T. Porcello, Speaking of Sound, Social Studies of Science, vol.29, issue.1, pp.733-758, 2004.
DOI : 10.1177/0306312704047328

P. Wright, Linguistic description of auditory signals., Journal of Applied Psychology, vol.55, issue.3, pp.244-250, 1971.
DOI : 10.1037/h0031025

O. Houix, G. Lemaitre, N. Misdariis, P. Susini, and I. Urdapilleta, A lexical analysis of environmental sound categories., Journal of Experimental Psychology: Applied, vol.18, issue.1, pp.52-80, 2012.
DOI : 10.1037/a0026240
URL : https://hal.archives-ouvertes.fr/hal-00714662

G. Lemaitre, P. Susini, D. Rocchesso, C. Lambourg, P. Boussard et al., Non-Verbal Imitations as a Sketching Tool for Sound Design, Sound, Music, and Motion. Lecture Notes in Computer Sciences, pp.558-574, 2014.
DOI : 10.1007/978-3-319-12976-1_34
URL : https://hal.archives-ouvertes.fr/hal-01107182

G. Lemaitre, A. Dessein, P. Susini, and K. Aura, Vocal Imitations and the Identification of Sound Events, Ecological Psychology, vol.33, issue.4, pp.267-307, 2011.
DOI : 10.1037/h0031025
URL : https://hal.archives-ouvertes.fr/hal-00717963

G. Lemaitre and D. Rocchesso, On the effectiveness of vocal imitations and verbal descriptions of sounds, The Journal of the Acoustical Society of America, vol.135, issue.2, pp.862-873, 2014.
DOI : 10.1121/1.4861245
URL : https://hal.archives-ouvertes.fr/hal-01107168

G. Lemaitre, A. Jabbari, N. Misdariis, O. Houix, and P. Susini, Vocal imitations of basic auditory features, The Journal of the Acoustical Society of America, vol.139, issue.1, pp.290-300, 2016.
DOI : 10.1121/1.4939738
URL : https://hal.archives-ouvertes.fr/hal-01256126

C. Heyes, Causes and consequences of imitation, Trends in Cognitive Sciences, vol.5, issue.6, pp.253-261, 2001.
DOI : 10.1016/S1364-6613(00)01661-2

T. Zentall, Imitation by Animals How do they do it? Current Directions in Psychological Science, pp.91-95, 2003.
DOI : 10.1111/1467-8721.01237

E. Mercado, . Iii, J. Mantell, and P. Pfordresher, Imitating Sounds: A Cognitive Approach to Understanding Vocal Imitation, Comparative Cognition & Behavior Reviews, vol.9
DOI : 10.3819/ccbr.2014.90002

P. Kuhl and A. Meltzoff, Infant vocalizations in response to speech: Vocal imitation and developmental change, The Journal of the Acoustical Society of America, vol.100, issue.4, pp.2425-2438, 1996.
DOI : 10.1121/1.417951
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3651031

H. Yoshida, A Cross-Linguistic Study of Sound Symbolism in Children's Verb Learning, Journal of Cognition and Development, vol.2, issue.1, pp.232-265, 2012.
DOI : 10.2466/pms.1967.24.1.54

M. Corballis, From hand to mouth: the origins of language, 2002.

M. Larsson, Tool-use-associated sound in the evolution of language, Animal Cognition, vol.70, issue.1, pp.993-1005, 2015.
DOI : 10.1007/s10071-015-0885-x

W. Ma and W. Thompson, Human emotions track changes in the acoustic environment, Proceedings of the National Academy of Sciences, vol.112, issue.47, pp.14563-14568, 2015.
DOI : 10.1073/pnas.1515087112

M. Perlman, R. Dale, and G. Lupyan, Iconicity can ground the creation of vocal symbols, Royal Society Open Science, vol.4, issue.8, p.26361547, 2015.
DOI : 10.1177/0956797612457374

R. Rhodes, L. Hinton, J. Nichols, and J. Ohala, Aural images, Sound Symbolism, pp.276-291, 1994.
DOI : 10.1017/CBO9780511751806.019

M. Takada, K. Tanaka, S. Iwamiya, K. Kawahara, A. Takanashi et al., Onomatopeic Features of Sounds Emitted from Laser Printers and Copy Machines and Their Contributions to Product Image, Proceedings of the International Conference on Acoustics, pp.3-16, 2001.

M. Lesaffre, D. Moelants, and M. Leman, Spontaneous user behavior in " vocal " queries for music information retrieval In: Hewlett WB, Selfridge-Field E, editors. music query methods models and user studies (Computing in musicology 13), pp.129-146, 2004.

S. Sundaram and S. Narayanan, Classification of sound clips by two schemes: Using onomatopoeia and semantic labels, 2008 IEEE International Conference on Multimedia and Expo, pp.1341-1344, 2008.
DOI : 10.1109/ICME.2008.4607691

O. Gillet and G. Richard, Drum Loops Retrieval from Spoken Queries, Journal of Intelligent Information Systems, vol.103, issue.1, pp.160-177, 2005.
DOI : 10.1007/s10844-005-0321-9
URL : https://hal.archives-ouvertes.fr/hal-00477665

P. Esling and C. Agon, Multiobjective Time Series Matching for Audio Classification and Retrieval, IEEE Transactions on Audio, Speech, and Language Processing, vol.21, issue.10, pp.2057-2072, 2013.
DOI : 10.1109/TASL.2013.2265086

D. Rocchesso, G. Lemaitre, P. Susini, S. Ternström, and P. Boussard, Sketching sound with voice and gesture, interactions, vol.22, issue.1, pp.38-41, 2015.
DOI : 10.1145/2685501
URL : https://hal.archives-ouvertes.fr/hal-01260448

D. Piccolo, A. Rocchesso, and D. , Non-speech voice for sonic interaction: a catalogue, Journal on Multimodal User Interfaces, vol.49, issue.8, pp.1-17, 2016.
DOI : 10.5121/ijma.2012.4606
URL : http://doi.org/10.1007/s12193-016-0227-6

N. Misdariis, A. Cera, E. Levallois, and C. Locqueteau, Do electric cars have to make noise? An emblematic opportunity for designing sounds and soundscapes, Proceedings of the 11 th Congrès Français d'Acoustique and the 2012 Annual IOA Meeting, pp.1045-1050, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00810920

P. Ward, J. Sanders, R. Goldman, and M. G. Diplophonia, The Annals of otology, rhinology, and laryngology, pp.771-777, 1969.

F. Klingholz, Overtone singing: Productive mechanisms and acoustic data, Journal of Voice, vol.7, issue.2, pp.118-122, 1993.
DOI : 10.1016/S0892-1997(05)80340-6

C. Suied, A. Drémeau, D. Pressnitzer, L. Daudet, M. Aramaki et al., Auditory Sketches: Sparse Representations of Sounds Based on Perceptual Models, From Sounds to Music and Emotions, 9 th International Symposium, CMMR 2012, pp.154-170, 2012.
DOI : 10.1007/978-3-642-41248-6_9

G. Lemaitre, O. Houix, N. Misdariis, and P. Susini, Listener expertise and sound identification influence the categorization of environmental sounds., Journal of Experimental Psychology: Applied, vol.16, issue.1, pp.16-32, 2010.
DOI : 10.1037/a0018762
URL : https://hal.archives-ouvertes.fr/hal-01106578

G. Lemaitre and L. Heller, Evidence for a basic level in a taxonomy of everyday action sounds, Experimental Brain Research, vol.10, issue.5, pp.253-264, 2013.
DOI : 10.1007/s00221-013-3430-7

E. Parizet, J. Brocard, and B. Piquet, Influence of noise and vibration to comfort in diesel engine cars running at idle. Acta Acustica united with Acustica, pp.987-993, 2004.
URL : https://hal.archives-ouvertes.fr/hal-00849428

E. Parizet, E. Guyader, and V. Nosulenko, Analysis of car door closing sound quality Applied acoustics, pp.12-22, 2008.
DOI : 10.1016/j.apacoust.2006.09.004
URL : https://hal.archives-ouvertes.fr/hal-00849046/document

G. Lemaitre, C. Vartanian, C. Lambourg, and P. Boussard, A psychoacoustical study of wind buffeting noise, Applied Acoustics, vol.95, pp.1-12, 2015.
DOI : 10.1016/j.apacoust.2015.02.011
URL : https://hal.archives-ouvertes.fr/hal-01448921

J. Ih, D. Lim, S. Shin, and Y. Park, Experimental design and assessment of product sound quality: application to a vacuum cleaner, Noise Control Engineering Journal, vol.51, issue.4, pp.244-252, 2003.
DOI : 10.3397/1.2839720

J. Jeon, J. You, and H. Chang, Sound radiation and sound quality characteristics of refrigerator noise in real living environments Applied acoustics, pp.1118-1134, 2007.

P. Leite, R. Paul, S. Gerges, and S. , A sound quality-based investigation of the HVAC system noise of an automobile model, Applied Acoustics, vol.70, issue.4, pp.636-645, 2009.
DOI : 10.1016/j.apacoust.2008.06.010

N. Stanton and J. Edworthy, Human Factors in Auditory Warnings, 1999.

G. Lemaitre, P. Susini, S. Winsberg, B. Letinturier, and S. Mcadams, The Sound Quality of Car Horns: Designing New Representative Sounds, Acta Acustica united with Acustica, vol.95, issue.2, pp.356-372, 2009.
DOI : 10.3813/AAA.918158

C. Suied, P. Susini, and S. Mcadams, Evaluating warning sound urgency with reaction times., Journal of Experimental Psychology: Applied, vol.14, issue.3, pp.201-212, 2008.
DOI : 10.1037/1076-898X.14.3.201
URL : https://hal.archives-ouvertes.fr/hal-01106382

G. Lemaitre and L. Heller, Auditory perception of material is fragile while action is strikingly robust, The Journal of the Acoustical Society of America, vol.131, issue.2, pp.1337-1348, 2012.
DOI : 10.1121/1.3675946

G. Peeters and E. Deruty, Sound Indexing Using Morphological Description, IEEE Transactions on Audio, Speech, and Language Processing, vol.18, issue.3, pp.675-687, 2009.
DOI : 10.1109/TASL.2009.2038809
URL : https://hal.archives-ouvertes.fr/hal-01106507

P. Helgason, Sound initiation and source types in human imitations of sounds, Proceedings of FONE- TIK 2014, pp.83-88, 2014.

M. Cartwright and B. Pardo, VocalSketch, Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, CHI '15, pp.43-46, 2015.
DOI : 10.1145/2702123.2702387

T. Chi, P. Ru, and S. Shamma, Multiresolution spectrotemporal analysis of complex sounds, The Journal of the Acoustical Society of America, vol.118, issue.2, pp.887-906, 2005.
DOI : 10.1121/1.1945807
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.132.7056

X. Yang, K. Wang, and S. Shamma, Auditory representations of acoustic signals, IEEE Transactions on Information Theory, vol.38, issue.2, pp.824-839, 1992.
DOI : 10.1109/18.119739

D. Schwarz and X. Rodet, Spectral envelope estimation and representation for sound analysis-synthesis International Computer Music Association, Proceedings of the International Computer Music Conference (ICMC), pp.351-354, 1999.

A. Roebel, On sinusoidal modeling of nonstationary signals, The Journal of the Acoustical Society of America, vol.123, issue.5, pp.3803-3803, 2008.
DOI : 10.1121/1.2935499
URL : https://hal.archives-ouvertes.fr/hal-01106761

N. Macmillan and C. Creelman, Detection theory. A user's guide, 2005.

H. Stanislaw and N. Todorov, Calculation of signal detection theory measures Behavior research methods, instruments, & computers, pp.137-149, 1999.
DOI : 10.3758/bf03207704

T. Agus, C. Suied, S. Thorpe, and D. Pressnitzer, Fast recognition of musical sounds based on timbre, The Journal of the Acoustical Society of America, vol.131, issue.5, pp.4124-4133, 2012.
DOI : 10.1121/1.3701865
URL : https://hal.archives-ouvertes.fr/hal-00706659

V. Isnard, M. Taffou, I. Viaud-delmon, and C. Suied, Auditory sketches: very sparse representations of signals are still recognizable, PLOS One, vol.11, issue.3, p.26950589, 2016.

B. Moore, Temporal integration and context effects in hearing, Journal of Phonetics, vol.31, issue.3-4, pp.563-574, 2003.
DOI : 10.1016/S0095-4470(03)00011-1

A. De-götzen, N. Bernardini, and D. Arfib, Traditional (?) implementations of a phase-vocoder: The tricks of the trade, Proceedings of the COST G-6 Conference on Digital Audio Effects, 2000.

E. Marchetto and G. Peeters, A set of audio features for the morphological description of vocal imitations, Proceedings of the 18th International Conference on Digital Audio Effects (DAFX-2015, pp.207-214, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01253651

A. Camacho and J. Harris, A sawtooth waveform inspired pitch estimator for speech and music, The Journal of the Acoustical Society of America, vol.124, issue.3, pp.1638-1652, 2008.
DOI : 10.1121/1.2951592
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.324.4466

G. Peeters, B. Giordano, P. Susini, N. Misdariis, and S. Mcadams, The Timbre Toolbox: Extracting audio descriptors from musical signals, The Journal of the Acoustical Society of America, vol.130, issue.5, p.22087919, 2011.
DOI : 10.1121/1.3642604

S. Hutchins, C. Roquet, and I. Peretz, The vocal generosity effect: How bad can your singing be? Music Perception, pp.147-159, 2012.
DOI : 10.1525/mp.2012.30.2.147

S. Delle-monache, D. Rocchesso, S. Baldan, and D. Mauro, Growing the practice of vocal sketching, Proceedings of the 21 st International Conference on Auditory Display (ICAD-2015): Institute of Electronic Music and Acoustics (IEM), University of Music and Performing Arts Graz (KUG); 2015. p, pp.58-64

S. Mcadams, Recognition of auditory sound sources and events Thinking in sound: the cognitive psychology of human audition, pp.146-198, 1993.

M. Eysenck and M. Keane, Cognitive psychology: A student's handbook, 2000.

O. Houix, D. Monache, S. Lachambre, H. Lemaitre, G. Rocchesso et al., Innovative Tools for Sound Sketching Combining Vocalizations and Gestures, Proceedings of the Audio Mostly 2016 on , AM '16, 2016.
DOI : 10.1145/2986416.2986442

M. Brass and C. Heyes, Imitation: is cognitive neuroscience solving the correspondence problem? TRENDS in cognitive sciences, pp.489-495, 2005.

P. Pfordresher and J. Mantell, Singing with yourself: Evidence for an inverse modeling account of poor-pitch singing, Cognitive Psychology, vol.70, pp.31-57, 2014.
DOI : 10.1016/j.cogpsych.2013.12.005

J. Mantell and P. Pfordresher, Vocal imitation of song and speech, Cognition, vol.127, issue.2, pp.177-202, 2013.
DOI : 10.1016/j.cognition.2012.12.008

S. Mcadams, S. Winsberg, S. Donnadieu, G. Soete, and J. Krimphoff, Perceptual scaling of synthesized musical timbres: Common dimensions, specificities, and latent subject classes, Psychological Research, vol.72, issue.2, pp.177-192, 1995.
DOI : 10.1007/BF00419633
URL : https://hal.archives-ouvertes.fr/hal-00828647

A. Caclin, E. Brattico, M. Tervaniemi, R. Näätänen, D. Morlet et al., Separate Neural Processing of Timbre Dimensions in Auditory Sensory Memory, Journal of Cognitive Neuroscience, vol.30, issue.12, pp.1959-1972, 2006.
DOI : 10.1016/S0304-3940(01)02135-8

N. Misdariis, A. Minard, P. Susini, G. Lemaitre, S. Mcadams et al., Environmental sound perception: meta-description and modeling based on independent primary studies, Eurasip Journal on Speech, Audio and Music Processing, 2010.
DOI : 10.1186/1687-4722-2010-362013
URL : http://doi.org/10.1186/1687-4722-2010-362013

J. Aucouturier, E. Bigand, and A. Ova, The Difficult Dialog Between MIR and Music Cognition, Proceedings of the International Conference on Music Information Retrieval (ISMIR). Porto, pp.397-402

F. Pachet and P. Roy, Analytical Features: A Knowledge-Based Approach to Audio Feature Generation, EURASIP Journal on Audio, Speech, and Music Processing, vol.147, issue.11, p.153017, 2009.
DOI : 10.1007/s00500-004-0388-1
URL : http://doi.org/10.1155/2009/153017

K. Patil, D. Pressnitzer, S. Shamma, and M. Elhilali, Music in our ears: the biological bases of musical timbre perception, PLoS Compututational Biology, vol.8, issue.11, 2012.

K. Siedenburg, I. Fujinaga, and S. Mcadams, A Comparison of Approaches to Timbre Descriptors in Music Information Retrieval and Music Psychology, Journal of New Music Research, vol.30, issue.9, pp.27-41, 2016.
DOI : 10.17743/jaes.2014.0035

T. Agus, S. Thorpe, and D. Pressnitzer, Rapid Formation of Robust Auditory Memories: Insights from Noise, Neuron, vol.66, issue.4, pp.610-618, 2010.
DOI : 10.1016/j.neuron.2010.04.014
URL : https://hal.archives-ouvertes.fr/hal-00488683

D. Pressnitzer, T. Agus, and C. Suied, Acoustic timbre recognition, Encyclopedia of Computational Neuroscience, pp.128-133, 2015.
DOI : 10.1007/978-1-4614-7320-6_98-1
URL : https://hal.archives-ouvertes.fr/hal-01165596