• Summary classification of consumer reviews,
• Detection of positions on social networks
• Make graphic analysis on the reviews to highlight the tendencies and the key concepts.
• Analyze the consumer insight to better understand him.

• 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.

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.

Everyone who has to deal with high quality reproduction of bonded books.

• Heritage scanning
• Printing

Everyone who has to deal with high quality reproduction of halftone images.

• Heritage scanning
• Printing