automatic speech recognition

ATCO2 - Automatic collection and processing of voice data from air-traffic communications

ATCO2 is H2020 EC project. It has received funding from the Clean Sky 2 Joint Undertaking (JU) under grant agreement No 864702.

SARAL - Summarization and domain‐Adaptive Retrieval of Information Across Languages

SARAL is IARPA U.S. project coordinated by USC Viterbi School of Engineering, California.

SHAPED: Speech Hybrid Analytics Platform for Consumer and Enterprise Devices

The objective of the SHAPED project is to define a software architecture and set of algorithms enabling the most effective processing of speech between the embedded device and the cloud, balancing user experience and operation costs across the range of Logitech voice-enabled interface devices.

SM2 - extracting Semantic Meaning from Spoken Material

SM2 project aims to develop a customisable technology for “semantic keyword and concept detection” allowing bank institutes to meet MIFID requirements. The solution allows to search in all kind of electronic documents (speech/video/text) and analyse according to predefined semantic categories.