LIST OF FIGURES. Figure No. Title Page No. Fig. l. l Fig. l.2
|
|
- Amberly Reynolds
- 5 years ago
- Views:
Transcription
1 LIST OF FIGURES Figure No. Title Page No. Fig. l. l Fig. l.2 Fig. l.3 A generic perceptual audio coder. 3 Schematic diagram of the programme of the present work on perceptual audio coding. 18 Schematic diagram of the programme of the present work on enhancement and modification of speech and audio for the hearing impaired. 19 Basic structure of the ISONPEG audio encoder. 22 ISONPEG Audio decoder. 22 Human auditory system. 27 Cochlea. 28 Cross section of basilar membrane. 28 Resonant frequencies of various points along the basilar membrane. 29 Hearing threshold in quiet. 30 The frequency-to-place transformation. 3 1 Noise masking tone. 35 Tone masking noise. 35 Schematic representation of simultaneous masking. 36 Time and frequency resolution. 45 Subband coding scheme. 47 Flow diagram of time-scale analysis algorithm. 48 Logarithmic set of bandwidths. 49 Orthogonal subband coding scheme. Biorthogonal subband coding scheme. Wavelet packet decomposition. Haar-scaling and wavelet functions. Daubechies- scaling and wavelet functions. Symlet- scaling and wavelet functions. Coiflet- scaling and wavelet functions. Biorthogonal spline- scaling and wavelet functions. Block diagram of the proposed audio coder.
2 DWT tree structure of the proposed audio coder. DWT based audio decoder. Local maxima. Tonal maskers. Tonal and non-tonal maskers. Non-tonal components vs. absolute threshold. Tonal component vs. absolute threshold. Elimination of tonal components too closed to each other. Masking thresholds. Global masking threshold. Flow chart for making the raw codebook. Flow chart for optimizing the codebook. Encoder and decoder algorithms. Variation of compression ratio with order of the wavelet (Daubechies family). Variation of coding delay with order of the wavelet (Daubechies family). Variation of compression ratio with order of the wavelet (Symlet family). Variation of coding delay with order of the wavelet. (Symlet family). Performance of various wavelets on different frames of audio signal ('kadalinakkare.wav'). Performance of various wavelets on different frames of audio signal ('castanets.wav'). Enhanced DWT based audio coder. Pre-echo distortion in MPEG standard. Pre-echo distortion elimination in the proposed audio coder. Error power spectra plot (one frame of 'castanets'). Power spectra plot-castanets: DCT and Scalar quantization. Power spectra plot- castanets: DWT and Scalar quantization. Power spectra plot-castanets: DWT and Vector quantization. Power spectra plot-castanets: DWT and Scalar + VQ. Block diagram of the wavelet packet based audio coder. Wavelet packet decomposition. xvi
3 Block diagram of the enhanced wavelet packet based audio encoder. 132 Power spectra plot - castanets: DWP and scalar quantization. 138 Power spectra plot - castanets: DWP and vector quantization. 138 Power spectra plot - castanets: DWP and scalar + VQ. 139 Power spectra plot - else3: DWP and scalar quantization. 139 Power spectra plot - else3: DWP and vector quantization. 140 Power spectra plot - else3: DWP and scalar + VQ. 140 Block diagram of the proposed low complexity wavelet packet based audio coder. 140 Global masking threshold for frame 10 of castanets.wav. 141 Quantization noise level. 142 Power spectra plot - castanets: Low complexity scheme with scalar quantization. 142 Power spectra plot - castanets: Low complexity scheme with vector quantization. 148 Power spectra plot - castanets: Low complexity scheme with scalar + VQ. 149 Power spectra plot - else3: Low complexity scheme with scalar quantization. 149 Power spectra plot - else3: Low complexity scheme with vector quantization. Power spectra plot - else3: Low complexity scheme with scalar + VQ. Block diagram of scalable perceptual audio coding scheme. 151 Flexible wavelet packet tree structure designed to support three sampling kquencies.. Power spectra plot - clap: Flexible DWP and scalar quantization. 157 Power spectra plot - clap: Flexible DWP and vector quantization. 157 Power spectra plot - male: Flexible DWP and scalar quantization. 158 Power spectra plot - male: Flexible DWP and vector quantization. 158 Power spectra plot - crow: Flexible DWP and scalar quantization. 159 Power spectra plot - crow: Flexible DWP and vector quantization. 159 Power spectra plot - crow: Flexible DWP and scalar + VQ. 160 Power spectra plot - female2: Flexible DWP and scalar quantization. 160 xvii
4 Fig.5.33 Fig.5.34 Fig.5.35 Fig.5.36 Fig.6.1 (a) Fig.6.1 (b) Fig.6.1 (c) Fig.6.1 (d) Fig.6.1 (e) Fig.6.2 Fig.6.3 Fig.6.4 Fig.6.5 Fig.6.6 (a) Fig.6.6 (b) Fig.6.6 (c) Fig.6.6 (d) Fig.6.6 (e) Fig.6.7 Fig.6.8 Fig.6.9 Fig.6.10 Fig.6. l l (a) Fig.6. l l (b) Fig.6.11 (c) Fig.6.11 (d) Fig.6.11 (e) Power spectra plot - female2: Flexible DWP and vector quantization. Power spectra plot - female2: Flexible DWP and scalar + VQ. Power spectra plot - castanets: Flexible DWP and scalar quantization. Power spectra plot - castanets: Flexible DWP and vector quantization. Power spectra plot - castanets: Flexible DWP and scalar + VQ. Power spectra plot - else3: Flexible DWP and scalar quantization. Power spectra plot - else3: Flexible DWP and vector quantization. Power spectra plot - else3: Flexible DWP and scalar + VQ. Plot of original signal ('clap'). Plot of reconstructed signal (CR=6). Plot of reconstructed signal (CR=10). Plot of reconstructed signal (CR= 15). Plot of reconstructed signal (CR=25). Power spectra plot (clap, CR=6). Power spectra plot (clap, CR=lO). Power spectra plot (clap, CR=15). Power spectra plot (clap, CR=25). Plot of original signal ('female2'). Plot of reconstructed signal (CR=6). Plot of reconstructed signal (CR= 10). Plot of reconstructed signal (CR= 15). Plot of reconstructed signal (CR=25). Power spectra plot (female2, CR=6). Power spectra plot (female2, CR=lO). Power spectra plot (female2, CR=15). Power spectra plot (female2, CR=25). Plot of original signal ('castanets'). Plot of reconstructed signal (CR=6). Plot of reconstructed signal (CR=10). Plot of reconstructed signal (CR= 15). Plot of reconstructed signal (CR=25).
5 Power spectra plot (castanets, CR=6). Power spectra plot (castanets, CR=lO). Power spectra plot (castanets, CR=15). Power spectra plot (castanets, CR=25). Block diagram of two stage SNR scalable audio codec. Performance of two stage SNR scalable audio codec ('castanets', 'CR=25'); Power spectra plots at 1 and 2 for two stage SNR scalable audio codec. ('castanets','cr=25'). Performance of two stage SNR scalable audio codec ('clap', 'CR=25'). Power spectra plots at 1 and 2 for two stage SNR scalable audio codec. ('clap','cr=25'). Performance of two stage SNR scalable audio codec ('clap', 'CR=lO'). Power spectra plots at 1 and 2 for two stage SNR scalable audio codec. ('clap', 'CR=lO'). Sample audiogram of a normal person Sample audiogram of an impaired person with sensorineural deafness Basic hearing model. Block diagram of the generic elecronic hearing aid. Block diagram of the generic digital hearing aid. DWT tree structure according to the audiogram standard with octave steps. Soft thresholding characteristics. Hearing aid output for patient 2 (signal-clap without noise). (signal-clap without noise). Hearing aid output for patient 2 (signal-clap with noise). (signal-clap with noise). Hearing aid output for patient 2 (signal-female voice without noise). 220 (signal-female voice without noise). 220 Hearing aid output for patient 2 (signal-female voice with noise). 221
6 (signal-female voice with noise) Hearing aid output for patient 12 (signal-clap without noise). 222 Wavelet coefficients before and after modification for patient12 (signal-clap without noise). 222 Hearing aid output for patient 12 (signal-female voice without noise). Wavelet coefficients before and after modification for patient 12 (signal-female voice without noise). 223 Hearing aid output for patient 12 (signal-clap with noise). 224 (signal- clap with noise). 224 Hearing aid output for patient 12 (signal-female voice with noise). 225 Wavelet coefficients before and after modification for patient l2 (signal-female voice with noise). 225 Audiogram standard (half octave steps). 226 Wavelet packet tree structure for digital hearing aid Original signal and hearing aid outputs (signal- clap without noise). 228
Psychoacoustical Models WS 2016/17
Psychoacoustical Models WS 2016/17 related lectures: Applied and Virtual Acoustics (Winter Term) Advanced Psychoacoustics (Summer Term) Sound Perception 2 Frequency and Level Range of Human Hearing Source:
More informationSpeech Compression for Noise-Corrupted Thai Dialects
American Journal of Applied Sciences 9 (3): 278-282, 2012 ISSN 1546-9239 2012 Science Publications Speech Compression for Noise-Corrupted Thai Dialects Suphattharachai Chomphan Department of Electrical
More informationFIR filter bank design for Audiogram Matching
FIR filter bank design for Audiogram Matching Shobhit Kumar Nema, Mr. Amit Pathak,Professor M.Tech, Digital communication,srist,jabalpur,india, shobhit.nema@gmail.com Dept.of Electronics & communication,srist,jabalpur,india,
More informationIssues faced by people with a Sensorineural Hearing Loss
Issues faced by people with a Sensorineural Hearing Loss Issues faced by people with a Sensorineural Hearing Loss 1. Decreased Audibility 2. Decreased Dynamic Range 3. Decreased Frequency Resolution 4.
More information! Can hear whistle? ! Where are we on course map? ! What we did in lab last week. ! Psychoacoustics
2/14/18 Can hear whistle? Lecture 5 Psychoacoustics Based on slides 2009--2018 DeHon, Koditschek Additional Material 2014 Farmer 1 2 There are sounds we cannot hear Depends on frequency Where are we on
More informationHearing Lectures. Acoustics of Speech and Hearing. Auditory Lighthouse. Facts about Timbre. Analysis of Complex Sounds
Hearing Lectures Acoustics of Speech and Hearing Week 2-10 Hearing 3: Auditory Filtering 1. Loudness of sinusoids mainly (see Web tutorial for more) 2. Pitch of sinusoids mainly (see Web tutorial for more)
More informationCHAPTER 1 INTRODUCTION
CHAPTER 1 INTRODUCTION 1.1 BACKGROUND Speech is the most natural form of human communication. Speech has also become an important means of human-machine interaction and the advancement in technology has
More informationHCS 7367 Speech Perception
Long-term spectrum of speech HCS 7367 Speech Perception Connected speech Absolute threshold Males Dr. Peter Assmann Fall 212 Females Long-term spectrum of speech Vowels Males Females 2) Absolute threshold
More informationSOLUTIONS Homework #3. Introduction to Engineering in Medicine and Biology ECEN 1001 Due Tues. 9/30/03
SOLUTIONS Homework #3 Introduction to Engineering in Medicine and Biology ECEN 1001 Due Tues. 9/30/03 Problem 1: a) Where in the cochlea would you say the process of "fourier decomposition" of the incoming
More informationAcoustics, signals & systems for audiology. Psychoacoustics of hearing impairment
Acoustics, signals & systems for audiology Psychoacoustics of hearing impairment Three main types of hearing impairment Conductive Sound is not properly transmitted from the outer to the inner ear Sensorineural
More informationLinguistic Phonetics. Basic Audition. Diagram of the inner ear removed due to copyright restrictions.
24.963 Linguistic Phonetics Basic Audition Diagram of the inner ear removed due to copyright restrictions. 1 Reading: Keating 1985 24.963 also read Flemming 2001 Assignment 1 - basic acoustics. Due 9/22.
More informationFrequency refers to how often something happens. Period refers to the time it takes something to happen.
Lecture 2 Properties of Waves Frequency and period are distinctly different, yet related, quantities. Frequency refers to how often something happens. Period refers to the time it takes something to happen.
More informationImplementation of Spectral Maxima Sound processing for cochlear. implants by using Bark scale Frequency band partition
Implementation of Spectral Maxima Sound processing for cochlear implants by using Bark scale Frequency band partition Han xianhua 1 Nie Kaibao 1 1 Department of Information Science and Engineering, Shandong
More information2-D ECG Compression Using Optimal Sorting and Mean Normalization
2009 International Conference on Machine Learning and Computing IPCSIT vol.3 (2011) (2011) IACSIT Press, Singapore 2-D ECG Compression Using Optimal Sorting and Mean Normalization Young-Bok Joo, Gyu-Bong
More informationLinguistic Phonetics Fall 2005
MIT OpenCourseWare http://ocw.mit.edu 24.963 Linguistic Phonetics Fall 2005 For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms. 24.963 Linguistic Phonetics
More information9/29/14. Amanda M. Lauer, Dept. of Otolaryngology- HNS. From Signal Detection Theory and Psychophysics, Green & Swets (1966)
Amanda M. Lauer, Dept. of Otolaryngology- HNS From Signal Detection Theory and Psychophysics, Green & Swets (1966) SIGNAL D sensitivity index d =Z hit - Z fa Present Absent RESPONSE Yes HIT FALSE ALARM
More informationSoundRecover2 the first adaptive frequency compression algorithm More audibility of high frequency sounds
Phonak Insight April 2016 SoundRecover2 the first adaptive frequency compression algorithm More audibility of high frequency sounds Phonak led the way in modern frequency lowering technology with the introduction
More informationBINAURAL DICHOTIC PRESENTATION FOR MODERATE BILATERAL SENSORINEURAL HEARING-IMPAIRED
International Conference on Systemics, Cybernetics and Informatics, February 12 15, 2004 BINAURAL DICHOTIC PRESENTATION FOR MODERATE BILATERAL SENSORINEURAL HEARING-IMPAIRED Alice N. Cheeran Biomedical
More informationBrad May, PhD Johns Hopkins University
Brad May, PhD Johns Hopkins University When the ear cannot function normally, the brain changes. Brain deafness contributes to poor speech comprehension, problems listening in noise, abnormal loudness
More informationHearing. Juan P Bello
Hearing Juan P Bello The human ear The human ear Outer Ear The human ear Middle Ear The human ear Inner Ear The cochlea (1) It separates sound into its various components If uncoiled it becomes a tapering
More informationThe role of periodicity in the perception of masked speech with simulated and real cochlear implants
The role of periodicity in the perception of masked speech with simulated and real cochlear implants Kurt Steinmetzger and Stuart Rosen UCL Speech, Hearing and Phonetic Sciences Heidelberg, 09. November
More informationDetection of pulmonary abnormalities using Multi scale products and ARMA modelling
Volume 119 No. 15 2018, 2177-2181 ISSN: 1314-3395 (on-line version) url: http://www.acadpubl.eu/hub/ http://www.acadpubl.eu/hub/ Detection of pulmonary abnormalities using Multi scale products and ARMA
More informationConvolutional Coding: Fundamentals and Applications. L. H. Charles Lee. Artech House Boston London
Convolutional Coding: Fundamentals and Applications L. H. Charles Lee Artech House Boston London Contents Preface xi Chapter 1 Introduction of Coded Digital Communication Systems 1 1.1 Introduction 1 1.2
More informationThe ECG Signal Compression Using an Efficient Algorithm Based on the DWT
The ECG Signal Compression Using an Efficient Algorithm Based on the DWT Oussama El B charri, Rachid Latif, Wissam Jenkal, Abdenbi Abenaou Laboratory of Systems Engineering and Information Technology (LiSTi)
More informationThe Handbook of Hearing and the Effects of Noise
The Handbook of Hearing and the Effects of Noise Physiology, Psychology, and Public Health Karl D. Kryter San Diego State University San Diego, California Academic Press San Diego New York Boston London
More informationA. SEK, E. SKRODZKA, E. OZIMEK and A. WICHER
ARCHIVES OF ACOUSTICS 29, 1, 25 34 (2004) INTELLIGIBILITY OF SPEECH PROCESSED BY A SPECTRAL CONTRAST ENHANCEMENT PROCEDURE AND A BINAURAL PROCEDURE A. SEK, E. SKRODZKA, E. OZIMEK and A. WICHER Institute
More informationINTERNATIONAL JOURNAL OF PURE AND APPLIED RESEARCH IN ENGINEERING AND TECHNOLOGY
Research Article Impact Factor:.75 ISSN: 319-57X Sharma P,, 14; Volume (11): 34-55 INTERNATIONAL JOURNAL OF PURE AND APPLIED RESEARCH IN ENGINEERING AND TECHNOLOGY A PATH FOR HORIZING YOUR INNOVATIVE WORK
More informationCodebook driven short-term predictor parameter estimation for speech enhancement
Codebook driven short-term predictor parameter estimation for speech enhancement Citation for published version (APA): Srinivasan, S., Samuelsson, J., & Kleijn, W. B. (2006). Codebook driven short-term
More informationJuan Carlos Tejero-Calado 1, Janet C. Rutledge 2, and Peggy B. Nelson 3
PRESERVING SPECTRAL CONTRAST IN AMPLITUDE COMPRESSION FOR HEARING AIDS Juan Carlos Tejero-Calado 1, Janet C. Rutledge 2, and Peggy B. Nelson 3 1 University of Malaga, Campus de Teatinos-Complejo Tecnol
More informationClaroTM Digital Perception ProcessingTM
ClaroTM Digital Perception ProcessingTM Sound processing with a human perspective Introduction Signal processing in hearing aids has always been directed towards amplifying signals according to physical
More informationMasker-signal relationships and sound level
Chapter 6: Masking Masking Masking: a process in which the threshold of one sound (signal) is raised by the presentation of another sound (masker). Masking represents the difference in decibels (db) between
More informationHealthy Organ of Corti. Loss of OHCs. How to use and interpret the TEN(HL) test for diagnosis of Dead Regions in the cochlea
'How we do it' Healthy Organ of Corti How to use and interpret the TEN(HL) test for diagnosis of s in the cochlea Karolina Kluk¹ Brian C.J. Moore² Mouse IHCs OHCs ¹ Audiology and Deafness Research Group,
More information1, 2, 3 * Corresponding Author: 1.
Algorithm for QRS Complex Detection using Discrete Wavelet Transformed Chow Malapan Khamhoo 1, Jagdeep Rahul 2*, Marpe Sora 3 12 Department of Electronics and Communication, Rajiv Gandhi University, Doimukh
More informationSpeech Enhancement, Human Auditory system, Digital hearing aid, Noise maskers, Tone maskers, Signal to Noise ratio, Mean Square Error
Volume 119 No. 18 2018, 2259-2272 ISSN: 1314-3395 (on-line version) url: http://www.acadpubl.eu/hub/ http://www.acadpubl.eu/hub/ SUBBAND APPROACH OF SPEECH ENHANCEMENT USING THE PROPERTIES OF HUMAN AUDITORY
More informationTopics in Linguistic Theory: Laboratory Phonology Spring 2007
MIT OpenCourseWare http://ocw.mit.edu 24.91 Topics in Linguistic Theory: Laboratory Phonology Spring 27 For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms.
More informationFAST AMPLITUDE COMPRESSION IN HEARING AIDS IMPROVES AUDIBILITY BUT DEGRADES SPEECH INFORMATION TRANSMISSION
FAST AMPLITUDE COMPRESSION IN HEARING AIDS IMPROVES AUDIBILITY BUT DEGRADES SPEECH INFORMATION TRANSMISSION Arne Leijon and Svante Stadler Sound and Image Processing Lab., School of Electrical Engineering,
More information2/16/2012. Fitting Current Amplification Technology on Infants and Children. Preselection Issues & Procedures
Fitting Current Amplification Technology on Infants and Children Cindy Hogan, Ph.D./Doug Sladen, Ph.D. Mayo Clinic Rochester, Minnesota hogan.cynthia@mayo.edu sladen.douglas@mayo.edu AAA Pediatric Amplification
More informationCOMPRESSED ECG BIOMETRIC USING CARDIOID GRAPH BASED FEATURE EXTRACTION
COMPRESSED ECG BIOMETRIC USING CARDIOID GRAPH BASED FEATURE EXTRACTION Fatema-tuz-Zohra and Khairul Azami Sidek Department of Electrical of Electrical and Computer Engineering Faculty of Engineering, International
More informationVoice Detection using Speech Energy Maximization and Silence Feature Normalization
, pp.25-29 http://dx.doi.org/10.14257/astl.2014.49.06 Voice Detection using Speech Energy Maximization and Silence Feature Normalization In-Sung Han 1 and Chan-Shik Ahn 2 1 Dept. of The 2nd R&D Institute,
More informationQuality Measurement of Lossy Compression in Medical Imaging
Prague Medical Report / Vol. 106 (2005) No. 1, p. 5 26 5) Quality Measurement of Lossy Compression in Medical Imaging Third Department of Medicine of the First Faculty of Medicine, Charles University in
More informationFig. 1 High level block diagram of the binary mask algorithm.[1]
Implementation of Binary Mask Algorithm for Noise Reduction in Traffic Environment Ms. Ankita A. Kotecha 1, Prof. Y.A.Sadawarte 2 1 M-Tech Scholar, Department of Electronics Engineering, B. D. College
More informationNear-End Perception Enhancement using Dominant Frequency Extraction
Near-End Perception Enhancement using Dominant Frequency Extraction Premananda B.S. 1,Manoj 2, Uma B.V. 3 1 Department of Telecommunication, R. V. College of Engineering, premanandabs@gmail.com 2 Department
More informationFREQUENCY COMPRESSION AND FREQUENCY SHIFTING FOR THE HEARING IMPAIRED
FREQUENCY COMPRESSION AND FREQUENCY SHIFTING FOR THE HEARING IMPAIRED Francisco J. Fraga, Alan M. Marotta National Institute of Telecommunications, Santa Rita do Sapucaí - MG, Brazil Abstract A considerable
More informationSonic Spotlight. SmartCompress. Advancing compression technology into the future
Sonic Spotlight SmartCompress Advancing compression technology into the future Speech Variable Processing (SVP) is the unique digital signal processing strategy that gives Sonic hearing aids their signature
More informationPrescribe hearing aids to:
Harvey Dillon Audiology NOW! Prescribing hearing aids for adults and children Prescribing hearing aids for adults and children Adult Measure hearing thresholds (db HL) Child Measure hearing thresholds
More informationNOISE ROBUST ALGORITHMS TO IMPROVE CELL PHONE SPEECH INTELLIGIBILITY FOR THE HEARING IMPAIRED
NOISE ROBUST ALGORITHMS TO IMPROVE CELL PHONE SPEECH INTELLIGIBILITY FOR THE HEARING IMPAIRED By MEENA RAMANI A DISSERTATION PRESENTED TO THE GRADUATE SCHOOL OF THE UNIVERSITY OF FLORIDA IN PARTIAL FULFILLMENT
More informationEssential feature. Who are cochlear implants for? People with little or no hearing. substitute for faulty or missing inner hair
Who are cochlear implants for? Essential feature People with little or no hearing and little conductive component to the loss who receive little or no benefit from a hearing aid. Implants seem to work
More informationEEL 6586, Project - Hearing Aids algorithms
EEL 6586, Project - Hearing Aids algorithms 1 Yan Yang, Jiang Lu, and Ming Xue I. PROBLEM STATEMENT We studied hearing loss algorithms in this project. As the conductive hearing loss is due to sound conducting
More informationSlow compression for people with severe to profound hearing loss
Phonak Insight February 2018 Slow compression for people with severe to profound hearing loss For people with severe to profound hearing loss, poor auditory resolution abilities can make the spectral and
More informationAudiogram+: The ReSound Proprietary Fitting Algorithm
Abstract Hearing instruments should provide end-users with access to undistorted acoustic information to the degree possible. The Resound compression system uses state-of-the art technology and carefully
More informationAuditory principles in speech processing do computers need silicon ears?
* with contributions by V. Hohmann, M. Kleinschmidt, T. Brand, J. Nix, R. Beutelmann, and more members of our medical physics group Prof. Dr. rer.. nat. Dr. med. Birger Kollmeier* Auditory principles in
More informationExtraction of Unwanted Noise in Electrocardiogram (ECG) Signals Using Discrete Wavelet Transformation
Extraction of Unwanted Noise in Electrocardiogram (ECG) Signals Using Discrete Wavelet Transformation Er. Manpreet Kaur 1, Er. Gagandeep Kaur 2 M.Tech (CSE), RIMT Institute of Engineering & Technology,
More informationHEARING AND PSYCHOACOUSTICS
CHAPTER 2 HEARING AND PSYCHOACOUSTICS WITH LIDIA LEE I would like to lead off the specific audio discussions with a description of the audio receptor the ear. I believe it is always a good idea to understand
More informationFuzzy Based Early Detection of Myocardial Ischemia Using Wavelets
Fuzzy Based Early Detection of Myocardial Ischemia Using Wavelets Jyoti Arya 1, Bhumika Gupta 2 P.G. Student, Department of Computer Science, GB Pant Engineering College, Ghurdauri, Pauri, India 1 Assistant
More informationAcoustic Sensing With Artificial Intelligence
Acoustic Sensing With Artificial Intelligence Bowon Lee Department of Electronic Engineering Inha University Incheon, South Korea bowon.lee@inha.ac.kr bowon.lee@ieee.org NVIDIA Deep Learning Day Seoul,
More informationCHAPTER IV PREPROCESSING & FEATURE EXTRACTION IN ECG SIGNALS
CHAPTER IV PREPROCESSING & FEATURE EXTRACTION IN ECG SIGNALS are The proposed ECG classification approach consists of three phases. They Preprocessing Feature Extraction and Selection Classification The
More informationHearing Aids. Bernycia Askew
Hearing Aids Bernycia Askew Who they re for Hearing Aids are usually best for people who have a mildmoderate hearing loss. They are often benefit those who have contracted noise induced hearing loss with
More informationFPGA IMPLEMENTATION OF COMB FILTER FOR AUDIBILITY ENHANCEMENT OF HEARING IMPAIRED
ISS: 2395-1680 (OLIE) ICTACT JOURAL O MICROELECTROICS, OCTOBER 2017, VOLUME: 03, ISSUE: 03 DOI: 10.21917/ijme.2017.0078 FPGA IMPLEMETATIO OF COMB FILTER FOR AUDIBILITY EHACEMET OF HEARIG IMPAIRED J.J.
More informationDESIGN OF AN EFFECTIVE DIGITAL RECONFIGURABLE FILTER BANK
696 DESIGN OF AN EFFECTIVE DIGITAL RECONFIGURABLE FILTER BANK UMAR.M 1, SUBBULAKSHMI.N 2 1ME VLSI DESIGN Student, SRI RAMAKRISHNA ENGINEERING COLLEGE, COIMBATORE, India (Member of IEEE) 2Assistant professor,
More informationDigital East Tennessee State University
East Tennessee State University Digital Commons @ East Tennessee State University ETSU Faculty Works Faculty Works 10-1-2011 Effects of Degree and Configuration of Hearing Loss on the Contribution of High-
More informationWhat you re in for. Who are cochlear implants for? The bottom line. Speech processing schemes for
What you re in for Speech processing schemes for cochlear implants Stuart Rosen Professor of Speech and Hearing Science Speech, Hearing and Phonetic Sciences Division of Psychology & Language Sciences
More informationTHE MECHANICS OF HEARING
CONTENTS The mechanics of hearing Hearing loss and the Noise at Work Regulations Loudness and the A weighting network Octave band analysis Hearing protection calculations Worked examples and self assessed
More informationFour-Channel WDRC Compression with Dynamic Contrast Detection
Technology White Paper Four-Channel WDRC Compression with Dynamic Contrast Detection An advanced adaptive compression feature used in the Digital-One and intune DSP amplifiers from IntriCon. October 3,
More informationImage Enhancement and Compression using Edge Detection Technique
Image Enhancement and Compression using Edge Detection Technique Sanjana C.Shekar 1, D.J.Ravi 2 1M.Tech in Signal Processing, Dept. Of ECE, Vidyavardhaka College of Engineering, Mysuru 2Professor, Dept.
More informationRemoval of Baseline wander and detection of QRS complex using wavelets
International Journal of Scientific & Engineering Research Volume 3, Issue 4, April-212 1 Removal of Baseline wander and detection of QRS complex using wavelets Nilesh Parihar, Dr. V. S. Chouhan Abstract
More informationInfant Hearing Development: Translating Research Findings into Clinical Practice. Auditory Development. Overview
Infant Hearing Development: Translating Research Findings into Clinical Practice Lori J. Leibold Department of Allied Health Sciences The University of North Carolina at Chapel Hill Auditory Development
More informationEffects of speaker's and listener's environments on speech intelligibili annoyance. Author(s)Kubo, Rieko; Morikawa, Daisuke; Akag
JAIST Reposi https://dspace.j Title Effects of speaker's and listener's environments on speech intelligibili annoyance Author(s)Kubo, Rieko; Morikawa, Daisuke; Akag Citation Inter-noise 2016: 171-176 Issue
More informationNovel Speech Signal Enhancement Techniques for Tamil Speech Recognition using RLS Adaptive Filtering and Dual Tree Complex Wavelet Transform
Web Site: wwwijettcsorg Email: editor@ijettcsorg Novel Speech Signal Enhancement Techniques for Tamil Speech Recognition using RLS Adaptive Filtering and Dual Tree Complex Wavelet Transform VimalaC 1,
More informationWho are cochlear implants for?
Who are cochlear implants for? People with little or no hearing and little conductive component to the loss who receive little or no benefit from a hearing aid. Implants seem to work best in adults who
More informationMusic and Hearing in the Older Population: an Audiologist's Perspective
Music and Hearing in the Older Population: an Audiologist's Perspective Dwight Ough, M.A., CCC-A Audiologist Charlotte County Hearing Health Care Centre Inc. St. Stephen, New Brunswick Anatomy and Physiology
More informationLATERAL INHIBITION MECHANISM IN COMPUTATIONAL AUDITORY MODEL AND IT'S APPLICATION IN ROBUST SPEECH RECOGNITION
LATERAL INHIBITION MECHANISM IN COMPUTATIONAL AUDITORY MODEL AND IT'S APPLICATION IN ROBUST SPEECH RECOGNITION Lu Xugang Li Gang Wang Lip0 Nanyang Technological University, School of EEE, Workstation Resource
More informationSimulations of high-frequency vocoder on Mandarin speech recognition for acoustic hearing preserved cochlear implant
INTERSPEECH 2017 August 20 24, 2017, Stockholm, Sweden Simulations of high-frequency vocoder on Mandarin speech recognition for acoustic hearing preserved cochlear implant Tsung-Chen Wu 1, Tai-Shih Chi
More informationSLHS 1301 The Physics and Biology of Spoken Language. Practice Exam 2. b) 2 32
SLHS 1301 The Physics and Biology of Spoken Language Practice Exam 2 Chapter 9 1. In analog-to-digital conversion, quantization of the signal means that a) small differences in signal amplitude over time
More informationSYMLET AND GABOR WAVELET PREDICTION OF PRINT DEFECTS
University of Kentucky UKnowledge University of Kentucky Master's Theses Graduate School 2005 SYMLET AND GABOR WAVELET PREDICTION OF PRINT DEFECTS Elios Klemo University of Kentucky, eklemous@yahoo.com
More informationAdaptive Feedback Cancellation for the RHYTHM R3920 from ON Semiconductor
Adaptive Feedback Cancellation for the RHYTHM R3920 from ON Semiconductor This information note describes the feedback cancellation feature provided in in the latest digital hearing aid amplifiers for
More informationEssential feature. Who are cochlear implants for? People with little or no hearing. substitute for faulty or missing inner hair
Who are cochlear implants for? Essential feature People with little or no hearing and little conductive component to the loss who receive little or no benefit from a hearing aid. Implants seem to work
More informationAuditory model for the speech audiogram from audibility to intelligibility for words (work in progress)
Auditory model for the speech audiogram from audibility to intelligibility for words (work in progress) Johannes Lyzenga 1 Koenraad S. Rhebergen 2 1 VUmc, Amsterdam 2 AMC, Amsterdam Introduction - History:
More informationAn Auditory-Model-Based Electrical Stimulation Strategy Incorporating Tonal Information for Cochlear Implant
Annual Progress Report An Auditory-Model-Based Electrical Stimulation Strategy Incorporating Tonal Information for Cochlear Implant Joint Research Centre for Biomedical Engineering Mar.7, 26 Types of Hearing
More informationPower Instruments, Power sources: Trends and Drivers. Steve Armstrong September 2015
Power Instruments, Power sources: Trends and Drivers Steve Armstrong September 2015 Focus of this talk more significant losses Severe Profound loss Challenges Speech in quiet Speech in noise Better Listening
More informationThe Use of a High Frequency Emphasis Microphone for Musicians Published on Monday, 09 February :50
The Use of a High Frequency Emphasis Microphone for Musicians Published on Monday, 09 February 2009 09:50 The HF microphone as a low-tech solution for performing musicians and "ultra-audiophiles" Of the
More informationIMPROVING CHANNEL SELECTION OF SOUND CODING ALGORITHMS IN COCHLEAR IMPLANTS. Hussnain Ali, Feng Hong, John H. L. Hansen, and Emily Tobey
2014 IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP) IMPROVING CHANNEL SELECTION OF SOUND CODING ALGORITHMS IN COCHLEAR IMPLANTS Hussnain Ali, Feng Hong, John H. L. Hansen,
More informationHearing the Universal Language: Music and Cochlear Implants
Hearing the Universal Language: Music and Cochlear Implants Professor Hugh McDermott Deputy Director (Research) The Bionics Institute of Australia, Professorial Fellow The University of Melbourne Overview?
More informationSynaptopathy Research Uwe Andreas Hermann
Potential diagnose and basic understanding of hidden hearing loss Synaptopathy Research Uwe Andreas Hermann Motivation Synaptopathy is a current hot topic in the research field because it focuses on a
More informationThe clinical Link. Distortion Product Otoacoustic Emission
Distortion product otoacoustic emissions: Introduction Michael P. Gorga, Ph.D. Boys Town National Research Hospital Work supported by the NIH Collaborators on BTNRH OAE Projects Stephen Neely Kathy Beauchaine
More informationDetection and Classification of QRS and ST segment using WNN
Detection and Classification of QRS and ST segment using WNN 1 Surendra Dalu, 2 Nilesh Pawar 1 Electronics and Telecommunication Department, Government polytechnic Amravati, Maharastra, 44461, India 2
More informationSingle channel noise reduction in hearing aids
Single channel noise reduction in hearing aids Recordings for perceptual evaluation Inge Brons Rolph Houben Wouter Dreschler Introduction Hearing impaired have difficulty understanding speech in noise
More informationReal-Time Hardware Implementation of Telephone Speech Enhancement Algorithm
Real-Time Hardware Implementation of Telephone Speech Enhancement Algorithm A Thesis Presented in Partial Fulfillment of the Requirements for the Degree Bachelor of Science with Honors Research Distinction
More informationPERIPHERAL AND CENTRAL AUDITORY ASSESSMENT
PERIPHERAL AND CENTRAL AUDITORY ASSESSMENT Ravi Pachigolla, MD Faculty Advisor: Jeffery T. Vrabec, MD The University of Texas Medical Branch At Galveston Department of Otolaryngology Grand Rounds Presentation
More informationHeart Sounds Segmentation Analysis Using Daubechies Wavelet (db),
Heart Sounds Segmentation Analysis Using Daubechies Wavelet (db), Lekram Bahekar1, Abhishek Misal2, 1ME Scholar, Department of Electronics & Telecommunication Engineering, Chhatrapati Shivaji Institute
More informationTopic 4. Pitch & Frequency
Topic 4 Pitch & Frequency A musical interlude KOMBU This solo by Kaigal-ool of Huun-Huur-Tu (accompanying himself on doshpuluur) demonstrates perfectly the characteristic sound of the Xorekteer voice An
More informationDiscrete Wavelet Transform-based Baseline Wandering Removal for High Resolution Electrocardiogram
26 C. Bunluechokchai and T. Leeudomwong: Discrete Wavelet Transform-based Baseline... (26-31) Discrete Wavelet Transform-based Baseline Wandering Removal for High Resolution Electrocardiogram Chissanuthat
More informationImproving the diagnostic power of otoacoustic emissions. Arturo Moleti Physics Department University of Roma Tor Vergata
Improving the diagnostic power of otoacoustic emissions Arturo Moleti Physics Department University of Roma Tor Vergata The human ear Ear canal: resonant cavity Middle ear: impedance adapter and pressure
More informationDifference Evaluation Method for Differential Diagnosis of Frequency Specific Hearing Loss
Dietl, H. and Weiss, S. (2004) Difference evaluation method for differential diagnosis of frequency-specific hearing loss. In: IPEM Meeting on Signal Processing Applications in Clinical Neurophysiology,
More information1706 J. Acoust. Soc. Am. 113 (3), March /2003/113(3)/1706/12/$ Acoustical Society of America
The effects of hearing loss on the contribution of high- and lowfrequency speech information to speech understanding a) Benjamin W. Y. Hornsby b) and Todd A. Ricketts Dan Maddox Hearing Aid Research Laboratory,
More informationModulation and Top-Down Processing in Audition
Modulation and Top-Down Processing in Audition Malcolm Slaney 1,2 and Greg Sell 2 1 Yahoo! Research 2 Stanford CCRMA Outline The Non-Linear Cochlea Correlogram Pitch Modulation and Demodulation Information
More informationREVIEW ON ARRHYTHMIA DETECTION USING SIGNAL PROCESSING
REVIEW ON ARRHYTHMIA DETECTION USING SIGNAL PROCESSING Vishakha S. Naik Dessai Electronics and Telecommunication Engineering Department, Goa College of Engineering, (India) ABSTRACT An electrocardiogram
More informationWIDEXPRESS. no.30. Background
WIDEXPRESS no. january 12 By Marie Sonne Kristensen Petri Korhonen Using the WidexLink technology to improve speech perception Background For most hearing aid users, the primary motivation for using hearing
More informationFREQUENCY. Prof Dr. Mona Mourad Dr.Manal Elbanna Doaa Elmoazen ALEXANDRIA UNIVERSITY. Background
FREQUENCY TRANSPOSITION IN HIGH FREQUENCY SNHL Prof Dr. Mona Mourad Dr.Manal Elbanna Doaa Elmoazen Randa Awad ALEXANDRIA UNIVERSITY Background Concept Of Frequency Transposition Frequency transposition
More informationVIBRATION-BASED CAVITATION DETECTION IN CENTRIFUGAL PUMPS
Article citation info: Hajnayeb A, Azizi R, Ghanbarzadeh A, Changizian M. Vibration-based cavitation detection in centrifugal pumps. Diagnostyka, 7;8(3):77-83 77 DIAGNOSTYKA, 7, Vol. 8, No. 3 ISSN 64 644
More informationSound Texture Classification Using Statistics from an Auditory Model
Sound Texture Classification Using Statistics from an Auditory Model Gabriele Carotti-Sha Evan Penn Daniel Villamizar Electrical Engineering Email: gcarotti@stanford.edu Mangement Science & Engineering
More information