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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)
Abstract: We propose a novel framework for speaker recognition in which extraction of sufficient statistics for the state-of-the-art i-vector model is driven by a deep neural network (DNN) trained for automatic speech recognition (ASR). Specifically, the DNN replaces the standard Gaussian mixture model (GMM) to produce frame alignments. The use of an ASR-DNN system in the speaker recognition pipeline is attractive as it integrates the information from speech content directly into the statistics, allowing the standard backends to remain unchanged. Improvement from the proposed framework compared to a state-of-the-art system are of 30% relative at the equal error rate when evaluated on the telephone conditions from the 2012 NIST speaker recognition evaluation (SRE). The proposed framework is a successful way to efficiently leverage transcribed data for speaker recognition, thus opening up a wide spectrum of research directions.
Keyword: *SPEECH RECOGNITION; DEEP NEURAL NETWORK; NEURAL NETS; STATISTICS; Voice Communications
URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA613971
http://www.dtic.mil/docs/citations/ADA613971
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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)
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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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