Perception and Synthesis of Sound-Generating Materials

The auditory perception of materials is a popular topic in the study of non-vocal sound-source perception. In this chapter, we review the empirical evidence on the mechanical and acoustical correlates of the perception of impacted stiff materials, and of the state of matter of sound-generating substances (solids, liquids, gases). As a whole, these studies suggest that recognition abilities are only highly accurate when differentiating between widely diverse materials (e.g. liquids vs. solids or plastics vs. metals) and that limitations in the auditory system, along with the possible internalization of biased statistics in the acoustical environment (e.g. clinking-glass sounds tend to be produced by small objects), might account for the less-than-perfect ability to differentiate between mechanically similar materials. This review is complemented by a summary of studies concerning the perception of deformable materials (fabrics and liquids) and the perceptual and motor-behaviour effects of auditory material-related information in audio-haptic contexts. The results of perceptual studies are the starting point for the development of interactive sound synthesis techniques for rendering the main auditory correlates of material properties, starting from physical models of the involved mechanical interactions. We review the recent literature dealing with contact sound synthesis in such fields as sonic interaction design and virtual reality. Special emphasis is given to softness/hardness correlates in impact sounds, associated with solid object resonances excited through impulsive contact. Synthesis methods for less studied sound-generating systems such as deformable objects (e.g. fabrics and liquids) and aggregate materials are also described.

[1]  Davide Rocchesso,et al.  Explorations in Sonic Interaction Design , 2011 .

[2]  D. Yuh,et al.  Effect of sensory substitution on suture-manipulation forces for robotic surgical systems. , 2005, The Journal of thoracic and cardiovascular surgery.

[3]  R. Voss,et al.  ‘1/fnoise’ in music and speech , 1975, Nature.

[4]  Richard Kronland-Martinet,et al.  Sound Categorization and Conceptual Priming for Nonlinguistic and Linguistic Sounds , 2010, Journal of Cognitive Neuroscience.

[5]  Vincent Hayward,et al.  A tactile enhancement instrument for minimally invasive surgery , 2005, Computer aided surgery : official journal of the International Society for Computer Aided Surgery.

[6]  M. Grassi Do we hear size or sound? Balls dropped on plates , 2005, Perception & psychophysics.

[7]  A. de Cheveigné,et al.  The dependency of timbre on fundamental frequency. , 2003, The Journal of the Acoustical Society of America.

[8]  K. H. Hunt,et al.  Coefficient of Restitution Interpreted as Damping in Vibroimpact , 1975 .

[9]  Stephen McAdams,et al.  The representation of auditory source characteristics: Simple geometric form , 1997 .

[10]  Luca Turchet,et al.  Sound synthesis and evaluation of interactive footsteps for virtual reality applications , 2010, 2010 IEEE Virtual Reality Conference (VR).

[11]  Davide Rocchesso,et al.  The Sounding Object , 2002 .

[12]  Dinesh Manocha,et al.  Sounding liquids: Automatic sound synthesis from fluid simulation , 2010, TOGS.

[13]  Sethna,et al.  Acoustic emission from crumpling paper. , 1996, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[14]  Ming C. Lin,et al.  Example-guided physically based modal sound synthesis , 2013, ACM Trans. Graph..

[15]  Doug L. James,et al.  Harmonic fluids , 2009, SIGGRAPH 2009.

[16]  George Drettakis,et al.  Bimodal perception of audio-visual material properties for virtual environments , 2010, TAP.

[17]  Richard Kronland-Martinet,et al.  Controlling the Perceived Material in an Impact Sound Synthesizer , 2011, IEEE Transactions on Audio, Speech, and Language Processing.

[18]  G. Lemaitre,et al.  Evidence for a basic level in a taxonomy of everyday action sounds , 2013, Experimental Brain Research.

[19]  Bert De Coensel,et al.  Effects of natural sounds on the perception of road traffic noise. , 2011, The Journal of the Acoustical Society of America.

[20]  Kenneth M. Steele,et al.  Is the bandwidth for timbre invariance only one octave , 2006 .

[21]  J. Ballas Common factors in the identification of an assortment of brief everyday sounds , 1993 .

[22]  Stephen McAdams,et al.  Hearing living symbols and nonliving icons: Category specificities in the cognitive processing of environmental sounds , 2010, Brain and Cognition.

[23]  Davide Rocchesso,et al.  Numerical Methods for a Nonlinear Impact Model: A Comparative Study With Closed-Form Corrections , 2011, IEEE Transactions on Audio, Speech, and Language Processing.

[24]  S. McAdams,et al.  The psychomechanics of simulated sound sources: material properties of impacted bars. , 2004, The Journal of the Acoustical Society of America.

[25]  Vincent Hayward,et al.  Identification of walked-upon materials in auditory, kinesthetic, haptic, and audio-haptic conditions. , 2012, The Journal of the Acoustical Society of America.

[26]  Ming C. Lin,et al.  Auditory Perception of Geometry-Invariant Material Properties , 2013, IEEE Transactions on Visualization and Computer Graphics.

[27]  Susan J. Lederman,et al.  Multisensory Texture Perception , 2010 .

[28]  Frank Steinicke,et al.  Human Walking in Virtual Environments: Perception, Technology, and Applications , 2013 .

[29]  Doug L. James,et al.  Precomputed acceleration noise for improved rigid-body sound , 2012, ACM Trans. Graph..

[30]  Jean-Marie Adrien,et al.  The missing link: modal synthesis , 1991 .

[31]  Davide Rocchesso,et al.  A toolkit for explorations in sonic interaction design , 2010, Audio Mostly Conference.

[32]  Davide Rocchesso,et al.  Controlling Material Properties in Physical Models of Sounding Objects , 2001, ICMC.

[33]  Dinesh K. Pai,et al.  The Sounds of Physical Shapes , 1998, Presence.

[34]  Stephen McAdams,et al.  Multisensory integration in percussion performance , 2010 .

[35]  Ching-Ju Liu,et al.  Individual differences in source identification from synthesized impact sounds. , 2006, The Journal of the Acoustical Society of America.

[36]  David Bordwell,et al.  Moving Image Theory: Ecological Considerations , 2005 .

[37]  Dinesh K. Pai,et al.  FoleyAutomatic: physically-based sound effects for interactive simulation and animation , 2001, SIGGRAPH.

[38]  R A Lutfi,et al.  Auditory detection of hollowness. , 2001, The Journal of the Acoustical Society of America.

[39]  Robert A Lutfi,et al.  Sensory constraints on auditory identification of the material and geometric properties of struck bars. , 2010, The Journal of the Acoustical Society of America.

[40]  Davide Rocchesso,et al.  Size, shape, and material properties of sound models , 2003 .

[41]  Carlo Drioli,et al.  Acoustic rendering of particle-based simulation of liquids in motion , 2012, Journal on Multimodal User Interfaces.

[42]  Davide Rocchesso,et al.  Sonic Interaction Design , 2013, Int. J. Hum. Comput. Stud..

[43]  P. Flores Kinematics and Dynamics of Multibody Systems with Imperfect Joints: Models and Case Studies , 2008 .

[44]  Judit Gervain,et al.  Auditory Perception of Self-Similarity in Water Sounds , 2011, Front. Integr. Neurosci..

[45]  川端 季雄,et al.  The standardization and analysis of hand evaluation. , 1975 .

[46]  George Drettakis,et al.  Advances in Modal Analysis Using a Robust and Multiscale Method , 2010, EURASIP J. Adv. Signal Process..

[47]  Dinesh K. Pai,et al.  Modal Synthesis for Vibrating Objects , 2007 .

[48]  E. DeYoe,et al.  Distinct Cortical Pathways for Processing Tool versus Animal Sounds , 2005, The Journal of Neuroscience.

[49]  Kees van den Doel,et al.  Physically based models for liquid sounds , 2005, TAP.

[50]  D. Matignon,et al.  Numerical simulations of xylophones. II. Time-domain modeling of the resonator and of the radiated sound pressure , 1998 .

[51]  William W. Gaver What in the World Do We Hear? An Ecological Approach to Auditory Event Perception , 1993 .

[52]  Stefan Bilbao Numerical Sound Synthesis: Finite Difference Schemes and Simulation in Musical Acoustics , 2009 .

[53]  Stephen Handel,et al.  A Rule of Thumb: The Bandwidth for Timbre Invariance Is One Octave , 2001 .

[54]  Federico Avanzini,et al.  Integrating physically based sound models in a multimodal rendering architecture , 2006, Comput. Animat. Virtual Worlds.

[55]  Doug L. James,et al.  Toward high-quality modal contact sound , 2011, SIGGRAPH 2011.

[56]  Steve Marschner,et al.  Motion-driven concatenative synthesis of cloth sounds , 2012, ACM Trans. Graph..

[57]  A Chaigne,et al.  Time-domain simulation of damped impacted plates. II. Numerical model and results. , 2001, The Journal of the Acoustical Society of America.

[58]  M. Ernst,et al.  Humans integrate visual and haptic information in a statistically optimal fashion , 2002, Nature.

[59]  Paul Graham,et al.  Large Scale Physical Modeling Sound Synthesis , 2013 .

[60]  Naga K. Govindaraju,et al.  Sound synthesis for impact sounds in video games , 2011, SI3D.

[61]  Davide Rocchesso,et al.  Low-level sound models: resonators, interactions, surface textures , 2003 .

[62]  D. Freed,et al.  Auditory correlates of perceived mallet hardness for a set of recorded percussive sound events. , 1990, The Journal of the Acoustical Society of America.

[63]  Peter Baranyi,et al.  An interaction-based model for auditory substitution of tactile percepts , 2010, 2010 IEEE 14th International Conference on Intelligent Engineering Systems.

[64]  Giovanni De Poli,et al.  Representations of musical signals , 1991 .

[65]  Leo Poom,et al.  Liquid-Specific Stimulus Properties Can Be Used for Haptic Perception of the Amount of Liquid in a Vessel Put in Motion , 2006, Perception.

[66]  W H Warren,et al.  Auditory perception of breaking and bouncing events: a case study in ecological acoustics. , 1984, Journal of experimental psychology. Human perception and performance.

[67]  Michael Cohen,et al.  Proceedings of the 2002 ACM SIGGRAPH/Eurographics Symposium on Computer Animation, San Antonio, TX, USA, July 21-22, 2002 , 2002, Symposium on Computer Animation.

[68]  D. Norman,et al.  Everyday listening and auditory icons , 1988 .

[69]  George Drettakis,et al.  Fast modal sounds with scalable frequency-domain synthesis , 2008, SIGGRAPH 2008.

[70]  Davide Rocchesso,et al.  Integration of acoustical information in the perception of impacted sound sources: the role of information accuracy and exploitability. , 2010, Journal of experimental psychology. Human perception and performance.

[71]  R. Lutfi Human Sound Source Identification , 2008 .

[72]  Dimitris N. Metaxas,et al.  Feel the "fabric": an audio-haptic interface , 2003, SCA '03.

[73]  Guillaume Lemaitre,et al.  A lexical analysis of environmental sound categories. , 2012, Journal of experimental psychology. Applied.

[74]  Charles S. Watson,et al.  The perceptual dimensionality of environmental sounds , 2003 .

[75]  Federico Fontana,et al.  Physics-based sound synthesis and control: crushing, walking and running by crumpling sounds , 2003 .

[76]  M. Karjalainen,et al.  Discrete-time modelling of musical instruments , 2005 .

[77]  Maud Marchal,et al.  Vibrotactile Rendering of Splashing Fluids , 2013, IEEE Transactions on Haptics.

[78]  Stephen McAdams,et al.  Comparison of Methods for Collecting and Modeling Dissimilarity Data: Applications to Complex Sound Stimuli , 2011, Multivariate behavioral research.

[79]  Luca Turchet,et al.  Semantic congruence in audio–haptic simulation of footsteps , 2014 .

[80]  G. Civille,et al.  DEVELOPMENT OF TERMINOLOGY TO DESCRIBE THE HANDFEEL PROPERTIES OF PAPER AND FABRICS , 1990 .

[81]  Bruno L. Giordano,et al.  Material identification of real impact sounds: effects of size variation in steel, glass, wood, and plexiglass plates. , 2006, The Journal of the Acoustical Society of America.

[82]  F. Gregory Ashby,et al.  Multidimensional Models of Perception and Cognition , 2014 .

[83]  Jonathan S. Cant,et al.  Crinkling and crumpling: An auditory fMRI study of material properties , 2008, NeuroImage.

[84]  Bruno L. Giordano,et al.  When Ears Drive Hands: The Influence of Contact Sound on Reaching to Grasp , 2010, PloS one.

[85]  P. Groenen,et al.  Modern multidimensional scaling , 1996 .

[86]  Julius O. Smith,et al.  Virtual Acoustic Musical Instruments: Review and Update , 2004 .

[87]  John G. Casali,et al.  Effect of fabric sound and touch on human subjective sensation , 2001 .

[88]  Anatole Lécuyer,et al.  Using an event-based approach to improve the multimodal rendering of 6DOF virtual contact , 2007, VRST '07.

[89]  M. Minnaert XVI.On musical air-bubbles and the sounds of running water , 1933 .

[90]  Maarten van Walstijn,et al.  An Energy Conserving Finite Difference Scheme for Simulation of Collisions , 2013 .

[91]  Ming C. Lin,et al.  Physically Based Sound Synthesis for Large-Scale Virtual Environments , 2007, IEEE Computer Graphics and Applications.

[92]  Guillaume Lemaitre,et al.  Auditory perception of material is fragile while action is strikingly robust. , 2012, The Journal of the Acoustical Society of America.

[93]  Dinesh K. Pai,et al.  Perception of Material from Contact Sounds , 2000, Presence: Teleoperators & Virtual Environments.

[94]  Olivier Houix Catégorisation auditive des sources sonores , 2002 .

[95]  Carlos Velasco,et al.  The Sound of Temperature: What Information do Pouring Sounds Convey Concerning the Temperature of a Beverage , 2013 .

[96]  S. Schwerman,et al.  The Physics of Musical Instruments , 1991 .

[97]  Stefania Serafin,et al.  Sound design and perception in walking interactions , 2009, Int. J. Hum. Comput. Stud..

[98]  J. Monaghan Smoothed particle hydrodynamics , 2005 .

[99]  Brian Gygi,et al.  Similarity and categorization of environmental sounds , 2007, Perception & psychophysics.

[100]  R. Lutfi,et al.  Auditory discrimination of material changes in a struck-clamped bar. , 1997, The Journal of the Acoustical Society of America.

[101]  Federico Avanzini,et al.  Haptic-Auditory Rendering and Perception of Contact Stiffness , 2006, HAID.

[102]  Hagai Attias,et al.  Temporal Low-Order Statistics of Natural Sounds , 1996, NIPS.

[103]  Maud Marchal,et al.  Multimodal Rendering of Walking Over Virtual Grounds , 2013 .

[104]  Davide Rocchesso,et al.  Physical Modeling of Impacts: Theory and Experiments on Contact Time and Spectral Centroid , 2004 .

[105]  P A Cabe,et al.  Human sensitivity to acoustic information from vessel filling. , 2000, Journal of experimental psychology. Human perception and performance.

[106]  Jin Yong Jeon,et al.  Acoustical characteristics of water sounds for soundscape enhancement in urban open spaces. , 2012, The Journal of the Acoustical Society of America.

[107]  Gilsoo Cho,et al.  Physiological signal analyses of frictional sound by structural parameters of warp knitted fabrics , 2005 .

[108]  Chen Shen,et al.  Synthesizing sounds from rigid-body simulations , 2002, SCA '02.

[109]  R. Zatorre,et al.  Voice-selective areas in human auditory cortex , 2000, Nature.

[110]  Richard Kronland-Martinet,et al.  Categorization and timbre perception of environmental sounds in schizophrenia , 2011, Psychiatry Research.

[111]  S. Lederman Auditory Texture Perception , 1979, Perception.

[112]  Bruno L. Giordano Material categorization and hardness scaling in real and synthetic impact sounds , 2003 .

[113]  Luca Turchet,et al.  Walking pace affected by interactive sounds simulating stepping on different terrains , 2013, ACM Trans. Appl. Percept..

[114]  J. Gibson The Ecological Approach to Visual Perception , 1979 .

[115]  Guy J. Brown,et al.  Modelling the Auditory Perception of Size, Shape and Material: Applications to the Classification of Transient Sonar Sounds , 2003 .