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Simple Search
Hits 1 – 3 of 3
1
Professional Testimony: Construction and Analysis of a “Graphic Object” in a Physics Class in a 12th Grade Science Major
Moutet, Laurent
In: Objects to Learn About and Objects for Learning 1 ; https://hal.archives-ouvertes.fr/hal-03589558 ; Joël Bisault, Roselyne Le Bourgeois, Jean-François Thémines, Mickaël Le Mentec, Céline Chauvet-Chanoine. Objects to Learn About and Objects for Learning 1, Wiley, 2022, Online ISBN: 9781119902171 Print ISBN: 9781786306715. ⟨10.1002/9781119902171.ch5⟩ (2022)
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2
Improving the Capacity of Language Recognition Systems to Handle Rare Languages Using Radio Broadcast Data
Burget, Lukas
In: DTIC (2011)
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3
Enhancement and Bandwidth Compression of Noisy Speech by Estimation of Speech and Its Model Parameters
Lim, Jae S
In: DTIC AND NTIS (1978)
Abstract:
The problem of enhancement and bandwidth compression of noisy speech is formulated as a parameter estimation problem, in which speech and its model parameters are estimated from the noisy speech based on the MAP estimation procedure. Such an approach leads to two algorithms which require solving sets of linear equations in an iterative manner. Some approximations of the two algorithms lead to two systems which are computationally simpler than the two algorithms by taking advantage of a high speed FFT algorithm. As a preliminary investigation into the performance of the class of systems developed, two systems are implemented and applied to both real and synthetic speech data. An objective and informal subjective evaluation indicate that the systems implemented perform well as enhancement and potential bandwidth compression systems of noisy speech. ; Sponsored in part by DARPA.
Keyword:
*SPEECH COMPRESSION
;
*SPEECH ENHANCEMENT
;
ACCEPTABILITY
;
ALGORITHMS
;
BANDWIDTH
;
BANDWIDTH COMPRESSION
;
COMPARISON
;
Cybernetics
;
ESTIMATES
;
INFORMATION THEORY
;
INTELLIGIBILITY
;
MAP(MAXIMUM A POSTERIORI)
;
NOISE
;
NOISE REDUCTION
;
OPTIMIZATION
;
PARAMETRIC ANALYSIS
;
PREPROCESSING
;
SIGNAL TO NOISE RATIO
;
SYNTHETIC SPEECH
;
THESES
;
Voice Communications
;
WUNR049328
URL:
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA081948
http://www.dtic.mil/docs/citations/ADA081948
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