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Home » Archives for Martin Graciarena » Page 2
Martin Graciarena

Martin Graciarena

Technical Manager, Speech Technology and Research Laboratory
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Publications

Speech & natural language publications April 1, 2015

Softsad: Integrated frame-based speech confidence for speaker recognition

Martin Graciarena, Mitchell McLaren

In this paper we propose softSAD:  the direct integration of speech posteriors into a speaker recognition system instead of using speech activity detection (SAD). 

Speech & natural language publications November 1, 2014

The SRI AVEC-2014 Evaluation System

Martin Graciarena, Dimitra Vergyri, Colleen Richey, Andreas Kathol

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 rating scale. 

Speech & natural language publications September 1, 2014

Evaluating Robust Features on Deep Neural Networks for Speech Recognition in Noisy and Channel Mismatched Conditions

Martin Graciarena, Horacio Franco

In this work we present a study exploring both conventional DNNs and deep Convolutional Neural Networks (CNN) for noise- and channel-degraded speech recognition tasks using the Aurora4 dataset. 

Speech & natural language publications September 1, 2014

Recent Improvements in SRI’s Keyword Detection System for Noisy Audio

Dimitra Vergyri, Horacio Franco, Martin Graciarena

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

Information & computer science publications May 1, 2014

Medium-Duration Modulation Cepstral Feature for Robust Speech Recognition

Horacio Franco, Martin Graciarena, Dimitra Vergyri

In this paper, we present the Modulation of Medium Duration Speech Amplitude feature, which is a composite feature capturing subband speech modulations and a summary modulation.

Speech & natural language publications May 1, 2014

Feature Fusion for High-Accuracy Keyword Spotting

Dimitra Vergyri, Horacio Franco, Martin Graciarena

This paper assesses the role of robust acoustic features in spoken term detection (a.k.a keyword spotting—KWS) under heavily degraded channel and noise corrupted conditions. 

Speech & natural language publications August 1, 2013

Improving Language Identification Robustness to Highly Channel-Degraded Speech through Multiple System Fusion

Aaron Lawson, Martin Graciarena, Mitchell McLaren

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.

Speech & natural language publications August 1, 2013

Damped oscillator cepstral coefficients for robust speech recognition

Horacio Franco, Martin Graciarena

This paper presents a new signal-processing technique motivated by the physiology of human auditory system.

Speech & natural language publications August 1, 2013

Strategies for high accuracy keyword detection in noisy channels

Andreas Kathol, Dimitra Vergyri, Horacio Franco, Martin Graciarena

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.

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