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We propose to demonstrate the Open Language Interface for Voice Exploitation (OLIVE) speech-processing system, which SRI International developed under the DARPA Robust Automatic Transcription of Speech (RATS) program. The technology underlying OLIVE was designed to achieve robustness to high levels...

Sep, 2016
In Proceedings
Topics:
412

The rate at which endangered languages can be documented has been highly constrained by human factors.

Sep, 2016
In Proceedings
Topics:
412
By Takaaki Hori, Zhuo Chen, Hakan Erdogan, John R. Hershey, Jonathan Le Roux, Vikramjit Mitra, Shinji Watanabe

This paper introduces the MERL/SRI system designed for the 3rd CHiME speech separation and recognition challenge (CHiME-3).

Dec, 2015
In Proceedings
412

Convolutional deep neural networks (CDNNs) have consistently shown more robustness to noise and background contamination than traditional deep neural networks (DNNs).

Dec, 2015
In Proceedings
412
By Wen Wang, Haibo Li, Heng Ji

We propose approaches improving statistical machine translation (SMT) performance, by developing name-aware language model adaptations and sparse features, in addition to extracting nameaware translation grammar and rules, adding name phrase table, and name translation driven decoding.

Dec, 2015
In Proceedings
412
By Luciana Ferrer, Yun Lei, Mitchell McLaren, Nicolas Scheffer

This paper compares different approaches for using deep neural networks (DNNs) trained to predict senone posteriors for the task of spoken language recognition (SLR).

Oct, 2015
Article
412

We introduce a new dataset for the study of the effect of highly non-stationary noises on language recognition (LR) performance.

Sep, 2015
In Proceedings
412
By Andreas Tsiartas, Andreas Kathol, Elizabeth Shriberg, Massimiliano de Zambotti, Adrian Willoughby

Most research on detecting a speaker’s cognitive state when interacting with a dialog system has been based on selfreports, or on hand-coded subjective judgments based on audio or audio-visual observations.

Sep, 2015
In Proceedings
412

There is a critical need for detection and monitoring of Post-Traumatic Stress Disorder (PTSD) in both military and civilian populations.

Sep, 2015
In Proceedings
412

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