Publications
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Simplified VTS-Based I-Vector Extraction in Noise-Robust Speaker Recognition
In this work, we propose an efficient simplification scheme, named sVTS, in order to show that the VTS approach gives improvements in large scale applications compared to state-of-the-art systems.
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Tripod Fall: Concept and Experiments of a Novel Approach to Humanoid Robot Fall Damage Reduction
This paper addresses a new control strategy to reduce the damage to a humanoid robot during a fall. Instead of following the traditional approach of finding a favorable configuration with…
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Global Ethics and Virtual Worlds: Ensuring Functional Integrity in Transnational Research Studies
This paper examines a number of issues in this research context, with particular stress on the challenges posed by transnational experimental projects in virtual worlds and social networks.
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Highly Accurate Phonetic Segmentation Using Boundary Correction Models and System Fusion
Accurate phone-level segmentation of speech remains an important task for many subfields of speech research. We investigate techniques for boosting the accuracy of automatic phonetic segmentation based on HMM acoustic-phonetic…
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Uncovering Cryptic Glycan Markers in Multiple Sclerosis (MS) and Experimental Autoimmune Encephalomyelitis (Eae)
We observed epitope-spreading of autoantibody responses to a variety of antigenic structures in the cerebrospinal fluid (CSF) of patients with multiple sclerosis (MS) and in the serum of mice with…
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Clock Synchronization on the RAX Spacecraft
The Radio Aurora Explorer (RAX) is a CubeSat that was developed to study space weather in Earth׳s ionosphere. Accuracy of the onboard clock is critical for processing the radar measurements.
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Highly Accurate Phonetic Segmentation Using Correction Models and System Fusion
We investigate techniques for boosting the accuracy of automatic phonetic segmentation based on HMM acoustic-phonetic models.
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Medium-Duration Modulation Cepstral Feature for Robust Speech Recognition
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.
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NV-CMOS HD Camera for Day/Night Imaging
SRI International (SRI) has developed a new multi-purpose day/night video camera with low-light imaging performance comparable to an image intensifier, while offering the size, weight, ruggedness, and cost advantages enabled…
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Submodular Subset Selection for Large-Scale Speech Training Data
We address the problem of subselecting a large set of acoustic data to train automatic speech recognition (ASR) systems. To this end, we apply a novel data selection technique based…
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Articulatory features from neural networks and their role in speech recognition
This paper presents a deep neural network (DNN) to extract articulatory information from the speech signal and explores different ways to use such information in a continuous speech recognition task.
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Feature Fusion for High-Accuracy Keyword Spotting
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.