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We propose a novel approach for noise-robust speaker recognition, where the model of distortions caused by additive and convolutive noises is integrated into the i-vector extraction framework.

May, 2013
In Proceedings
418
By Vikramjit Mitra

Improving the robustness of speech recognition systems to cope with adverse background noise is a challenging research topic.

May, 2013
In Proceedings
418

We address the problem of retrieving spoken information from noisy and heterogeneous audio archives using a rich system combination with a diverse set of noise-robust modules and audio characterization.

May, 2013
In Proceedings
418
By Vikramjit Mitra, Wen Wang, Colleen Richey

We present a neural network model to estimate articulatory trajectories from speech signals where the model was trained using synthetic speech signals generated by Haskins Laboratories’ task-dynamic model of speech production.Acoustic Modeling for Automatic Speech Recognition.

May, 2013
In Proceedings
418

This article describes our submission to the speaker identification (SID) evaluation for the first phase of the DARPA Robust Audio and Transcription of Speech (RATS) program.

May, 2013
In Proceedings
418

We present a novel approach for improving communication success between users of speech-to-speech translation systems by automatically detecting errors in the output of automatic speech recognition (ASR) and statistical machine translation (SMT) systems.

May, 2013
In Proceedings
418
By Vikramjit Mitra

Speech can be represented as a constellation of constricting vocal tract actions called gestures, whose temporal patterning with respect to one another is expressed in a gestural score.

Nov, 2012
Journal
418

This presentation describes the findings of the VERUS project in using virtual world language usage behavior to identify real world demographic attributes.

Oct, 2012
In Proceedings
418

Because of the popularity of online multimedia videos, there has been much interest in recent years in acoustic concept detection and classification for the improvement of online video search.

Oct, 2012
In Proceedings
418

Keyword Spotting (KWS) aims at detecting speech segments that contain a given query within large amounts of audio data.

Sep, 2012
In Proceedings
418

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