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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
418

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
418

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

Sep, 2014
In Proceedings
418

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
418

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
418

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
418

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
418

The paper presents approaches for identifying real-world demographic attributes based on language use in the virtual world.

Jul, 2014
In Book
418

This work presents Trial-Based Calibration (TBC), a novel, automated calibration technique robust to both unseen and widely varying conditions.

Jun, 2014
In Proceedings
418

This paper proposes two novel frontends for robust language identification (LID) using a convolutional neural network (CNN) trained for automatic speech recognition (ASR).

Jun, 2014
In Proceedings
418

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