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We present a system for detection of lexical stress in English words spoken by English learners. This system was designed to be part of the EduSpeak® computer-assisted language learning (CALL) software.

Feb, 2015
Journal
412

Recurrent Neural Networks (RNN) have been successfully applied for improved speech recognition and statistical machine translation (SMT) for N-best list re-ranking.

Dec, 2014
In Proceedings
412

While human listeners can understand speech in reverberant conditions, indicating that the auditory system is robust to such degradations, reverberation leads to high word error rates for automatic speech recognition (ASR) systems.

Dec, 2014
In Proceedings
412

Though depression is a common mental health problem with significant impact on human society, it often goes undetected. We explore a diverse set of features based only on spoken audio to understand which features correlate with self-reported depression scores according to the Beck depression...

Nov, 2014
In Proceedings
412

This paper explores in depth a recently proposed approach to spoken language recognition based on the estimated posteriors for a set of senones representing the phonetic space of one or more languages.

Sep, 2014
In Proceedings
412

This work attempts to tackle the problem of content mismatch for short duration speaker verification.

Sep, 2014
In Proceedings
412

This paper applies a convolutional neural network (CNN) trained for automatic speech recognition (ASR) to the task of speaker identification (SID).

Sep, 2014
In Proceedings
412

Deep Neural Network (DNN) based acoustic models have shown significant improvement over their Gaussian Mixture Model (GMM) counterparts in the last few years.

Sep, 2014
In Proceedings
412

We recently proposed the use of deep neural networks (DNN) in place of Gaussian Mixture models (GMM) in the i-vector extraction process for speaker recognition.

Sep, 2014
In Proceedings
412

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

Sep, 2014
In Proceedings
412

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