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1
The 2016 NIST Speaker Recognition Evaluation
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2
Cascading Oscillators in Decoding Speech: Reflection of a Cortical Computation Principle
Ghitza,Oded. - 2016
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3
The MITLL NIST LRE 2015 Language Recognition System
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4
Investigation of Back-off Based Interpolation Between Recurrent Neural Network and N-gram Language Models (Author's Manuscript)
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5
Robust Speech Processing & Recognition: Speaker ID, Language ID, Speech Recognition/Keyword Spotting, Diarization/Co-Channel/Environmental Characterization, Speaker State Assessment
In: DTIC (2015)
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6
A Novel Scheme for Speaker Recognition Using a Phonetically-Aware Deep Neural Network
In: DTIC (2014)
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7
VOCALinc
In: DTIC (2014)
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8
How Autism Affects Speech Understanding in Multitalker Environments
In: DTIC (2014)
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9
Development and Utility of Automatic Language Processing Technologies. Volume 2
In: DTIC (2014)
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10
Understanding Tonal Languages
In: DTIC (2013)
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11
Computational Modeling of Emotions and Affect in Social-Cultural Interaction
In: DTIC (2013)
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12
What's Wrong With Automatic Speech Recognition (ASR) and How Can We Fix It?
In: DTIC (2013)
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13
A Submodularity Framework for Data Subset Selection
In: DTIC (2013)
Abstract: This report describes the outcome of the project A Submodularity Framework for Data Subset Selection. The goal of the project was to develop and evaluate novel submodular functions for the purpose of subselecting large sets of acoustic and text data. The subselected data sets were used to train acoustic models for automatic speech recognition or translation models for machine translation, respectively. The submodular selection techniques were evaluated against random data selection and the best comparable data selection technique previously reported in the literature. Our results demonstrate that submodular data selection outperforms all baseline techniques, i.e. for a fixed data subset size, submodular selection resulted in systems with better performance. Additionally, submodular selection was applied to the problem of feature selection, where it outperformed standard modular feature selection techniques.
Keyword: *MACHINE TRANSLATION; AUTOMATIC; AUTOMATIC SPEECH RECOGNITION; CLASSIFICATION; Cybernetics; DATA PROCESSING; DATA SELECTION; FEATURE SELECTION; LEARNING MACHINES; Linguistics; SELECTION; SPEECH RECOGNITION; SUBMODULAR FUNCTIONS; Voice Communications; WUH0CL; WUOMSS0005
URL: http://www.dtic.mil/docs/citations/ADA595011
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA595011
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14
A Spoken Dialogue System for Command and Control
In: DTIC (2012)
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15
Speech Synthesis Using Perceptually Motivated Features
In: DTIC (2012)
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16
Familiar Speaker Recognition
In: DTIC (2012)
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17
Machine Recognition vs Human Recognition of Voices
In: DTIC (2012)
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18
Speaker Clustering for a Mixture of Singing and Reading (Preprint)
In: DTIC (2012)
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19
Open-Source Multi-Language Audio Database for Spoken Language Processing Applications
In: DTIC (2012)
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20
Effects of Speech Intensity on the Callsign Acquisition Test (CAT) and Modified Rhyme Test (MRT) Presented in Noise
In: DTIC (2012)
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