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We address the problem of subselecting a large set of acoustic data to train automatic speech recognition (ASR) systems.

May, 2014
In Proceedings
413

Though sparse features have produced significant gains over traditional dense features in statistical machine translation, careful feature selection and feature engineering are necessary to avoid overfitting in optimizations.

May, 2014
In Proceedings
413

Accurate phone-level segmentation of speech remains an important task for many subfields of speech research.

May, 2014
In Proceedings
413

The state-of-the-art in example-based multimedia event detection (MED) rests on heterogeneous classifiers whose scores are typically combined in a late-fusion scheme.

May, 2014
In Proceedings
413

Recently, researchers have tackled difficult voice biometrics problems that resonate with the defense and research communities.

Nov, 2013
In Proceedings
413

This study attempts to improve automatic phonetic segmentation within the HMM framework.

Aug, 2013
In Proceedings
413

We present design strategies for a keyword spotting (KWS) system that operates in highly degraded channel conditions with very low signal-to-noise ratio levels.

Aug, 2013
In Proceedings
413

The National Institute of Standards and Technology (NIST) 2012 speaker recognition evaluation posed several new challenges including noisy data, varying test-sample length and number of enrollment samples, and a new metric.

Aug, 2013
In Proceedings
413

Speech activity detection (SAD) on channel transmissions is a critical preprocessing task for speech, speaker and language recognition or for further human analysis.

Aug, 2013
In Proceedings
413

We describe a language identification system developed for robustess to noise conditions such as those encountered under the DARPA RATS program, which is focused on multi-channel audio collected in high noise conditions.

Aug, 2013
In Proceedings
413

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