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Multimodal Information Group

We research and develop measurement and evaluation methods to advance and promote the use of technologies that provide more effective access to multimedia and multi-lingual information.

The group focuses on measurement and evaluation methods to facilitate the use of technologies that provide easier access to multimedia and multi-lingual information and that improve human-computer interface modalities. These technologies include recognizing and/or transforming information in speech, text, images, video, and other multimedia modalities, and the fusion of heterogeneous media content.  Focus areas include speech recognition, speaker recognition, language recognition, machine translation, image processing, image understanding, video processing, visual recognition, 2-D and 3D shape analysis, image quality assessment, and interoperable digital media access.

Projects and Programs

Speech Analytics

The Multimodal Information Group's speech analytics program has a long history of activities supporting the development of technologies that extract content

Machine Translation

The Multimodal Information Group's machine translation (MT) program includes several activities contributing to machine translation technology and metrology

Video Analytics

The Multimodal Information Group's (MIG) video analytics program includes several activities contributing to the development of technologies that extract

Publications

NIST 2020 CTS Speaker Recognition Challenge Evaluation Plan

Author(s)
Seyed Omid Sadjadi, Craig S. Greenberg, Elliot Singer, Douglas A. Reynolds, Lisa Mason
Following the success of the 2019 Conversational Telephone Speech (CTS) Speaker Recognition Challenge, which received 1347 submissions from 67 academic and

Contacts