Sound capture and processing: practical approaches
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| Format: | Buch |
| Sprache: | English |
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Chichester
Wiley
2009
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| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Includes index |
| Beschreibung: | XX, 365 S. |
| ISBN: | 9780470319833 |
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| 245 | 1 | 0 | |a Sound capture and processing |b practical approaches |c Ivan J. Tashev |
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| 650 | 4 | |a Speech processing systems | |
| 650 | 4 | |a Sound |x Recording and reproducing |x Digital techniques | |
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Datensatz im Suchindex
| _version_ | 1804140798419140608 |
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| adam_text | SOUND CAPTURE AND PROCESSING PRACTICAL APPROACHES IVAN J. TASHEV
MICROSOFT RESEARCH, USA WILEY A JOHN WILEY AND SONS, LTD., PUBLICATION
CONTENTS ABOUT THE AUTHOR XV FOREWORD XVII PREFACE XIX ACKNOWLEDGEMENTS
XXI 1 INTRODUCTION 1 1.1 THE NEED FOR, AND CONSUMERS OF, SOUND CAPTURE
AND AUDIO PROCESSING ALGORITHMS 1 1.2 TYPICAL SOUND CAPTURE SYSTEM 2 1.3
THE GOAL OF THIS BOOK AND ITS TARGET AUDIENCE 3 1.4 PREREQUISITES 4 1.5
BOOK STRUCTURE 4 1.6 EXERCISES 5 2 BASICS 7 2.1 NOISE: DEFINITION,
MODELING, PROPERTIES 7 2.1.1 STATISTICAL PROPERTIES 7 2.1.2 SPECTRAL
PROPERTIES 9 2.1.3 TEMPORAL PROPERTIES 11 2.1.4 SPATIAL CHARACTERISTICS
11 2.2 SIGNAL: DEFINITION, MODELING, PROPERTIES 12 2.2.1 STATISTICAL
PROPERTIES 13 2.2.2 SPECTRAL PROPERTIES 16 2.2.3 TEMPORAL PROPERTIES 17
2.2.4 SPATIAL CHARACTERISTICS 18 2.3 CLASSIFICATION: SUPPRESSION,
CANCELLATION, ENHANCEMENT 19 2.3.1 NOISE SUPPRESSION 19 2.3.2 NOISE
CANCELLATION 20 2.3.3 ACTIVE NOISE CANCELLATION 20 2.3.4
DE-REVERBERATION 21 2.3.5 SPEECH ENHANCEMENT 21 2.3.6 ACOUSTIC ECHO
REDUCTION 21 2.4 SAMPLING AND QUANTIZATION 23 2.4.1 SAMPLING PROCESS AND
SAMPLING THEOREM 23 VIII CONTENTS 2.4.2 QUANTIZATION 25 2.4.3 SIGNAL
RECONSTRUCTION 27 2.4.4 ERRORS DURING REAL DISCRETIZATION 29 2.4.4.1
DISCRETIZATION WITH A NON-IDEAL SAMPLING FUNCTION 29 2.4.4.2 SAMPLING
WITH AVERAGING 30 2.4.4.3 SAMPLING SIGNALS WITH FINITE DURATION 31 2.5
AUDIO PROCESSING IN THE FREQUENCY DOMAIN 32 2.5.1 PROCESSING IN THE
FREQUENCY DOMAIN 32 2.5.2 PROPERTIES OF THE FREQUENCY DOMAIN
REPRESENTATION 33 2.5.3 DISCRETE FOURIER TRANSFORMATION 35 2.5.4
SHORT-TIME TRANSFORMATION, AND WEIGHTING 36 2.5.5 OVERLAP-ADD PROCESS 37
2.5.6 SPECTROGRAM: TIME-FREQUENCY REPRESENTATION OF THE SIGNAL 40 2.5.7
OTHER METHODS FOR TRANSFORMATION TO THE FREQUENCY DOMAIN 42 2.5.7.1
LAPPED TRANSFORMATIONS 42 2.5.7.2 CEPSTRAL ANALYSIS 43 2.6 BANDWIDTH
LIMITING 45 2.7 SIGNAL-TO-NOISE-RATIO: DEFINITION AND MEASUREMENT 48 2.8
SUBJECTIVE QUALITY MEASUREMENT 49 2.9 OTHER METHODS FOR QUALITY AND
ENHANCEMENT MEASUREMENT 50 2.10 SUMMARY 52 BIBLIOGRAPHY 53 SOUND AND
SOUND CAPTURING DEVICES 55 3.1 SOUND AND SOUND PROPAGATION 55 3.1.1
SOUND AS A LONGITUDINAL MECHANICAL WAVE 55 3.1.2 FREQUENCY OF THE SOUND
WAVE 56 3.1.3 SPEED OF SOUND 58 3.1.4 WAVELENGTH 60 3.1.5 SOUND WAVE
PARAMETERS 61 3.1.5.1 INTENSITY 61 3.1.5.2 SOUND PRESSURE LEVEL 61
3.1.5.3 POWER 62 3.1.5.4 SOUND ATTENUATION 63 3.1.6 HUYGENS PRINCIPLE,
DIFFRACTION, AND REFLECTION 63 3.1.7 DOPPLER EFFECT 65 3.1.8 WEIGHTING
CURVES AND MEASURING SOUND PRESSURE LEVELS 66 3.2 MICROPHONES 68 3.2.1
DEFINITION 68 3.2.2 MICROPHONE CLASSIFICATION BY CONVERSION TYPE 69 3.3
OMNIDIRECTIONAL AND PRESSURE GRADIENT MICROPHONES 70 3.3.1 PRESSURE
MICROPHONE 70 3.3.2 PRESSURE-GRADIENT MICROPHONE 71 3.4 PARAMETER
DEFINITIONS 73 3.4.1 MICROPHONE SENSITIVITY 73 3.4.2 MICROPHONE NOISE
AND OUTPUT SNR 74 CONTENTS IX 3.4.3 DIRECTIVITY PATTERN 74 3.4.4
FREQUENCY RESPONSE 75 3.4.5 DIRECTIVITY INDEX 75 3.4.6 AMBIENT NOISE
SUPPRESSION 77 3.4.7 ADDITIONAL ELECTRICAL PARAMETERS 77 3.4.8
MANUFACTURING TOLERANCES 78 3.5 FIRST-ORDER DIRECTIONAL MICROPHONES 82
3.6 NOISE-CANCELING MICROPHONES AND THE PROXIMITY EFFECT 84 3.7
MEASUREMENT OF MICROPHONE PARAMETERS 87 3.7.1 SENSITIVITY 87 3.7.2
DIRECTIVITY PATTERN 87 3.7.3 SELF NOISE 90 3.8 MICROPHONE MODELS 92 3.9
SUMMARY 92 BIBLIOGRAPHY 93 SINGLE-CHANNEL NOISE REDUCTION 95 4.1 NOISE
SUPPRESSION AS A SIGNAL ESTIMATION PROBLEM 96 4.2 SUPPRESSION RULES 96
4.2.1 NOISE SUPPRESSION AS GAIN-BASED PROCESSING 96 4.2.2 DEFINITION OF
A-PRIORI AND A-POSTERIORI SNRS 97 4.2.3 WIENER SUPPRESSION RULE 98 4.2.4
ARTIFACTS AND DISTORTIONS 99 4.2.5 SPECTRAL SUBTRACTION RULE 100 4.2.6
MAXIMUM-LIKELIHOOD SUPPRESSION RULE 100 4.2.7 EPHRAIM AND MALAH
SHORT-TERM MMSE SUPPRESSION RULE 102 4.2.8 EPHRAIM AND MALAH SHORT-TERM
LOG-MMSE SUPPRESSION RULE 103 4.2.9 MORE EFFICIENT SOLUTIONS 103 4.2.10
EXPLORING OTHER PROBABILITY DISTRIBUTIONS OF THE SPEECH SIGNAL 105
4.2.11 PROBABILITY-BASED SUPPRESSION RULES 108 4.2.12 COMPARISON OF THE
SUPPRESSION RULES 111 4.3 UNCERTAIN PRESENCE OF THE SPEECH SIGNAL 115
4.3.1 VOICE ACTIVITY DETECTORS 115 4.3.1.1 ROC CURVES 116 4.3.1.2 SIMPLE
VAD WITH DUAL-TIME-CONSTANT INTEGRATOR 118 4.3.1.3
STATISTICAL-MODEL-BASED VAD WITH LIKELIHOOD RATIO TEST 122 4.3.1.4 VAD
WITH FLOATING THRESHOLD AND HANGOVER SCHEME WITH STATE MACHINE 123
4.3.2. MODIFIED SUPPRESSION RULE 124 4.3.3. PRESENCE PROBABILITY
ESTIMATORS 126 4.4 ESTIMATION OF THE SIGNAL AND NOISE PARAMETERS 126
4.4.1 NOISE MODELS: UPDATING AND STATISTICAL PARAMETERS 126 4.4.2
A-PRIORI SNR ESTIMATION 127 4.5 ARCHITECTURE OF A NOISE SUPPRESSOR 130
4.6 OPTIMIZING THE ENTIRE SYSTEM 137 4.7 SPECIALIZED NOISE-REDUCTION
SYSTEMS 139 CONTENTS 4.7.1 ADAPTIVE NOISE CANCELLATION 139 4.7.2
PSYCHOACOUSTIC NOISE SUPPRESSION 142 4.7.2.1 HUMAN HEARING ORGAN 142
4.7.2.2 LOUDNESS 143 4.7.2.3 MASKING EFFECTS 144 4.7.2.4 PERCEPTUALLY
BALANCED NOISE SUPPRESSORS 149 4.7.3 SUPPRESSION OF PREDICTABLE
COMPONENTS 150 4.7.4 NOISE SUPPRESSION BASED ON SPEECH MODELING 157 4.8
PRACTICAL TIPS AND TRICKS FOR NOISE SUPPRESSION 158 4.8.1 MODEL
INITIALIZATION AND TRACKING 158 4.8.2 AVERAGING IN THE FREQUENCY DOMAIN
159 4.8.3 LIMITING 159 4.8.4 MINIMAL GAIN 159 4.8.5 OVERFLOW AND
UNDERFLOW 160 4.8.6 DEALING WITH HIGH SIGNAL-TO-NOISE RATIOS 160 4.8.7
FAST REAL-TIME IMPLEMENTATION 161 4.9 SUMMARY 161 BIBLIOGRAPHY 162 SOUND
CAPTURE WITH MICROPHONE ARRAYS 165 5.1 DEFINITIONS AND TYPES OF
MICROPHONE ARRAY 165 5.1.1 TRANSDUCER ARRAYS AND THEIR APPLICATIONS 165
5.1.2 SPECIFICS OF ARRAY PROCESSING FOR AUDIO APPLICATIONS 169 5.1.3
TYPES OF MICROPHONE ARRAYS 171 5.1.3.1 LINEAR MICROPHONE ARRAYS 171
5.1.3.2 CIRCULAR MICROPHONE ARRAYS 172 5.1.3.3 PLANAR MICROPHONE ARRAYS
173 5.1.3.4 VOLUMETRIC (3D) MICROPHONE ARRAYS 173 5.1.3.5 SPECIALIZED
MICROPHONE ARRAYS 174 5.2 THE SOUND CAPTURE MODEL AND BEAMFORMING 174
5.2.1 COORDINATE SYSTEM 174 5.2.2 SOUND PROPAGATION AND CAPTURE 176
5.2.2.1 NEAR-FIELD MODEL 176 5.2.2.2 FAR-FIELD MODEL 177 5.2.3 SPATIAL
ALIASING AND AMBIGUITY 178 5.2.4 SPATIAL CORRELATION OF THE MICROPHONE
SIGNALS 181 5.2.5 DELAY-AND-SUM BEAMFORMER 182 5.2.6 GENERALIZED
FILTER-AND-SUM BEAMFORMER 187 5.3 TERMINOLOGY AND PARAMETER DEFINITIONS
188 5.3.1 TERMINOLOGY 188 5.3.2 DIRECTIVITY PATTERN AND DIRECTIVITY
INDEX 190 5.3.3 BEAM WIDTH 192 5.3.4 ARRAY GAIN 193 5.3.5 UNCORRELATED
NOISE GAIN 194 5.3.6 AMBIENT NOISE GAIN 194 5.3.7 TOTAL NOISE GAIN
CONTENTS XI 5.3.8 IDOA SPACE DEFINITION 195 5.3.9 BEAMFORMER DESIGN GOAL
AND CONSTRAINTS 197 5.4 TIME-INVARIANT BEAMFORMERS 198 5.4.1 MVDR
BEAMFORMER 198 5.4.2 MORE REALISTIC DESIGN - ADDING THE MICROPHONE SELF
NOISE 201 5.4.3 OTHER CRITERIA FOR OPTIMALITY 202 5.4.4 BEAM PATTERN
SYNTHESIS 203 5.4.4.1 BEAM PATTERN SYNTHESIS WITH THE COSINE FUNCTION
203 5.4.4.2 BEAM PATTERN SYNTHESIS WITH DOLPH-CHEBYSHEV POLYNOMIALS 205
5.4.4.3 PRACTICAL USE OF BEAM PATTERN SYNTHESIS 207 5.4.5 BEAM WIDTH
OPTIMIZATION 207 5.4.6 BEAMFORMER WITH DIRECT OPTIMIZATION 210 5.5
CHANNEL MISMATCH AND HANDLING 213 5.5.1 REASONS FOR CHANNEL MISMATCH 213
5.5.2 HOW MANUFACTURING TOLERANCES AFFECT THE BEAMFORMER 215 5.5.3
CALIBRATION AND SELF-CALIBRATION ALGORITHMS 218 5.5.3.1 CLASSIFICATION
OF CALIBRATION ALGORITHMS 218 5.5.3.2 GAIN SELF-CALIBRATION ALGORITHMS
219 5.5.3.3 PHASE SELF-CALIBRATION ALGORITHM 222 5.5.3.4
SELF-CALIBRATION ALGORITHMS - PRACTICAL USE 222 5.5.4 DESIGNS ROBUST TO
MANUFACTURING TOLERANCES 223 5.5.4.1 TOLERANCES AS UNCORRELATED NOISE
223 5.5.4.2 COST FUNCTIONS AND OPTIMIZATION GOALS 224 5.5.4.3 MVDR
BEAMFORMER ROBUST TO MANUFACTURING TOLERANCES 225 5.5.4.4 BEAMFORMER
WITH DIRECT OPTIMIZATION ROBUST TO MANUFACTURING TOLERANCES 225 5.5.4.5
BALANCED DESIGN FOR HANDLING THE MANUFACTURING TOLERANCES 230 5.6
ADAPTIVE BEAMFORMERS 231 5.6.1 MVDR AND MPDR ADAPTIVE BEAMFORMERS 231
5.6.2 LMS ADAPTIVE BEAMFORMERS 231 5.6.2.1 WIDROW BEAMFORMER 232 5.6.2.2
FROST BEAMFORMER 232 5.6.3 GENERALIZED SIDE-LOBE CANCELLER 233 5.6.3.1
GRIFFITHS-JIM BEAMFORMER 233 5.6.3.2 ROBUST GENERALIZED SIDE-LOBE
CANCELLER 235 5.6.4 ADAPTIVE ALGORITHMS FOR MICROPHONE ARRAYS - SUMMARY
236 5.7 MICROPHONE-ARRAY POST-PROCESSORS 236 5.7.1 MULTIMICROPHONE MMSE
ESTIMATOR 237 5.7.2 POST-PROCESSOR BASED ON POWER DENSITIES ESTIMATION
238 5.7.3 POST-PROCESSOR BASED ON NOISE-FIELD COHERENCE 240 5.7.4
SPATIAL SUPPRESSION AND FILTERING IN THE IDOA SPACE 241 5.7.4.1 SPATIAL
NOISE SUPPRESSION 242 5.7.4.2 SPATIAL FILTERING 244 CONTENTS 5.7.4.3
SPATIAL FILTER IN SIDE-LOBE CANCELLER SCHEME 5.7.4.4 COMBINATION WITH
LMS ADAPTIVE FILTER SPECIFIC ALGORITHMS FOR SMALL MICROPHONE ARRAYS
5.8.1 LINEAR BEAMFORMING USING THE DIRECTIVITY OF THE MICROPHONES 5.8.2
SPATIAL SUPPRESSOR USING MICROPHONE DIRECTIVITY 5.8.2.1 TIME-INVARIANT
LINEAR * EAMFORMERS FEATURE EXTRACTION AND STATISTICAL MODELS
PROBABILITY ESTIMATION AND FEATURES FUSION ESTIMATION OF OPTIMAL
TIME-INVARIANT PARAMETERS 5.9 5.8.2.2 5.8.2.3 5.8.2.4 SUMMARY
BIBLIOGRAPHY 247 248 250 251 254 255 256 258 258 260 261 SOUND SOURCE
LOCALIZATION AND TRACKING WITH MICROPHONE ARRAYS 6.1 SOUND SOURCE
LOCALIZATION 6.1.1 GOAL OF SOUND SOURCE LOCALIZATION 6.1.2 MAJOR
SCENARIOS 6.1.3 PERFORMANCE LIMITATIONS 6.1.4 HOW HUMANS AND ANIMALS
LOCALIZE SOUNDS 6.1.5 ANATOMY OF A SOUND SOURCE LOCALIZER 6.1.6
EVALUATION OF SOUND SOURCE LOCALIZERS 6.2 SOUND SOURCE LOCALIZATION FROM
A SINGLE FRAME 6.2.1 METHODS BASED ON TIME DELAY ESTIMATION 6.2.1.1 TIME
DELAY ESTIMATION FOR ONE PAIR OF MICROPHONES 6.2.1.2 COMBINING THE PAIRS
6.2.2 METHODS BASED ON STEERED-RESPONSE POWER 6.2.2.1 CONVENTIONAL
STEERED-RESPONSE POWER ALGORITHMS WEIGHTED STEERED-RESPONSE POWER
ALGORITHM MAXIMUM-LIKELIHOOD ALGORITHM MUSIC ALGORITHM COMBINING THE
BINS COMPARISON OF THE STEERED-RESPONSE POWER ALGORITHMS PARTICLE
FILTERS 6.2.2.2 6.2.2.3 6.2.2.4 6.2.2.5 6.2.2.6 6.2.2.7 6.3
POST-PROCESSING ALGORITHMS 6.3.1 PURPOSE 6.3.2 SIMPLE CLUSTERING 6.3.2.1
GROUPING THE MEASUREMENTS 6.3.2.2 DETERMINING THE NUMBER OF CLUSTER
CANDIDATES 6.3.2.3 AVERAGING THE MEASUREMENTS IN EACH CLUSTER CANDIDATE
6.3.2.4 REDUCTION OF THE POTENTIAL SOUND SOURCES 6.3.3 LOCALIZATION AND
TRACKING OF MULTIPLE SOUND SOURCES 6.3.3.1 FC-MEANS CLUSTERING 6.3.3.2
FUZZY C-MEANS CLUSTERING 6.3.3.3 TRACKING THE DYNAMICS 6.4 PRACTICAL
APPROACHES AND TIPS 6.4.1 INCREASING THE RESOLUTION OF TIME-DELAY
ESTIMATES 6.4.2 PRACTICAL ALTERNATIVES FOR FINDING THE PEAKS 263 263 263
264 266 266 270 271 272 272 272 278 280 281 281 282 282 284 285 286 291
291 294 294 294 295 296 296 297 298 299 300 300 301 XIII 6.4.3 PEAK
SELECTION AND WEIGHTING 301 6.4.4 ASSIGNING CONFIDENCE LEVELS AND
PRECISION 302 6.5 SUMMARY 303 BIBLIOGRAPHY 304 ACOUSTIC ECHO-REDUCTION
SYSTEMS 307 7.1 GENERAL PRINCIPLES AND TERMINOLOGY 307 7.1.1 PROBLEM
DESCRIPTION 307 7.1.2 ACOUSTIC ECHO CANCELLATION 309 7.1.3 ACOUSTIC ECHO
SUPPRESSION 311 7.1.4 EVALUATION PARAMETERS 312 7.2 LMS SOLUTION FOR
ACOUSTIC ECHO CANCELLATION 313 7.3 NLMS AND RLS ALGORITHMS 315 7.4
DOUBLE-TALK DETECTORS 316 7.4.1 PRINCIPLE AND EVALUATION 316 7.4.2
GEIGEL ALGORITHM 317 7.4.3 CROSS-CORRELATION ALGORITHMS 317 7.4.4
COHERENCE ALGORITHMS 319 7.5 NON-LINEAR ACOUSTIC ECHO CANCELLATION 320
7.5.1 NON-LINEAR DISTORTIONS 320 7.5.2 NON-LINEAR AEC WITH ADAPTIVE
VOLTERRA FILTERS 321 7.5.3 NON-LINEAR AEC USING ORTHOGONALIZED POWER
FILTERS 322 7.5.4 NON-LINEAR AEC IN THE FREQUENCY DOMAIN 323 7.6
ACOUSTIC ECHO SUPPRESSION 323 7.6.1 ESTIMATION OF THE RESIDUAL ENERGY
323 7.6.2 SUPPRESSING THE ECHO RESIDUAL 325 7.7 MULTICHANNEL ACOUSTIC
ECHO REDUCTION 327 7.7.1 THE NON-UNIQUENES PROBLEM 327 7.7.2 TRACKING
THE CHANGES 329 7.7.3 DECORRELATION OF THE CHANNELS 329 7.7.4
MULTICHANNEL ACOUSTIC ECHO SUPPRESSION 330 7.7.5 REDUCING THE DEGREES OF
FREEDOM 331 7.8 PRACTICAL ASPECTS OF THE ACOUSTIC ECHO-REDUCTION SYSTEMS
334 7.8.1 SHADOW FILTERS 334 7.8.2 CENTER CLIPPER 334 7.8.3 FEEDBACK
PREVENTION 335 7.8.4 TRACKING THE CLOCK DRIFTS 335 7.8.5 PUTTING THEM
ALL TOGETHER 336 7.9 SUMMARY 337 BIBLIOGRAPHY 338 DE-REVERBERATION 341
8.1 REVERBERATION AND MODELING 341 8.1.1 REVERBERATION EFFECT 341 8.1.2
HOW REVERBERATION AFFECTS HUMANS 345 8.1.3 REVERBERATION AND SPEECH
RECOGNITION 347 XIV CONTENTS 8.1.4 MEASURING THE REVERBERATION 348 8.1.5
MODELING 350 8.2 DE-REVERBERATION VIA DE-CONVOLUTION 351 8.2.1
DE-REVERBERATION USING CEPSTRAM 352 8.2.2 DE-REVERBERATION WITH LP
RESIDUAL 352 8.2.3 DE-REVERBERATION USING SPEECH SIGNAL PROPERTIES 353
8.3 DE-REVERBERATION VIA SUPPRESSION 353 8.4 DE-REVERBERATION WITH
MULTIPLE MICROPHONES 354 8.4.1 BEAMFORMING 354 8.4.2 MINT ALGORITHM 354
8.5 PRACTICAL RECOMMENDATIONS 355 8.6 SUMMARY 356 BIBLIOGRAPHY 356 INDEX
359
|
| any_adam_object | 1 |
| author | Tashev, Ivan J. |
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| building | Verbundindex |
| bvnumber | BV035834148 |
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| callnumber-subject | TK - Electrical and Nuclear Engineering |
| classification_rvk | ST 306 |
| ctrlnum | (OCoLC)317777977 (DE-599)BVBBV035834148 |
| dewey-full | 621.381 621.382/8 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 621 - Applied physics |
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| dewey-search | 621.381 621.382/8 |
| dewey-sort | 3621.381 |
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| discipline | Informatik Elektrotechnik / Elektronik / Nachrichtentechnik |
| format | Book |
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| id | DE-604.BV035834148 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-09T22:05:42Z |
| institution | BVB |
| isbn | 9780470319833 |
| language | English |
| lccn | 2009011987 |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-018692619 |
| oclc_num | 317777977 |
| open_access_boolean | |
| owner | DE-29T |
| owner_facet | DE-29T |
| physical | XX, 365 S. |
| publishDate | 2009 |
| publishDateSearch | 2009 |
| publishDateSort | 2009 |
| publisher | Wiley |
| record_format | marc |
| spelling | Tashev, Ivan J. Verfasser (DE-588)138913447 aut Sound capture and processing practical approaches Ivan J. Tashev Chichester Wiley 2009 XX, 365 S. txt rdacontent n rdamedia nc rdacarrier Includes index Speech processing systems Sound Recording and reproducing Digital techniques Signal processing Digital gechniques Digitale Sprachverarbeitung (DE-588)4233857-8 gnd rswk-swf Digitale Signalverarbeitung (DE-588)4113314-6 gnd rswk-swf Digitale Signalverarbeitung (DE-588)4113314-6 s Digitale Sprachverarbeitung (DE-588)4233857-8 s DE-604 GBV Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=018692619&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Tashev, Ivan J. Sound capture and processing practical approaches Speech processing systems Sound Recording and reproducing Digital techniques Signal processing Digital gechniques Digitale Sprachverarbeitung (DE-588)4233857-8 gnd Digitale Signalverarbeitung (DE-588)4113314-6 gnd |
| subject_GND | (DE-588)4233857-8 (DE-588)4113314-6 |
| title | Sound capture and processing practical approaches |
| title_auth | Sound capture and processing practical approaches |
| title_exact_search | Sound capture and processing practical approaches |
| title_full | Sound capture and processing practical approaches Ivan J. Tashev |
| title_fullStr | Sound capture and processing practical approaches Ivan J. Tashev |
| title_full_unstemmed | Sound capture and processing practical approaches Ivan J. Tashev |
| title_short | Sound capture and processing |
| title_sort | sound capture and processing practical approaches |
| title_sub | practical approaches |
| topic | Speech processing systems Sound Recording and reproducing Digital techniques Signal processing Digital gechniques Digitale Sprachverarbeitung (DE-588)4233857-8 gnd Digitale Signalverarbeitung (DE-588)4113314-6 gnd |
| topic_facet | Speech processing systems Sound Recording and reproducing Digital techniques Signal processing Digital gechniques Digitale Sprachverarbeitung Digitale Signalverarbeitung |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=018692619&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT tashevivanj soundcaptureandprocessingpracticalapproaches |