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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 9 of 9 1 Immersive Experience: Evoking the Elements of Contemplative Space in Japanese Architecture ... Corr, Brian. - : The Australian National University, 2018 BASE Show details 2 Advanced Subspace Techniques for Modeling Channel and Session Variability in a Speaker Recognition System Remus, Jeremiah In: DTIC (2012) BASE Show details 3 Cognitive Tools for Humanoid Robots in Space Sofge, Donald; Perzanowski, Dennis; Skubic, Marjorie... In: DTIC AND NTIS (2004) BASE Show details 4 Applications in pharmacokinetic modeling Arnold, Esther. - : uga, 2003 BASE Show details 5 Israel's Quest for Satellite Intelligence Zorn, E. L. In: DTIC (2001) BASE Show details 6 A Post-Processing Algorithm for Time Domain Pitch Trackers. Specker,Philippe In: DTIC AND NTIS (1983) Abstract: This paper describes a powerful post-processing algorithm for time-domain pitch trackers. On two successive passes, the post-processing algorithm eliminates errors produced during a first pass by a time-domain pitch tracker. During the second pass, incorrect pitch values are detected as outliers by computing the distribution of values over a sliding 80 msec window. During the third pass (based on artificial intelligence techniques), remaining pitch pulses are used as anchor points to reconstruct the pitch train from the original waveform. The algorithm produced a decrease in the error rate from 21% obtained with the original time domain pitch tracker to 2% for isolated words and sentences produced in an office environment by 3 male and 3 female talkers. In a noisy computer room errors decreased from 52% to 2.9% for the same stimuli produced by 2 male talkers. The algorithm is efficient, accurate, and resistant to noise. The fundamental frequency micro-structure is tracked sufficiently well to be used in extracting phonetic features in a feature-based recognition system. (Author) Keyword: *AUDIO FREQUENCY; *SIGNAL PROCESSING; *TRACKING; *WORDS(LANGUAGE); ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTERS; Consonant onset; DISTRIBUTION; ENVIRONMENTS; ERRORS; Feature extraction; Feature recognition; FREQUENCY; ISOLATION; LPN-ARPA-Order-3597; MICROSTRUCTURE; NATURAL LANGUAGE; NOISE; Non-radio Communications; OFFICE BUILDINGS; Outliers; Phonetic features; Pitch(Frequency); Post processing; PROCESSING; PULSES; RATES; RESISTANCE; Sliding windows; SPACE(ROOM); TIME DOMAIN; Trackers(Pitch); VALUE; Vowel onset URL: http://www.dtic.mil/docs/citations/ADA127671 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA127671 BASE Hide details 7 INVESTIGATIONS OF THE CONSTANT GEOMAGNETIC FIELD (ALL-UNION CONFERENCE IN LENINGRAD). Brodskaya,S. Yu. In: DTIC AND NTIS (1967) BASE Show details 8 VOICE COMMUNICATION PROBLEMS IN SPACECRAFT AND UNDERWATER OPERATIONS Sergeant, Russell L In: DTIC AND NTIS (1966) BASE Show details 9 INFLUENCE OF SELECTED VIBRATIONS UPON SPEECH (RANGE OF CPS AND RANDOM) Nixon, Charles W; Sommer, Henry C In: DTIC AND NTIS (1963) BASE Show details

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