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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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4
The 2016 NIST Speaker Recognition Evaluation
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5
Acoustic analysis and computerized reconstruction of speech in laryngectomised individuals
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6
Acoustic analysis and computerized reconstruction of speech in laryngectomised individuals
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7
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
Abstract: Motivated by the possible role of brain rhythms in cortical function, we postulate a cortical computation principle by which decoding is performed within a time-varying window structure, synchronized with the input on multiple time scales. The windows are generated by a segmentation process, implemented by an array of cascaded oscillators. Correct segmentation is a critical prerequisite for correct decoding, and segmentation is correct as long as the oscillators successfully track the input rhythms. Syllabic segmentation utilizes flexible oscillators operating in the theta range (39Hz) by tracking the input syllabic rhythms, and prosodic segmentation is driven by flexible oscillators in the delta range(0.53 Hz), tracking prosodic rhythms. A model (TEMPO) was developed which is capable of explaining a variety of psychophysical and neuroimaging data difficult to explain by current models of speech perception, but emerging naturally from the architecture of the model. The key properties that enable such accountability are: (i) the capability of the oscillators to track and stay locked to the input rhythm, and (ii) the cascaded nature of the oscillators within the array.
Keyword: automated speech recognition; brain rhythms; cascaded cortical oscillations; DECODING; decoding time; memory; memory access; oscillators; parsing; perception; PHASE LOCKED SYSTEMS; phase locking; segmentation; speech perception; Voice Communications
URL: http://www.dtic.mil/docs/citations/AD1016230
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=AD1016230
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10
The MITLL NIST LRE 2015 Language Recognition System
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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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