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Acoustic analysis and measurements of distorted speech in the NZ population
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Acoustic analysis and measurements of distorted speech in the NZ population
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Acoustic analysis and measurements of distorted speech in the NZ population
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The 2016 NIST Speaker Recognition Evaluation
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Acoustic analysis and computerized reconstruction of speech in laryngectomised individuals
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Acoustic analysis and computerized reconstruction of speech in laryngectomised individuals
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Acoustic analysis and computerized reconstruction of speech in laryngectomised individuals
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8
The Voice Conversion Challenge, 2016: multidimensional scaling (MDS) listening test results ...
Unkn Unknown. - : University of Edinburgh. School of Informatics. Centre for Speech Technology Research, 2016
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Cascading Oscillators in Decoding Speech: Reflection of a Cortical Computation Principle
Ghitza,Oded. - 2016
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10
The MITLL NIST LRE 2015 Language Recognition System
Abstract: In this paper we describe the most recent MIT Lincoln Laboratory language recognition system developed for the NIST 2015 Language Recognition Evaluation (LRE). The submission features a fusion of five core classifiers, with most systems developed in the context of an i-vector framework. The 2015 evaluation presented new paradigms. First, the evaluation included fixed training and open training tracks for the first time; second, language classification performance was measured across 6 language clusters using 20 language classes instead of an N-way language task; and third, performance was measured across a nominal 3-30 second range. Results are presented for the overall performance across the six language clusters for both the fixed and open training tasks. On the 6-cluster metric the Lincoln system achieved overall costs of 0.173 and 0.168 for the fixed and open tasks respectively.
Keyword: algorithms; artificial neural networks; AUTOMATED SPEECH RECOGNITION; classification; DEEP LEARNING; digital data; discriminant analysis; dnn(deep neural networks); language detection; language recognition systems; monte carlo method; natural language; normal distribution; order statistics; pattern recognition; statistical analysis; Statistics and Probability; Voice Communications
URL: http://www.dtic.mil/docs/citations/AD1033667
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=AD1033667
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11
Investigation of Back-off Based Interpolation Between Recurrent Neural Network and N-gram Language Models (Author's Manuscript)
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12
The interaction of long-term voice quality with the realisation of focus ; Speech Prosody 2016
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13
Bionic voice (pilot study) : natural speech restoration for voice impaired individuals
Sharifzadeh, Hamid; Allen, Jacqui E.; Sarrafzadeh, Hossein. - : Health Informatics New Zealand, 2016. : Unitec Institute of Technology, 2016. : Auckland Voice and Swallow, 2016
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14
Bionic voice (pilot study) : natural speech restoration for voice impaired individuals
Sharifzadeh, Hamid; Allen, Jacqui E.; Sarrafzadeh, Hossein. - : Health Informatics New Zealand, 2016
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15
Bionic voice (pilot study) : natural speech restoration for voice impaired individuals
Sharifzadeh, Hamid; Allen, Jacqui E.; Sarrafzadeh, Hossein. - : Health Informatics New Zealand, 2016
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16
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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17
The Effects of Student Narration in College Engineering Classes
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18
Study of Discussion Record Analysis Using Temporal Data Crystallization and Its Application to TV Scene Analysis
In: DTIC (2015)
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19
Respirator Speech Intelligibility Testing with an Experienced Speaker
In: DTIC (2015)
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20
A Novel Scheme for Speaker Recognition Using a Phonetically-Aware Deep Neural Network
In: DTIC (2014)
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