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1
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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3
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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9
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
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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)
Abstract: Methods to analyze discussion records have been explored and a basic framework developed. Discussion records were analyzed by two methods -- Scene analysis and Logical analysis. Scene analysis focuses on topic change in the record and divides a record into several scenes using Temporal Data Crystallization (TDC). Then, by measuring the polarity of words and the volume of utterance, the atmosphere and emotion in the scene were analyzed. Logical analysis focuses on the role of phrases in utterances, and attaches logical labels to phrases based on Toulmin diagram. By these labels, logical structure of arguments in the discussion was extracted, its semantics were calculated based on Theory of Computational Argumentation and various argumentation skills of the discussion record was evaluated. In addition to discussion analysis, the scene analysis techniques were applied to caption data of TV programs to recognize change of scenes, which requires real time analysis. ; The original document contains color images.
Keyword: *SPEECH ANALYSIS; *VOICE COMMUNICATIONS; ARGUMENTATION; CLUSTERING; COMPUTATIONAL ARGUMENTATION; Cybernetics; DISCUSSION ANALYSIS; FEATURE EXTRACTION; FOREIGN REPORTS; JAPAN; Linguistics; MAF(MODULAR ARGUMENTATION FRAMEWORK); Operations Research; PE61102F; SCENE ANALYSIS; TEMPORAL DATA CRYSTALIZATION; TOPIC CHANGE; TOULMIN DIAGRAMS; Water Pollution and Control; WORD CLUSTERING
URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA622196
http://www.dtic.mil/docs/citations/ADA622196
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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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