Pulkki | Communication Acoustics | Buch | 978-1-394-36727-6 | www.sack.de

Buch, Englisch, 512 Seiten

Pulkki

Communication Acoustics

An Introduction to Speech, Audio and Psychoacoustics
2. Auflage 2027
ISBN: 978-1-394-36727-6
Verlag: Wiley John + Sons

An Introduction to Speech, Audio and Psychoacoustics

Buch, Englisch, 512 Seiten

ISBN: 978-1-394-36727-6
Verlag: Wiley John + Sons


Master communication acoustics with AI, spatial audio, and VR

The newly revised second edition of Communication Acoustics provides graduate students and professionals with comprehensive foundations in auditory perception, signal processing, and modern computational methods. The authors integrate traditional psychoacoustic principles with cutting-edge developments in machine learning, sound and music computing, spatial audio, and immersive virtual reality audio systems.

This updated edition includes a broad and comprehensive introduction to machine learning techniques used in different branches of audio, speech, and technical audiology. Coverage includes recent advances in spatial audio rendering, VR audio systems, computational auditory modeling, sound quality measurement, electroacoustic transducers, and hearing aid processing. Python programming examples with comprehensive teaching materials support hands-on learning and practical application.

Readers will find: - Machine learning using neural architectures and methods directly applicable in audio and speech technologies
- Spatial audio for virtual reality including 6DOF rendering, head tracking, and advanced HRIR individualization techniques
- Comprehensive view to sound and music computing, from audio coding to sound synthesis, audio effects, and reverberation
- Updated content on loudspeakers and microphones, source directivity, musical instrument physics, and physical modeling of musical instruments
- Psychoacoustics including new imagery of the cochlea, perceptual cues, listening tests and psychoacoustic quantities
- Python programming examples with supplementary teaching slides and project instructions to support hands-on learning and course implementation

Communication Acoustics is an ideal resource for graduate students in electrical engineering, PhD researchers in acoustics, and industrial R&D professionals. By integrating psychoacoustic principles with advances in AI, spatial audio, and VR technologies, the book prepares readers for next-generation solutions.

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Weitere Infos & Material


Preface to Second Edition xix

Introduction 1

1 How to Study and Develop Communication Acoustics 7

1.1 Domains of Knowledge 7

1.2 Methodology of Research and Development 8

1.3 Systems Approach to Modelling 10

1.4 Focus of the Book 12

1.5 Intended Audience 13

References 13

2 Physics of Sound 15

2.1 Vibration and Wave Behaviour of Sound 15

2.1.1 From Vibration to Waves 16

2.1.2 A Simple Vibrating System 16

2.1.3 Resonance 18

2.1.4 Complex Mass–Spring Systems 19

2.1.5 Modal Behaviour 19

2.1.6 Waves 21

2.2 Acoustic Measures and Quantities 22

2.2.1 Sound and Voice as Signals 23

2.2.2 Sound Pressure 23

2.2.3 Sound Pressure Level 24

2.2.4 Sound Power 24

2.2.5 Energetic Analysis of Sound Fields 25

2.2.6 Computation with Amplitude and Level Quantities 26

2.3 Wave Phenomena 26

2.3.1 Spherical Waves 27

2.3.2 Plane Waves and the Wave Field in a Tube 27

2.3.3 Wave Propagation in Solid Materials 29

2.3.4 Reflection, Absorption and Refraction 31

2.3.5 Scattering and Diffraction 32

2.3.6 Doppler Effect 32

2.4 Sound in Closed Spaces: Acoustics of Rooms and Halls 34

2.4.1 Sound Field in a Room 34

2.4.2 Reverberation 36

2.4.3 Sound Pressure Level in a Room 37

2.4.4 Modal Behaviour of Sound in a Room 37

2.4.5 Computational Modelling of Closed Space Acoustics 39

References 40

3 Signal Processing and Signals 43

3.1 Signals 43

3.1.1 Sounds as Signals 43

3.1.2 Typical Signals 45

3.2 Fundamental Concepts of Signal Processing 46

3.2.1 Linear and Time-invariant Systems 46

3.2.2 Convolution 47

3.2.3 Signal Transforms 48

3.2.4 Fourier Analysis and Synthesis 48

3.2.5 Spectrum Analysis 50

3.2.6 Time–Frequency Representations 51

3.2.7 Auto- and Cross-correlation 54

3.2.8 Cepstrum 55

3.3 Digital Signal Processing (DSP) 55

3.3.1 Sampling and Signal Conversion 55

3.3.2 Z Transform 56

3.3.3 Filters as LTI Systems 57

3.3.4 Digital Filtering 57

3.3.5 Linear Prediction 59

3.3.6 Adaptive Filtering 60

3.4 Hidden Markov Models 61

3.5 Concepts of Intelligent and Learning Systems 62

References 63

4 Electroacoustics and Responses of Audio Systems 65

4.1 Audio System Responses 65

4.1.1 Measurement of System Response 65

4.1.2 Ideal Reproduction of Sound 66

4.1.3 Impulse Response and Magnitude Response 67

4.1.4 Phase Response 68

4.1.5 Non-linear Distortion 69

4.1.6 Signal-to-Noise Ratio 71

4.1.7 Directional Responses of Electroacoustic Devices 71

4.1.8 Directivity Index 72

4.1.9 Power response 72

4.2 Electroacoustics 73

4.2.1 Electrodynamic Loudspeakers 73

4.2.2 MEMS Loudspeakers 76

4.2.3 Other Loudspeaker Types 76

4.2.4 Headphones 77

4.2.5 Pressure and Pressure-gradient Microphones 78

4.2.6 Microphone Directional Patterns 79

4.2.7 Condenser Microphone 81

4.2.8 Dynamic Microphone 81

4.2.9 MEMS Microphones 82

4.2.10 Other Microphone Types 83

4.2.11 Microphone Self-noise and Dynamic Range 83

4.3 Response Equalization 84

References 85

5 Human Voice 87

5.1 Speech Production 87

5.1.1 Speech Production Mechanism 88

5.1.2 Vocal Folds and Phonation 89

5.1.3 Vocal and Nasal Tract and Articulation 90

5.1.4 Voice Directivity 91

5.2 Units and Notation of Speech used in Phonetics 92

5.2.1 Vowels 94

5.2.2 Consonants 95

5.2.3 Prosody and Suprasegmental Features 97

5.3 Modelling of Speech Production 98

5.3.1 Glottal Modelling 100

5.3.2 Vocal Tract Modelling 101

5.3.3 Articulatory Synthesis 103

5.3.4 Formant Synthesis 103

5.4 Singing Voice 104

References 105

6 Acoustic Musical Instruments 107

6.1 Types of Acoustic Musical Instruments 107

6.2 Resonators in Instruments 108

6.3 Sources of Excitation 110

6.4 Controlling the Frequency of Vibration 111

6.5 Combining the Excitation and Resonant Structures 113

6.6 Envelope of Sounds 113

References 114

7 Physiology and Anatomy of Hearing 115

7.1 Global Structure of the Ear 115

7.2 External Ear 116

7.3 Middle Ear 117

7.4 Inner Ear 119

7.4.1 Structure of the Cochlea 119

7.4.2 Passive Cochlear Processing 123

7.4.3 Active Function of the Cochlea 123

7.4.4 Inner Hair Cells 126

7.4.5 Cochlear Non-linearities 127

7.5 Otoacoustic Emissions 128

7.6 Auditory Nerve 129

7.6.1 Information Transmission Using the Firing Rate 130

7.6.2 Phase Locking 130

7.7 Auditory Nervous System 132

7.7.1 Structure of the Auditory Pathway 133

7.7.2 Studying Brain Function 134

References 135

8 The Approach and Methodology of Psychoacoustics 137

8.1 Sound Events Versus Auditory Events 137

8.2 Psychophysical Functions 139

8.3 Generation of Sound Events 139

8.3.1 Synthesis of Sound Signals 139

8.3.2 Listening Setup and Conditions 140

8.4 Selection of Subjects for Listening Tests 141

8.5 What Are We Measuring? 142

8.5.1 Thresholds 142

8.5.2 Signal Detection Theory 143

8.5.3 Scales and Categorization of Percepts 144

8.5.4 Scales in Subjective Tests 145

8.6 Tasks for Subjects 145

8.7 Basic Psychoacoustic Test Methods 146

8.7.1 Method of Constant Stimuli 146

8.7.2 Method of Limits 147

8.7.3 Method of Adjustment 147

8.7.4 Method of Tracking 148

8.7.5 Direct Scaling Methods 148

8.7.6 Adaptive Staircase Methods 148

8.7.7 Adaptive Estimation of Distribution 149

8.8 Descriptive Sensory Analysis 149

8.8.1 Verbal Elicitation 151

8.8.2 Non-verbal Elicitation 152

8.8.3 Indirect Elicitation 152

8.9 Physiological Measurements 153

8.10 Psychoacoustic Tests from the Point of View of Statistics 153

References 154

9 Basic Function of Hearing 157

9.1 Effective Hearing Area 157

9.1.1 Equal Loudness Curves 159

9.1.2 Sound Level and Its Measurement 159

9.2 Spectral Masking 160

9.2.1 Masking by Noise 161

9.2.2 Masking by Pure Tones 163

9.2.3 Masking by Complex Tones 163

9.2.4 Other Masking Phenomena 163

9.3 Temporal Masking 165

9.4 Frequency Selectivity of Hearing 167

9.4.1 Psychoacoustic Tuning Curves 167

9.4.2 Bark Bandwidths 168

9.4.3 ERB Bandwidths 170

9.4.4 Bark, ERB and Greenwood Scales 171

References 172

10 Basic Psychoacoustic Quantities 175

10.1 Pitch 175

10.1.1 Pitch Strength and Frequency Range 175

10.1.2 JND of Pitch 176

10.1.3 Pitch Perception Versus Duration of Sound 176

10.1.4 Mel Scale 177

10.1.5 Logarithmic Pitch Scale and Musical Scale 179

10.1.6 Detection Threshold of Pitch Change and Frequency Modulation 180

10.1.7 Pitch of Coloured Noise 180

10.1.8 Repetition Pitch 181

10.1.9 Virtual Pitch 181

10.1.10 Pitch of Non-harmonic Complex Sounds 182

10.1.11 Pitch Theories 182

10.1.12 Absolute Pitch 182

10.2 Loudness 183

10.2.1 Loudness Determination Experiments 183

10.2.2 Loudness Level 184

10.2.3 Loudness of a Pure Tone 184

10.2.4 Loudness of Broadband Signals 185

10.2.5 Excitation Pattern, Specific Loudness and Loudness 187

10.2.6 Difference Threshold of Loudness 188

10.2.7 Loudness Versus Duration of Sound 190

10.3 Timbre 192

10.3.1 Timbre of Steady-state Sounds 192

10.3.2 Timbre of Sound Including Modulations 192

10.4 Subjective Duration of Sound 193

References 194

11 Further Analysis in Hearing 197

11.1 Sharpness 197

11.2 Detection of Modulation and Sound Onset 199

11.2.1 Fluctuation Strength 199

11.2.2 Impulsiveness 201

11.3 Roughness 201

11.4 Tonality 203

11.5 Discrimination of Changes in Signal Magnitude and Phase Spectra 204

11.5.1 Adaptation to the Magnitude Spectrum 204

11.5.2 Perception of Phase and Time Differences 205

11.5.3 Factors Leading to a Perception of Buzziness 206

11.5.4 Perception of Frequency-dependent Group Delay of Audio Devices 208

11.6 Psychoacoustic Concepts and Music 210

11.6.1 Sensory Consonance and Dissonance 210

11.6.2 Intervals, Scales and Tuning in Music 211

11.6.3 Rhythm, Tempo, Bar and Measure 214

11.7 Perceptual Organization of Sound 215

11.7.1 Segregation of Sound Sources 216

11.7.2 Sound Streaming and Auditory Scene Analysis 217

References 219

12 Spatial Hearing 223

12.1 Concepts and Definitions for Spatial Hearing 223

12.1.1 Basic Concepts 223

12.1.2 Coordinate Systems for Spatial Hearing 224

12.2 Head-related Acoustics 226

12.3 Localization Cues 230

12.3.1 Interaural Time Difference 231

12.3.2 Interaural Level Difference 233

12.3.3 Interaural Coherence 234

12.3.4 Monaural Cues 235

12.3.5 Dynamic Cues 237

12.3.6 Interaction Between Spatial Hearing and Vision 238

12.4 Localization Accuracy 238

12.4.1 Localization in the Horizontal Plane 238

12.4.2 Localization in the Median Plane 240

12.4.3 3D Localization 240

12.4.4 Perception of the Distribution of a Spatially Extended Source 241

12.5 Directional Hearing in Enclosed Spaces 243

12.5.1 Precedence Effect 243

12.5.2 Adaptation to the Room Effect in Localization 244

12.6 Binaural Advantages in Timbre Perception 245

12.6.1 Binaural Detection and Unmasking 245

12.6.2 Binaural Decolouration 246

12.7 Perception of Source Distance 247

12.7.1 Cues for Distance Perception 247

12.7.2 Accuracy of Distance Perception 248

References 249

13 Auditory Modelling 251

13.1 Simple Psychoacoustic Modelling in Time–Frequency Domain 252

13.1.1 Computation of the Auditory Spectrum Through DFT 252

13.1.2 Applications of DFT-based Auditory Models 254

13.2 Time-domain Auditory Models 257

13.2.1 Modelling the Outer and Middle Ear 257

13.2.2 Modelling Frequency Selectivity with Linear Filter Banks 258

13.2.3 Modelling Frequency Selectivity with Non-linear Filter Banks 258

13.2.4 Modelling Frequency Selectivity with Filter Banks with Frequency-channel Coupling 260

13.2.5 Hair-cell Models 260

13.3 Modelling of Higher-level Systemic Properties 262

13.3.1 Envelope Detection and Temporal Dynamics 262

13.3.2 Analysis of Pitch and Periodicity 265

13.3.3 Modelling of Loudness Perception 266

13.4 Models of Spatial Hearing 267

13.4.1 Delay-network-based Models of Binaural Hearing 267

13.4.2 Equalization-cancellation and ILD Models 269

13.4.3 Count-comparison Models 270

13.4.4 Models of Localization in Sagittal Planes 271

13.4.5 General Models of Sound-source Localization 271

13.5 Python Examples 272

13.5.1 Filter-bank Model with Autocorrelation-based Pitch Analysis 272

13.5.2 Binaural Filter-bank Model with Cross-correlation-based ITD Analysis 275

References 278

14 Time–Frequency-domain Processing of Audio 281

14.1 Basic Techniques and Concepts for Time–Frequency Processing 281

14.1.1 Frame-based Processing 281

14.1.2 Downsampled Filter-bank Processing 283

14.1.3 Modulation with Tone Sequences 285

14.1.4 Aliasing 286

14.2 Time–Frequency Transforms 287

14.2.1 Short-time Fourier Transform 288

14.2.2 Alias-free STFT 290

14.2.3 Modified Discrete Cosine Transform 290

14.2.4 Pseudo-quadrature Mirror Filter (PQMF) Bank 291

14.2.5 Complex QMF 292

14.2.6 Sub-sub-band Filtering of the Complex QMF Bands 293

14.2.7 Stochastic Measures of Time–Frequency Signals 295

14.2.8 Decorrelation 296

References 296

15 Machine learning 299

15.1 Training Deep Neural Networks 299

15.2 Neural Network Architectures 301

15.2.1 Multi-layer Perceptrons (MLPs) 301

15.2.2 Convolutional Neural Networks (CNNs) 303

15.2.3 Recurrent Neural Networks (RNNs) 304

15.2.4 Transformers and Attention 304

15.2.5 State-space Models 305

15.3 Feature Representations 305

15.3.1 Time-frequency Representations 306

15.3.2 Spatial Features 307

15.3.3 Deep Embeddings 307

15.4 Loss Functions 308

15.4.1 Spectral Loss Functions 309

15.4.2 Physics-informed Loss Functions 309

15.4.3 Adversarial Loss Functions 310

15.4.4 Contrastive Loss Functions 310

15.5 Generative models 311

15.5.1 Autoregressive Models 311

15.5.2 Variational Autoencoders 312

15.5.3 Diffusion Models 312

15.5.4 Generative Adversarial Networks (GANs) 313

15.6 Implicit Neural Representations 313

References 314

16 Sound Reproduction 319

16.1 Need for Sound Reproduction 319

16.2 Audio Content Production 320

16.3 Measuring and Controlling Programme Loudness 321

16.4 Listening Setups 322

16.4.1 Loudspeaker Setups 322

16.4.2 Listening Room Acoustics 324

16.4.3 Audiovisual Systems 325

16.4.4 Auditory-tactile Systems 326

16.5 Recording Techniques 327

16.5.1 Monophonic Techniques 327

16.5.2 Spot Microphone Technique 328

16.5.3 Coincident Microphone Techniques for Two-channel Stereophony 328

16.5.4 Spaced Microphone Techniques for Two-channel Stereophony 329

16.5.5 Spaced Microphone Techniques for Multi-channel Loudspeaker Systems 330

References 331

17 Spatial Audio 335

17.1 Basic concepts 335

17.2 Amplitude Panning 336

17.2.1 Amplitude Panning in a Stereophonic Setup 336

17.2.2 Amplitude Panning in Horizontal Multi-channel Loudspeaker setups 337

17.2.3 3D Amplitude Panning for Multi-channel Loudspeaker Setups 338

17.2.4 Uniform Spreading of Amplitude-panned Sources 339

17.3 Time Delay Panning 340

17.4 Wave Field Synthesis 340

17.5 Controlling the Distance of Virtual Sources 342

17.6 Spatial Audio Reproduction with Ambisonics 343

17.6.1 Circular and Spherical Harmonic Encoding of Sound Fields 344

17.6.2 Linear Decoding to Loudspeaker Arrays 345

17.6.3 Optimizing Loudspeaker Decoding with Vector-models 347

17.6.4 Microphone Arrays for Ambisonics 349

17.7 Parametric Time–Frequency-domain Reproduction 351

17.7.1 Analysis Principles 351

17.7.2 Synthesis Principles 352

17.7.3 Spatial Sound Recording and Reproduction 353

17.7.4 Directional Audio Coding 354

17.7.5 Auralization of Measured Room Impulse Responses 355

17.8 Spatial Effects and Super-hearing 356

17.9 Binaural Techniques 356

17.9.1 Listening to Binaural Recordings with Headphones 356

17.9.2 HRTF Processing for Headphone Listening 357

17.9.3 Binaural Listening of Virtual Loudspeakers 358

17.9.4 Binaural Listening to Two-channel Stereophonic Content 359

17.9.5 Binaural Techniques with Cross-talk-cancelled Loudspeakers 359

17.9.6 HRTF Individualization 361

17.9.7 HRTF Interpolation Methods 362

17.10 Beamforming 363

References 364

18 Virtual reality 369

18.1 Basic Concepts 369

18.2 Sound in VR 371

18.3 Modelling Sound Propagation Path 373

18.3.1 Source Directivity 373

18.3.2 Direct Sound Path 373

18.3.3 Early Response 374

18.3.4 Late Response 375

18.3.5 Connected Spaces 375

18.3.6 Wave-based Methods 376

18.4 Six-degrees-of-freedom Reproduction 376

18.5 Rendering Audio in VR 377

References 380

19 Sound and Music Computing 383

19.1 Coding of Audio Signals 383

19.1.1 Masking-based Audio Coding 383

19.1.2 Audio Coding with Spectral Band Replication 384

19.1.3 Neural Coding of Audio 385

19.2 Spatial Audio Coding and Up-mixing 386

19.2.1 Parametric Coding of Multichannel Audio 386

19.2.2 Immersive Audio Coding 387

19.2.3 Stereo Upmixing and Enhancement for Loudspeakers and Headphones 388

19.3 Sound Synthesis in Music 390

19.3.1 Synthesis Methods 390

19.3.2 Physical Modelling of Musical Instruments 391

19.3.3 Neural Methods for Musical Sound Synthesis 393

19.4 Differentiable DSP 394

19.5 Procedural Audio Synthesis 395

19.6 Digital Audio Effects 396

19.7 Reverberators 397

19.7.1 DSP Structures for Reverberators 398

19.7.2 Using Room Impulse Responses in Reverberators 399

19.8 Sonic Interaction Design 400

19.9 Computational Auditory Scene Analysis, CASA 401

19.10 Music Information Retrieval 402

19.11 Miscellaneous Applications 404

References 405

20 Speech Technologies 411

20.1 Speech Coding 411

20.1.1 Waveform Coding 412

20.1.2 Vocoders 412

20.1.3 Neural Coding of Speech 415

20.2 Text-to-Speech Synthesis 415

20.2.1 Early Knowledge-based Text-to-speech (TTS) Synthesis 416

20.2.2 Unit-selection Synthesis 417

20.2.3 Statistical Parametric Synthesis 419

20.2.4 Neural Text-to-speech Synthesis with Acoustic Representations 421

20.2.5 Neural Vocoders for Speech Synthesis 422

20.2.6 End-to-end Neural Text-to-speech Synthesis 423

20.3 Speech Recognition 424

References 426

21 Sound Quality 431

21.1 Historical Background of Sound Quality 432

21.2 The Many Facets of Sound Quality 433

21.3 Immersion 434

21.4 Systemic Framework for Sound Quality 435

21.5 Subjective Sound Quality Measurement 436

21.5.1 Mean Opinion Score 436

21.5.2 MUSHRA 437

21.6 Audio Quality 438

21.7 Monaural Quality 439

21.7.1 Signal-to-Interference and Signal-to-artefacts Ratios 439

21.7.2 Measures and Models for Monaural Audio Quality 440

21.8 Spatial Audio Quality 443

21.8.1 Subjective Directional Quality 443

21.8.2 Externalization and Distance Perception 444

21.8.3 Subjective Binaural Colouration 445

21.8.4 Instrumental Evaluation of Spatial Audio 446

21.9 Audio Quality in Virtual and Augmented Reality 446

21.10 Quality of Speech Communication 447

21.10.1 Subjective Methods and Measures 448

21.10.2 Objective Methods and Measures 449

21.11 Measuring Speech Understandability with the Modulation Transfer

Function 450

21.11.1 Modulation Transfer Function 450

21.11.2 Speech Transmission Index STI 454

21.11.3 STI and Speech Intelligibility 454

21.11.4 Practical Measurement of STI 455

21.12 Objective Speech Quality Measurement for Telecommunication 456

21.12.1 General Speech Quality Measurement Techniques 457

21.12.2 Measurement of the Perceptual Effect of Background Noise 459

21.12.3 Measurement of the Perceptual Effect of Echoes 459

21.13 Sound Quality in Auditoria and Concert Halls 460

21.13.1 Subjective Measures 461

21.13.2 Objective Measures 462

21.13.3 Percentage of Consonant Loss 464

21.14 Noise Quality 464

21.15 Product Sound Quality 465

References 466

22 Technical Audiology 471

22.1 Hearing Impairments and Disabilities 471

22.1.1 Key Terminology 472

22.1.2 Classification of Hearing Impairments 473

22.1.3 Causes of Hearing Impairments 474

22.2 Symptoms and Consequences of Hearing Impairments 474

22.2.1 Hearing Threshold Shift 474

22.2.2 Distortion and Decrease in Discrimination 476

22.2.3 Speech Communication Problems 477

22.2.4 Tinnitus 478

22.3 The Effect of Noise on Hearing 478

22.3.1 Noise 479

22.3.2 Formation of Noise-Induced Hearing Loss 480

22.3.3 Temporary Threshold Shift 480

22.3.4 Hearing Protection 480

22.4 Audiometry 483

22.4.1 Pure-tone Audiometry 483

22.4.2 Bone-conduction Audiometry 484

22.4.3 Speech Audiometry 484

22.4.4 Sound-field Audiometry 485

22.4.5 Tympanometry 485

22.4.6 Otoacoustic Emissions 486

22.4.7 Neural Responses 486

22.5 Hearing Aids 487

22.5.1 Types of Hearing Aids 487

22.5.2 Signal Processing in Hearing Aids 488

22.5.2.1 Gain Control 489

22.5.2.2 Directional Microphone Systems 490

22.5.2.3 Other Signal Processing Features 491

22.5.3 Transmission Systems and Assistive Listening Devices 492

22.6 Implantable Hearing Solutions 492

22.6.1 Cochlear Implants 492

22.6.2 Electric-acoustic Stimulation 495

22.6.3 Bone-anchored Hearing Aids 495

22.6.4 Middle-ear Implants 495

References 496

Index 499


Ville Pulkki is a Professor of Acoustics in the Acoustics Lab, Department of Information and Communications Engineering at Aalto University. He was awarded the AES Silver Medal in 2017 for exceptional contributions in spatial audio techniques. He’s a Fellow of the Audio Engineering Society.

Matti Karjalainen†, was Head of the Laboratory of Acoustics and Audio Signal Processing at Helsinki University of Technology. He received the AES Silver Medal in 2006 and IEEE Fellowship in 2009.



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