Acoustic analysis

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  • Solving PDEs generally means you must take the time to set up the underlying equations, material properties, and boundary conditions for a given problem. COMSOL Multiphysics, however, relieves you of much of this work. The package provides a number of application modes that consist of predefined templates and user interfaces already set up with equations and variables for specific areas of physics. Special properties allow the selection of, for instance, analysis type and model formulations.

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  • Breath sounds have long been important indicators of respiratory health and disease. Acoustical monitoring of respiratory sounds has been used by researchers for various diagnostic purposes. A few decades ago, physicians relied on their hearing to detect any symptomatic signs in respiratory sounds of their patients. However, with the aid of computer technology and digital signal processing techniques in recent years, breath sound analysis has drawn much attention because of its diagnostic capabilities.

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  • Independent Component Analysis (ICA) is a signal-processing method to extract independent sources given only observed data that are mixtures of the unknown sources. Recently, Blind Source Separation (BSS) by ICA has received considerable attention because of its potential signal-processing applications such as speech enhancement systems, image processing, telecommunications, medical signal processing and several data mining issues.

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  • The variation in speech due to dialect is a factor which significantly impacts speech system performance. In this study, we investigate effective methods of combining acoustic and language information to take advantage of (i) speaker based acoustic traits as well as (ii) content based word selection across the text sequence. For acoustics, a GMM based system is employed and for text based dialect classification, we proposed n-gram language models combined with Latent Semantic Analysis (LSA) based dialect classifiers. ...

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  • Biological signal analysis1 encompasses several interdisciplinary topics that deal with analysing signals generated by various physiological processes in the human body. These signals could be electrical, chemical or acoustic in origin and an analysis of these signals are often useful in explaining and/or identifying pathological conditions of the human body. However, these signals in their rawest form do not provide much information and therefore, the motivation behind biological signal analysis is to extract (i.e. to reveal) the relevant information.

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  • Metal foams are a new, as yet imperfectly characterized, class of materials with low densities and novel physical, mechanical, thermal, electrical and acoustic properties. They offer potential for lightweight structures, for energy absorption, and for thermal management; and some of them, at least, are cheap. The current understanding of their production, properties and uses in assembled in this Design Guide.

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  • Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Nonstationary System Analysis Methods for Underwater Acoustic Communications

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  • Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Analysis of Acoustic Features in Speakers with Cognitive Disorders and Speech Impairments

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  • Chapters in the first part of the book cover all the essential speech processing techniques for building robust, automatic speech recognition systems: the representation for speech signals and the methods for speech-features extraction, acoustic and language modeling, efficient algorithms for searching the hypothesis space, and multimodal approaches to speech recognition.

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  • With the advent of multimedia, digital signal processing (DSP) of sound has emerged from the shadow of bandwidth-limited speech processing. Today, the main applications of audio DSP are high quality audio coding and the digital generation and manipulation of music signals. They share common research topics including perceptual measurement techniques and analysis/synthesis methods. Smaller but nonetheless very important topics are hearing aids using signal processing technology and hardware architectures for digital signal processing of audio.

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  • Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Blind Separation of Acoustic Signals Combining SIMO-Model-Based Independent Component Analysis and Binary Masking

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  • Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: The Effects of Noise on Speech Recognition in Cochlear Implant Subjects: Predictions and Analysis Using Acoustic Models

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  • Equilibrium Chemistry 186 6. Multilayer Structures 6 Multilayer Structures Fig. 6.1.1 Multilayer dielectric slab structure. Higher-order transfer functions of the type of Eq. (5.7.2) can achieve broader reflectionless notches and are used in the design of thin-film antireflection coatings, dielectric mirrors, and optical interference filters [615–677,737–770], and in the design of broadband terminations of transmission lines [805–815].

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  • SYSTEM OVERVIEW The Tsunami Warning System (TWS) designed by Envirtech is composed of the following main subsystems: · an Underwater Module (UM) to be installed at the sea bottom in open sea location for the accurate measurement of the tide and the identification of anomalous conditions. · a Surface Buoy (SB) moored close to the UM to receive via acoustic link the measurement of UM to be transferred via satellite link to a Data Centre (DC) for visualization and analysis.

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  • DOA Estimation Fundamentals 186 6. Multilayer Structures 6 Multilayer Structures Fig. 6.1.1 Multilayer dielectric slab structure. Higher-order transfer functions of the type of Eq. (5.7.2) can achieve broader reflectionless notches and are used in the design of thin-film antireflection coatings, dielectric mirrors, and optical interference filters [615–677,737–770], and in the design of broadband terminations of transmission lines [805–815].

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  • EURASIP Journal on Applied Signal Processing 2003:10, 953–967 c 2003 Hindawi Publishing Corporation Frequency-Zooming ARMA Modeling for Analysis of Noisy String Instrument Tones Paulo A. A. Esquef Laboratory of Acoustics and Audio Signal Processing, Helsinki University of Technology, P.O. Box 3000, FIN-02015 HUT, Espoo, Finland Email: paulo.esquef@hut.fi Matti Karjalainen Laboratory of Acoustics and Audio Signal Processing, Helsinki University of Technology, P.O. Box 3000, FIN-02015 HUT, Espoo, Finland Email: matti.karjalainen@hut.

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  • EURASIP Journal on Applied Signal Processing 2003:11, 1135–1146 c 2003 Hindawi Publishing Corporation Blind Source Separation Combining Independent Component Analysis and Beamforming Hiroshi Saruwatari Graduate School of Information Science, Nara Institute of Science and Technology, 8916-5 Takayama-cho, Ikoma, Nara 630-0192, Japan Email: sawatari@is.aist-nara.ac.

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  • A new procedure for calculation and analysis of dispersion relation and real atomic vibration of fcc crystals containing dopant atom has been developed using anharmonic effective potential. Analytical expressions for dispersion relation separated by acoustic and optical branches; forbidden zone; effective force constant; Debye frequency and temperature; amplitude and phase of real vibration of atomic chain containing dopant atom have been derived. They contain Morse potential parameters characterizing vibration of each pair of atoms. ...

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  • We have analyzed 607 sentences of spontaneous human-computer speech data containing repairs, drawn from a total corpus of 10,718 sentences. We present here criteria and techniques for automatically detecting the presence of a repair, its location, and making the appropriate correction. The criteria involve integration of knowledge from several sources: pattern matching, syntactic and semantic analysis, and acoustics. INTRODUCTION Spontaneous spoken language often includes speech that is not intended by the speaker to be part of the content of the utterance. ...

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  • Interpreting fully natural speech is an important goal for spoken language understanding systems. However, while corpus studies have shown that about 10% of spontaneous utterances contain self-corrections, or REPAIRS, little is known about the extent to which cues in the speech signal may facilitate repair processing. We identify several cues based on acoustic and prosodic analysis of repairs in a corpus of spontaneous speech, and propose methods for exploiting these cues to detect and correct repairs.

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