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Occurrence table after data filtering for Ion PGM and MiSeq sequencing ...
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Abundance table before data filtering for Ion PGM and MiSeq sequencing ...
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The Interaction of Temporal and Spectral Acoustic Information with Word Predictability on Speech Intelligibility
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In: Communication Studies Theses, Dissertations, and Student Research (2017)
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Post-Translational Nuclear Protein Modification and High Vitamin-D Receptor Levels in Genetic Hypercalciuric Stone-Forming Rats
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In: Journal of Health Disparities Research and Practice (2016)
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Discriminability and Perceptual Saliency of Temporal and Spectral Cues for Final Fricative Consonant Voicing in Simulated Cochlear-Implant and Bimodal Hearing
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In: Communication Sciences and Disorders Faculty Publications (2016)
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Photocatalytic Degradation of the Azo Dye Acid Red 14 in Nanosized TiO2 Suspension under Simulated Solar Light
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In: Research outputs 2014 to 2021 (2015)
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L'émergence de formes nouvelles dans le parler ncàm (bassar) moderne
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In: Regards scientifiques croisés sur le changement global et le développement - Langue, environnement, culture : Actes du Colloque international de Ouagadougou (8-10 mars 2012) ; Langue, environnement, culture : pluridisciplinarité et développement ; https://hal.archives-ouvertes.fr/hal-00939892 ; Gwenaëlle FABRE, Anne FOURNIER, Lamine SANOGO. Regards scientifiques croisés sur le changement global et le développement - Langue, environnement, culture : Actes du Colloque international de Ouagadougou (8-10 mars 2012), Sciencesconf.org, pp.93-106, 2014 (2014)
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Evolution of the Properties of a Poly(L-lactic acid) Scaffold with Double Porosity During In Vitro Degradation in a Phosphate-Buffered Saline Solution
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Aerobic Degradation of α-, β-, γ-Hexachlorocyclohexane by Narragansett Bay Bacterioplankton
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In: Senior Honors Projects (2013)
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Eurobarometer 50.0 (Oct-Nov 1998) ... : Eurobarometer 50.0 (Oct-Nov 1998) ...
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Machine Recognition vs Human Recognition of Voices
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In: DTIC (2012)
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Abstract:
While automated speaker recognition by machines can be quite good as demonstrated in NIST Speaker Recognition Evaluations, performance can still suffer when environmental conditions, emotions, or recording quality change. This research examines how robust humans are compared with machines at speaker recognition in changing environments. Several data conditions, including short sentences, frequency selective noise, and time-reversed speech were used to test the robustness of human listeners versus machine algorithms. Statistical significance tests were completed on the results and, for under conditions, human speaker recognition was more robust. The strength of the human listeners was especially evident for the challenging case of noise in the 2000-3000 Hz frequency range. Additional analysis was performed to identify factors that may impact a listener's ability to identify a person's identity. For example, the amount of voiced (or unvoiced) speech was examined to see if there was a correlation with how easily a speaker's voice was recognized. Unfortunately, the amount of voiced (or unvoiced) speech did not correlate strongly with how easily a speaker's voice was recognized. Other factors such as fundamental pitch, formant locations, pitch shimmer, pitch jitter, and other modulation measures also are being examined. The original goal of this effort was to discover which frequency bands are most important for the familiar speaker recognition task. This research was a cursory look at what frequency information is important for speaker identification. More listening experiments with better randomization of stimuli and phonetic consideration are required. ; See also ADA561051. Presented at the International Conference on Acoustics, Speech and Signal Processing (37th) (ICASSP 2012) held in Kyoto, Japan, on March 25-30, 2012. Published in the Proceedings of the 37th International Conference on Acoustics, Speech and Signal Processing, p4245-4248, 2012. U.S. Government or Federal Purpose Rights License. The original document contains color images.
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Keyword:
*AUDIO FREQUENCY; *FAMILIAR SPEAKERS; *FREQUENCY BANDS; *HUMAN PERFORMANCE; *LEARNING MACHINES; *MACHINE PERFORMANCE; *PERFORMANCE(ENGINEERING); *PERFORMANCE(HUMAN); *SIGNAL TO NOISE RATIO; *SPEAKER IDENTIFICATION; *SPEAKER RECOGNITION; *SPEECH RECOGNITION; Acoustics; ALGORITHMS; AUDITORY SIGNALS; BACKGROUND NOISE; CO-WORKER IDENTIFICATION; CUES(STIMULI); Cybernetics; HEARING DEFICIT GROUP; HUMAN LISTENERS; IDENTIFICATION; NORMAL HEARING GROUP; Psychology; SIGNAL PROCESSING; SPEAKER CUES; SPEAKER FAMILIARITY; SPEECH SIGNAL DEGRADATION; SPEECH SIGNALS; SPEECH-SHAPED ADDITIVE NOISE; STATISTICAL ANALYSIS; SYMPOSIA; TRAINING; Voice Communications
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URL: http://www.dtic.mil/docs/citations/ADA568903
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA568903
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| 34 |
Two Approaches to Predictive Indeterminacy
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In: Gregory Stump (2012)
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Langue de bois et aphasie moderne ; Jargon and Aphasia in Modern Life
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Blind dereverberation of speech from moving and stationary speakers using sequential Monte Carlo methods
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Perspectiva socioambiental sobre a disposição de resíduos sólidos em arroios urbanos : um estudo na sub-bacia hidrográfica Mãe D'Água no município de Viamão - RS
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Perspectiva socioambiental sobre a disposição de resíduos sólidos em arroios urbanos : um estudo na sub-bacia hidrográfica Mãe D'Água no município de Viamão - RS
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Error Metrics for Impaired Auditory Nerve Responses of Different Phoneme Groups
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In: Conference papers (2009)
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Measurement of Phonemic Degradation in Sensorineural Hearing Loss using a Computational Model of the Auditory Periphery
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In: Conference papers (2009)
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