A Compendium of Pattern recognition techniques in face, speech and lie detection
Lie is a false statement made with deliberate intent to deceive, this is intentional untruth. People use different technologies of lie detection as Pattern recognition is a science to discover if an individual is telling the truth or lying. Patterns can describe some characteristics of liars, in thi...
- Autores:
-
Noreña Cardona, Paola Andrea
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2015
- Institución:
- Tecnológico de Antioquia
- Repositorio:
- Repositorio Tdea
- Idioma:
- eng
- OAI Identifier:
- oai:dspace.tdea.edu.co:tdea/4201
- Acceso en línea:
- https://dspace.tdea.edu.co/handle/tdea/4201
- Palabra clave:
- Digital image processing
Procesamiento digital de imágenes
Traitement numérique d'image
Tratamento digital de imagens
Facial recognition
Reconocimiento facial
Reconhecimento facial
Reconnaissance faciale
Voice recognition
Reconocimiento de voz
Reconhecimento de voz
Reconnaissance de la voix
Lie detection
Detección de mentiras
Détection de mensonges
Detecção de mentiras
Speech Recognition
Reconocimiento del habla
Pattern recognition
Reconocimiento de formas
Reconnaissance des formes
- Rights
- openAccess
- License
- https://creativecommons.org/licenses/by-nc-nd/4.0/
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dc.title.none.fl_str_mv |
A Compendium of Pattern recognition techniques in face, speech and lie detection |
title |
A Compendium of Pattern recognition techniques in face, speech and lie detection |
spellingShingle |
A Compendium of Pattern recognition techniques in face, speech and lie detection Digital image processing Procesamiento digital de imágenes Traitement numérique d'image Tratamento digital de imagens Facial recognition Reconocimiento facial Reconhecimento facial Reconnaissance faciale Voice recognition Reconocimiento de voz Reconhecimento de voz Reconnaissance de la voix Lie detection Detección de mentiras Détection de mensonges Detecção de mentiras Speech Recognition Reconocimiento del habla Pattern recognition Reconocimiento de formas Reconnaissance des formes |
title_short |
A Compendium of Pattern recognition techniques in face, speech and lie detection |
title_full |
A Compendium of Pattern recognition techniques in face, speech and lie detection |
title_fullStr |
A Compendium of Pattern recognition techniques in face, speech and lie detection |
title_full_unstemmed |
A Compendium of Pattern recognition techniques in face, speech and lie detection |
title_sort |
A Compendium of Pattern recognition techniques in face, speech and lie detection |
dc.creator.fl_str_mv |
Noreña Cardona, Paola Andrea |
dc.contributor.author.none.fl_str_mv |
Noreña Cardona, Paola Andrea |
dc.subject.agrovoc.none.fl_str_mv |
Digital image processing Procesamiento digital de imágenes Traitement numérique d'image Tratamento digital de imagens |
topic |
Digital image processing Procesamiento digital de imágenes Traitement numérique d'image Tratamento digital de imagens Facial recognition Reconocimiento facial Reconhecimento facial Reconnaissance faciale Voice recognition Reconocimiento de voz Reconhecimento de voz Reconnaissance de la voix Lie detection Detección de mentiras Détection de mensonges Detecção de mentiras Speech Recognition Reconocimiento del habla Pattern recognition Reconocimiento de formas Reconnaissance des formes |
dc.subject.decs.none.fl_str_mv |
Facial recognition Reconocimiento facial Reconhecimento facial Reconnaissance faciale Voice recognition Reconocimiento de voz Reconhecimento de voz Reconnaissance de la voix Lie detection Detección de mentiras Détection de mensonges |
dc.subject.eric.none.fl_str_mv |
Detecção de mentiras |
dc.subject.proposal.none.fl_str_mv |
Speech Recognition Reconocimiento del habla |
dc.subject.unesco.none.fl_str_mv |
Pattern recognition Reconocimiento de formas Reconnaissance des formes |
description |
Lie is a false statement made with deliberate intent to deceive, this is intentional untruth. People use different technologies of lie detection as Pattern recognition is a science to discover if an individual is telling the truth or lying. Patterns can describe some characteristics of liars, in this work to face and speech specifically. Face recognition take patttern of face and speech recognition of voice or speech to text. So this paper pretends realize a compendium on lie detection techniques and pattern recognition face and speech. It permits to review the actual state of the tecnhologies realized in these recognitions. Also It presents an analysis of tecnhologies using some of these techniques to resum the result. Keywords: Pattern recognition, facial recognition, speech recognition, lie detection, digital image processing |
publishDate |
2015 |
dc.date.issued.none.fl_str_mv |
2015 |
dc.date.accessioned.none.fl_str_mv |
2023-11-17T17:54:13Z |
dc.date.available.none.fl_str_mv |
2023-11-17T17:54:13Z |
dc.type.spa.fl_str_mv |
Artículo de revista |
dc.type.coar.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.content.spa.fl_str_mv |
Text |
dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.redcol.spa.fl_str_mv |
http://purl.org/redcol/resource_type/ART |
dc.type.version.spa.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.coarversion.spa.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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publishedVersion |
dc.identifier.issn.spa.fl_str_mv |
2076-734X |
dc.identifier.uri.none.fl_str_mv |
https://dspace.tdea.edu.co/handle/tdea/4201 |
dc.identifier.eissn.spa.fl_str_mv |
2076-7366 |
identifier_str_mv |
2076-734X 2076-7366 |
url |
https://dspace.tdea.edu.co/handle/tdea/4201 |
dc.language.iso.spa.fl_str_mv |
eng |
language |
eng |
dc.relation.citationendpage.spa.fl_str_mv |
115 |
dc.relation.citationissue.spa.fl_str_mv |
3 |
dc.relation.citationstartpage.spa.fl_str_mv |
108 |
dc.relation.citationvolume.spa.fl_str_mv |
24 |
dc.relation.ispartofjournal.spa.fl_str_mv |
International Journal of Research and Reviews in Applied Sciences |
dc.relation.references.spa.fl_str_mv |
The Stanford Encyclopedia of Philosophy, The Definition of Lying and Deception, Stanford: Stanford University, (2008) A. Moreno, Reconocimiento Facial Automático mediante Técnicas de Visión Tridimensional., Madrid: Universidad Politécnica de Madrid., (2004). D. Craig, Sé que mientes, México: Aguilar (2013) L. Calonge, T. Romero, Redes neuronales y reconocimiento de patrones, España: Universidad de Salamanca (2001). Fifth Generation Computer Corporation, Speaker Independent Connected Speech Recognition. Fifthgen.com Post parlamentary office of science and Technology, Detecting deception (2011). D. T. Likken, A tremor in the blood. Uses and abuses of the lie detector, New york: Plenum Press (1998) J. Masip, La evaluación de la credibilidad del testimonio a partir de los índices conductuales en el contexto jurídico penal. Tesis doctoral, Departamento de Psicología Social y antropología. Universidad de Salamanca, (2002). P. Ekman., Telling Lies., New York: Berkley Books (2001) A. Vrij., Criteria-Bases in Content Analysis. A qualitative review of the 37 studies, Psicologhy, public policy in law, 11, 1, 3-41 (2005). J. Masip, E. Garrido, C. Herrero, La detección de la mentira mediante la técnica SCAN. Psicopatología legal, judicial y forense, 2, 2, 39-62 (2002). E. Garrido, J. Masip, C. Herrero, M. Rojas, La detección del engaño a partir de claves conductuales por agentes de policía, Aplicaciones en psicología social, 97-105 (2000). S. Satel, S. Lilienfeld. New technologies for detecting untruths are as problematic as polygraphs. Slate review, (2013). L. A. Stromwall, P. Granhag, M. Hartwig, The detection of deception in forensic contexts, Cambriadge: Cambriadge University press, (2004). N. Andrade, Computers Are Getting Better Than Humans at Facial Recognition, University of California, Berkeley, (2014) Paul Ekman Group, Facial Action coding system. http://www.paulekman.com/product-category/facs/ H.Ugail, M.H.Yap, B.Rajoub, Face Reading Technology for Lie Detection, School of Computing, Informatics, and Media, Universidad de Bradford Chapman J, Field evaluation of effectiveness of vsa (voice stress analysis) technology in a us criminal justice setting, Criminalistics and Court Expertise, 57, 2012 Anders Eriksson and Francisco Lacerda, Charlatanry in Forensic speech science: A problem to be taken seriously, The International Journal of Speech, Language and the Law, 170-192 (2007) D. Haddad, S. Walter, R. Ratley, M. Smith. Investigation and Evaluation of Voice stress Analysis Technology, Final Report. National Institute of Justice, (2002). K.R. Demphousse, L. Pointon, D. Upchurch, R.K. Moore, R.K. Assesing the validity of voice stress Analysis Tools in a Jail setting. Report submitted to U.S. Department of Justice, (2007). H. Huerta., A. Cortez., L. Alarcón. y P. Romero., Reconocimiento de patrones mediante redes neuronales artificiales., Revista de Ingeniería de Sistemas e Informática, 6, 2, 17-26, (2009) M.Chaudhary, B. Chandra, R. Rathi, An Application of Face Recognition System using Image Processing and Neural Networks, International Journal of Computer Technology and Application, 3, 1, (2012). M. Modi, F. Macwan, International Journal of Innovative Research in Science, Engineering and Technology, 3, 4, 11107- 11116, (2014). C. Aguerrebere. y G. Capdehourat., Reconocimiento de caras con características locales, Proyecto Final Reconocimiento de Patrones, Montevideo: Universidad de la República, 2006. L. Blázquez, Reconocimiento Facial Basado en Puntos Característicos de la Cara en entornos no controlados, Universidad Autónoma de Madrid, (2013). M. Guevara., J. Echeverry. y W. Urueña., Detección de rostros en imágenes digitales usando clasificadores en cascada., Scientia et Technica, (2008) G. Zafaruddin y H. Fadewar, «Face recognition: A holistic approach review, Contemporary Computing and Informatics (IC3I), 2014 International Conference , 175-178, (2014) R. Jafri, H.R. Arabnia, A Survey of Face Recognition Techniques, Journal of Information Processing Systems, 5, 2, (2009). D. Pissarenko, Eigenface-based facial recognition, 2002. M. Turk, A. Pentland, Eigenfaces for recognition, J. Cognitive Neurosci, 3, 71-86, (1991) S. Rao, S. Asadi, A Comparative study of Face Recognition with Principal Component Analysis and CrossCorrelation Technique, International Journal of Computer Applications, 10, 8, (2010). J. Galbally, C. McCool, J. Fierrez, S. Marcel, and J. Ortega-Garcia «On the vulnerability of face verification systems to hill-climbing attacks , Pattern Recognition, vol. 43, nº 3, pp. 1027-1038, (2010). J. Guevara, Detección de Rostros por medio de las Wavelets de Morlet, Vision Journal, (2002) S. Ladhake y A. A. Khodaskar, Pattern recognition: Advanced development, techniques and application for image retrieval,» Communication and Network Technologies (ICCNT), 2014 International Conference, 74-78, (2014). N. Smith and M. Niranjan, Data-dependent kernels in SVM classification of speech pattterns. Cambridge University, Citeseer journal, (2001). W. M. Campbell , J. P. Campbell , D. A. Reynolds , E. Singer , P. A. Torres, Support Vector Machines for Speaker and Language Recognition, Computer Speech and Language, (2006) Yasser Hifny, Steve Renals, Speech Recognition Using Augmented Conditional Random Fields, IEEE Transactions on audio, speech, and language processing, 17, 2, (2009). J. Lafferty, A. McCallum, and F. Pereira, “Conditional random fields: Probabilistic models for segmenting and labeling sequence data,” in Proc. ICML, 2001, pp. 282–289. J. Bilmes, What HMMs can do, IEICE Trans. Inf. Syst., E89-D, 3, 869–891, (2006). D. Povey, B. Kingsbur, L. Mangu , G. Saon, H. Soltau, G. Zweig, fMPE: Discriminatively trained features for speech recognition, in Proc. IEEE ICASSP. 961-964, (2005). G. Saon, G. Zweig, Kingsbury B., Mangu L., and Chaudhari U., An Architecture for Rapid Decodingof Large Vocabulary Conversational Speech, in Eurospeech, 2002 A. Waibel, T. Hanazawa, G. Hinton, K. Shikano, and K. J. Lang, Phoneme recognition using timedelay neural networks," IEEE Transactions on Acoustics, Speech and Signal Processing, 37, 328-339. (1989). F. Beaufays, H. Bourlard, H. Franco, and N. Morgan, Speech recognition technology, in Handbook of Brain Theory and Neural Networks, 2nd ed., M. Arbib, Ed. Cambridge, MA: MIT Press, (2002) S. A. Zahorian, A. M. Zimmer, and F. Meng, Vowel Classification for Computer based Visual Feedback for Speech Training for the Hearing Impaired in ICSLP (2002). Hongbing Hu, Stephen A. Zahorian, Dimensionality Reduction Methods for HMM Phonetic Recognition, ICASSP 2010, Dallas, TX, (2010). Janet M. Baker, Li Deng, James Glass, Sanjeev Khudanpur, Chin-Hui Lee, Nelson Morgan, and Douglas O’Shaughnessy. Research Developments and Directions in Speech Recognition and Understanding. Research Microsoft, (2009) J.J Roberts, Who owns your face? Weak laws give power to Facebook, Fortune review, (2015). |
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Noreña Cardona, Paola Andrea48c82199-57ba-4b2f-abb5-da9a4894e50f6002023-11-17T17:54:13Z2023-11-17T17:54:13Z20152076-734Xhttps://dspace.tdea.edu.co/handle/tdea/42012076-7366Lie is a false statement made with deliberate intent to deceive, this is intentional untruth. People use different technologies of lie detection as Pattern recognition is a science to discover if an individual is telling the truth or lying. Patterns can describe some characteristics of liars, in this work to face and speech specifically. Face recognition take patttern of face and speech recognition of voice or speech to text. So this paper pretends realize a compendium on lie detection techniques and pattern recognition face and speech. It permits to review the actual state of the tecnhologies realized in these recognitions. Also It presents an analysis of tecnhologies using some of these techniques to resum the result. Keywords: Pattern recognition, facial recognition, speech recognition, lie detection, digital image processing8 páginasapplication/pdfengAcademic Research Publishing AgencyPakistánhttps://creativecommons.org/licenses/by-nc-nd/4.0/Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2https://www.arpapress.com/ijrras/Volume24issue3.aspxA Compendium of Pattern recognition techniques in face, speech and lie detectionArtículo de revistahttp://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85115310824International Journal of Research and Reviews in Applied SciencesThe Stanford Encyclopedia of Philosophy, The Definition of Lying and Deception, Stanford: Stanford University, (2008)A. Moreno, Reconocimiento Facial Automático mediante Técnicas de Visión Tridimensional., Madrid: Universidad Politécnica de Madrid., (2004).D. Craig, Sé que mientes, México: Aguilar (2013)L. Calonge, T. Romero, Redes neuronales y reconocimiento de patrones, España: Universidad de Salamanca (2001).Fifth Generation Computer Corporation, Speaker Independent Connected Speech Recognition. Fifthgen.comPost parlamentary office of science and Technology, Detecting deception (2011).D. T. Likken, A tremor in the blood. Uses and abuses of the lie detector, New york: Plenum Press (1998)J. Masip, La evaluación de la credibilidad del testimonio a partir de los índices conductuales en el contexto jurídico penal. Tesis doctoral, Departamento de Psicología Social y antropología. Universidad de Salamanca, (2002).P. Ekman., Telling Lies., New York: Berkley Books (2001)A. Vrij., Criteria-Bases in Content Analysis. A qualitative review of the 37 studies, Psicologhy, public policy in law, 11, 1, 3-41 (2005).J. Masip, E. Garrido, C. Herrero, La detección de la mentira mediante la técnica SCAN. Psicopatología legal, judicial y forense, 2, 2, 39-62 (2002).E. Garrido, J. Masip, C. Herrero, M. Rojas, La detección del engaño a partir de claves conductuales por agentes de policía, Aplicaciones en psicología social, 97-105 (2000).S. Satel, S. Lilienfeld. New technologies for detecting untruths are as problematic as polygraphs. Slate review, (2013).L. A. Stromwall, P. Granhag, M. Hartwig, The detection of deception in forensic contexts, Cambriadge: Cambriadge University press, (2004).N. Andrade, Computers Are Getting Better Than Humans at Facial Recognition, University of California, Berkeley, (2014)Paul Ekman Group, Facial Action coding system. http://www.paulekman.com/product-category/facs/H.Ugail, M.H.Yap, B.Rajoub, Face Reading Technology for Lie Detection, School of Computing, Informatics, and Media, Universidad de BradfordChapman J, Field evaluation of effectiveness of vsa (voice stress analysis) technology in a us criminal justice setting, Criminalistics and Court Expertise, 57, 2012Anders Eriksson and Francisco Lacerda, Charlatanry in Forensic speech science: A problem to be taken seriously, The International Journal of Speech, Language and the Law, 170-192 (2007)D. Haddad, S. Walter, R. Ratley, M. Smith. Investigation and Evaluation of Voice stress Analysis Technology, Final Report. National Institute of Justice, (2002).K.R. Demphousse, L. Pointon, D. Upchurch, R.K. Moore, R.K. Assesing the validity of voice stress Analysis Tools in a Jail setting. Report submitted to U.S. Department of Justice, (2007).H. Huerta., A. Cortez., L. Alarcón. y P. Romero., Reconocimiento de patrones mediante redes neuronales artificiales., Revista de Ingeniería de Sistemas e Informática, 6, 2, 17-26, (2009)M.Chaudhary, B. Chandra, R. Rathi, An Application of Face Recognition System using Image Processing and Neural Networks, International Journal of Computer Technology and Application, 3, 1, (2012).M. Modi, F. Macwan, International Journal of Innovative Research in Science, Engineering and Technology, 3, 4, 11107- 11116, (2014).C. Aguerrebere. y G. Capdehourat., Reconocimiento de caras con características locales, Proyecto Final Reconocimiento de Patrones, Montevideo: Universidad de la República, 2006.L. Blázquez, Reconocimiento Facial Basado en Puntos Característicos de la Cara en entornos no controlados, Universidad Autónoma de Madrid, (2013).M. Guevara., J. Echeverry. y W. Urueña., Detección de rostros en imágenes digitales usando clasificadores en cascada., Scientia et Technica, (2008)G. Zafaruddin y H. Fadewar, «Face recognition: A holistic approach review, Contemporary Computing and Informatics (IC3I), 2014 International Conference , 175-178, (2014)R. Jafri, H.R. Arabnia, A Survey of Face Recognition Techniques, Journal of Information Processing Systems, 5, 2, (2009).D. Pissarenko, Eigenface-based facial recognition, 2002.M. Turk, A. Pentland, Eigenfaces for recognition, J. Cognitive Neurosci, 3, 71-86, (1991)S. Rao, S. Asadi, A Comparative study of Face Recognition with Principal Component Analysis and CrossCorrelation Technique, International Journal of Computer Applications, 10, 8, (2010).J. Galbally, C. McCool, J. Fierrez, S. Marcel, and J. Ortega-Garcia «On the vulnerability of face verification systems to hill-climbing attacks , Pattern Recognition, vol. 43, nº 3, pp. 1027-1038, (2010).J. Guevara, Detección de Rostros por medio de las Wavelets de Morlet, Vision Journal, (2002)S. Ladhake y A. A. Khodaskar, Pattern recognition: Advanced development, techniques and application for image retrieval,» Communication and Network Technologies (ICCNT), 2014 International Conference, 74-78, (2014).N. Smith and M. Niranjan, Data-dependent kernels in SVM classification of speech pattterns. Cambridge University, Citeseer journal, (2001).W. M. Campbell , J. P. Campbell , D. A. Reynolds , E. Singer , P. A. Torres, Support Vector Machines for Speaker and Language Recognition, Computer Speech and Language, (2006)Yasser Hifny, Steve Renals, Speech Recognition Using Augmented Conditional Random Fields, IEEE Transactions on audio, speech, and language processing, 17, 2, (2009).J. Lafferty, A. McCallum, and F. Pereira, “Conditional random fields: Probabilistic models for segmenting and labeling sequence data,” in Proc. ICML, 2001, pp. 282–289.J. Bilmes, What HMMs can do, IEICE Trans. Inf. Syst., E89-D, 3, 869–891, (2006).D. Povey, B. Kingsbur, L. Mangu , G. Saon, H. Soltau, G. Zweig, fMPE: Discriminatively trained features for speech recognition, in Proc. IEEE ICASSP. 961-964, (2005).G. Saon, G. Zweig, Kingsbury B., Mangu L., and Chaudhari U., An Architecture for Rapid Decodingof Large Vocabulary Conversational Speech, in Eurospeech, 2002A. Waibel, T. Hanazawa, G. Hinton, K. Shikano, and K. J. Lang, Phoneme recognition using timedelay neural networks," IEEE Transactions on Acoustics, Speech and Signal Processing, 37, 328-339. (1989).F. Beaufays, H. Bourlard, H. Franco, and N. Morgan, Speech recognition technology, in Handbook of Brain Theory and Neural Networks, 2nd ed., M. Arbib, Ed. Cambridge, MA: MIT Press, (2002)S. A. Zahorian, A. M. Zimmer, and F. Meng, Vowel Classification for Computer based Visual Feedback for Speech Training for the Hearing Impaired in ICSLP (2002).Hongbing Hu, Stephen A. Zahorian, Dimensionality Reduction Methods for HMM Phonetic Recognition, ICASSP 2010, Dallas, TX, (2010).Janet M. Baker, Li Deng, James Glass, Sanjeev Khudanpur, Chin-Hui Lee, Nelson Morgan, and Douglas O’Shaughnessy. Research Developments and Directions in Speech Recognition and Understanding. Research Microsoft, (2009)J.J Roberts, Who owns your face? Weak laws give power to Facebook, Fortune review, (2015).Digital image processingProcesamiento digital de imágenesTraitement numérique d'imageTratamento digital de imagensFacial recognitionReconocimiento facialReconhecimento facialReconnaissance facialeVoice recognitionReconocimiento de vozReconhecimento de vozReconnaissance de la voixLie detectionDetección de mentirasDétection de mensongesDetecção de mentirasSpeech RecognitionReconocimiento del hablaPattern recognitionReconocimiento de formasReconnaissance des formesTHUMBNAILA Compendium of Pattern recognition techniques in face, speech and lie detection.pdf.jpgA Compendium of Pattern recognition techniques in face, speech and lie detection.pdf.jpgGenerated Thumbnailimage/jpeg17396https://dspace.tdea.edu.co/bitstream/tdea/4201/4/A%20Compendium%20of%20Pattern%20recognition%20techniques%20in%20face%2c%20speech%20and%20lie%20detection.pdf.jpgfebcb6c173fa9ac866ce663a6d940cc1MD54open accessTEXTA Compendium of Pattern recognition techniques 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 incorporada en las Obras Colectivas.

b.	Distribuir copias o fonogramas de las Obras, exhibirlas públicamente, ejecutarlas públicamente y/o ponerlas a disposición pública, incluyéndolas como incorporadas en Obras Colectivas, según corresponda.

c.	Distribuir copias de las Obras Derivadas que se generen, exhibirlas públicamente, ejecutarlas públicamente y/o ponerlas a disposición pública.
Los derechos mencionados anteriormente pueden ser ejercidos en todos los medios y formatos, actualmente conocidos o que se inventen en el futuro. Los derechos antes mencionados incluyen el derecho a realizar dichas modificaciones en la medida que sean técnicamente necesarias para ejercer los derechos en otro medio o formatos, pero de otra manera usted no está autorizado para realizar obras derivadas. Todos los derechos no otorgados expresamente por el Licenciante quedan por este medio reservados, incluyendo pero sin limitarse a aquellos que se mencionan en las secciones 4(d) y 4(e).

4. Restricciones.
La licencia otorgada en la anterior Sección 3 está expresamente sujeta y limitada por las siguientes restricciones:

a.	Usted puede distribuir, exhibir públicamente, ejecutar públicamente, o poner a disposición pública la Obra sólo bajo las condiciones de esta Licencia, y Usted debe incluir una copia de esta licencia o del Identificador Universal de Recursos de la misma con cada copia de la Obra que distribuya, exhiba públicamente, ejecute públicamente o ponga a disposición pública. No es posible ofrecer o imponer ninguna condición sobre la Obra que altere o limite las condiciones de esta Licencia o el ejercicio de los derechos de los destinatarios otorgados en este documento. No es posible sublicenciar la Obra. Usted debe mantener intactos todos los avisos que hagan referencia a esta Licencia y a la cláusula de limitación de garantías. Usted no puede distribuir, exhibir públicamente, ejecutar públicamente, o poner a disposición pública la Obra con alguna medida tecnológica que controle el acceso o la utilización de ella de una forma que sea inconsistente con las condiciones de esta Licencia. Lo anterior se aplica a la Obra incorporada a una Obra Colectiva, pero esto no exige que la Obra Colectiva aparte de la obra misma quede sujeta a las condiciones de esta Licencia. Si Usted crea una Obra Colectiva, previo aviso de cualquier Licenciante debe, en la medida de lo posible, eliminar de la Obra Colectiva cualquier referencia a dicho Licenciante o al Autor Original, según lo solicitado por el Licenciante y conforme lo exige la cláusula 4(c).

b.	Usted no puede ejercer ninguno de los derechos que le han sido otorgados en la Sección 3 precedente de modo que estén principalmente destinados o directamente dirigidos a conseguir un provecho comercial o una compensación monetaria privada. El intercambio de la Obra por otras obras protegidas por derechos de autor, ya sea a través de un sistema para compartir archivos digitales (digital file-sharing) o de cualquier otra manera no será considerado como estar destinado principalmente o dirigido directamente a conseguir un provecho comercial o una compensación monetaria privada, siempre que no se realice un pago mediante una compensación monetaria en relación con el intercambio de obras protegidas por el derecho de autor.

c.	Si usted distribuye, exhibe públicamente, ejecuta públicamente o ejecuta públicamente en forma digital la Obra o cualquier Obra Derivada u Obra Colectiva, Usted debe mantener intacta toda la información de derecho de autor de la Obra y proporcionar, de forma razonable según el medio o manera que Usted esté utilizando: (i) el nombre del Autor Original si está provisto (o seudónimo, si fuere aplicable), y/o (ii) el nombre de la parte o las partes que el Autor Original y/o el Licenciante hubieren designado para la atribución (v.g., un instituto patrocinador, editorial, publicación) en la información de los derechos de autor del Licenciante, términos de servicios o de otras formas razonables; el título de la Obra si está provisto; en la medida de lo razonablemente factible y, si está provisto, el Identificador Uniforme de Recursos (Uniform Resource Identifier) que el Licenciante especifica para ser asociado con la Obra, salvo que tal URI no se refiera a la nota sobre los derechos de autor o a la información sobre el licenciamiento de la Obra; y en el caso de una Obra Derivada, atribuir el crédito identificando el uso de la Obra en la Obra Derivada (v.g., "Traducción Francesa de la Obra del Autor Original," o "Guión Cinematográfico basado en la Obra original del Autor Original"). Tal crédito puede ser implementado de cualquier forma razonable; en el caso, sin embargo, de Obras Derivadas u Obras Colectivas, tal crédito aparecerá, como mínimo, donde aparece el crédito de cualquier otro autor comparable y de una manera, al menos, tan destacada como el crédito de otro autor comparable.

d.	Para evitar toda confusión, el Licenciante aclara que, cuando la obra es una composición musical:

i.	Regalías por interpretación y ejecución bajo licencias generales. El Licenciante se reserva el derecho exclusivo de autorizar la ejecución pública o la ejecución pública digital de la obra y de recolectar, sea individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, SAYCO), las regalías por la ejecución pública o por la ejecución pública digital de la obra (por ejemplo Webcast) licenciada bajo licencias generales, si la interpretación o ejecución de la obra está primordialmente orientada por o dirigida a la obtención de una ventaja comercial o una compensación monetaria privada.

ii.	Regalías por Fonogramas. El Licenciante se reserva el derecho exclusivo de recolectar, individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, los consagrados por la SAYCO), una agencia de derechos musicales o algún agente designado, las regalías por cualquier fonograma que Usted cree a partir de la obra (“versión cover”) y distribuya, en los términos del régimen de derechos de autor, si la creación o distribución de esa versión cover está primordialmente destinada o dirigida a obtener una ventaja comercial o una compensación monetaria privada.

e.	Gestión de Derechos de Autor sobre Interpretaciones y Ejecuciones Digitales (WebCasting). Para evitar toda confusión, el Licenciante aclara que, cuando la obra sea un fonograma, el Licenciante se reserva el derecho exclusivo de autorizar la ejecución pública digital de la obra (por ejemplo, webcast) y de recolectar, individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, ACINPRO), las regalías por la ejecución pública digital de la obra (por ejemplo, webcast), sujeta a las disposiciones aplicables del régimen de Derecho de Autor, si esta ejecución pública digital está primordialmente dirigida a obtener una ventaja comercial o una compensación monetaria privada.

5. Representaciones, Garantías y Limitaciones de Responsabilidad.
A MENOS QUE LAS PARTES LO ACORDARAN DE OTRA FORMA POR ESCRITO, EL LICENCIANTE OFRECE LA OBRA (EN EL ESTADO EN EL QUE SE ENCUENTRA) “TAL CUAL”, SIN BRINDAR GARANTÍAS DE CLASE ALGUNA RESPECTO DE LA OBRA, YA SEA EXPRESA, IMPLÍCITA, LEGAL O CUALQUIERA OTRA, INCLUYENDO, SIN LIMITARSE A ELLAS, GARANTÍAS DE TITULARIDAD, COMERCIABILIDAD, ADAPTABILIDAD O ADECUACIÓN A PROPÓSITO DETERMINADO, AUSENCIA DE INFRACCIÓN, DE AUSENCIA DE DEFECTOS LATENTES O DE OTRO TIPO, O LA PRESENCIA O AUSENCIA DE ERRORES, SEAN O NO DESCUBRIBLES (PUEDAN O NO SER ESTOS DESCUBIERTOS). ALGUNAS JURISDICCIONES NO PERMITEN LA EXCLUSIÓN DE GARANTÍAS IMPLÍCITAS, EN CUYO CASO ESTA EXCLUSIÓN PUEDE NO APLICARSE A USTED.

6. Limitación de responsabilidad.
A MENOS QUE LO EXIJA EXPRESAMENTE LA LEY APLICABLE, EL LICENCIANTE NO SERÁ RESPONSABLE ANTE USTED POR DAÑO ALGUNO, SEA POR RESPONSABILIDAD EXTRACONTRACTUAL, PRECONTRACTUAL O CONTRACTUAL, OBJETIVA O SUBJETIVA, SE TRATE DE DAÑOS MORALES O PATRIMONIALES, DIRECTOS O INDIRECTOS, PREVISTOS O IMPREVISTOS PRODUCIDOS POR EL USO DE ESTA LICENCIA O DE LA OBRA, AUN CUANDO EL LICENCIANTE HAYA SIDO ADVERTIDO DE LA POSIBILIDAD DE DICHOS DAÑOS. ALGUNAS LEYES NO PERMITEN LA EXCLUSIÓN DE CIERTA RESPONSABILIDAD, EN CUYO CASO ESTA EXCLUSIÓN PUEDE NO APLICARSE A USTED.

7. Término.

a.	Esta Licencia y los derechos otorgados en virtud de ella terminarán automáticamente si Usted infringe alguna condición establecida en ella. Sin embargo, los individuos o entidades que han recibido Obras Derivadas o Colectivas de Usted de conformidad con esta Licencia, no verán terminadas sus licencias, siempre que estos individuos o entidades sigan cumpliendo íntegramente las condiciones de estas licencias. Las Secciones 1, 2, 5, 6, 7, y 8 subsistirán a cualquier terminación de esta Licencia.

b.	Sujeta a las condiciones y términos anteriores, la licencia otorgada aquí es perpetua (durante el período de vigencia de los derechos de autor de la obra). No obstante lo anterior, el Licenciante se reserva el derecho a publicar y/o estrenar la Obra bajo condiciones de licencia diferentes o a dejar de distribuirla en los términos de esta Licencia en cualquier momento; en el entendido, sin embargo, que esa elección no servirá para revocar esta licencia o que deba ser otorgada , bajo los términos de esta licencia), y esta licencia continuará en pleno vigor y efecto a menos que sea terminada como se expresa atrás. La Licencia revocada continuará siendo plenamente vigente y efectiva si no se le da término en las condiciones indicadas anteriormente.

8. Varios.

a.	Cada vez que Usted distribuya o ponga a disposición pública la Obra o una Obra Colectiva, el Licenciante ofrecerá al destinatario una licencia en los mismos términos y condiciones que la licencia otorgada a Usted bajo esta Licencia.

b.	Si alguna disposición de esta Licencia resulta invalidada o no exigible, según la legislación vigente, esto no afectará ni la validez ni la aplicabilidad del resto de condiciones de esta Licencia y, sin acción adicional por parte de los sujetos de este acuerdo, aquélla se entenderá reformada lo mínimo necesario para hacer que dicha disposición sea válida y exigible.

c.	Ningún término o disposición de esta Licencia se estimará renunciada y ninguna violación de ella será consentida a menos que esa renuncia o consentimiento sea otorgado por escrito y firmado por la parte que renuncie o consienta.

d.	Esta Licencia refleja el acuerdo pleno entre las partes respecto a la Obra aquí licenciada. No hay arreglos, acuerdos o declaraciones respecto a la Obra que no estén especificados en este documento. El Licenciante no se verá limitado por ninguna disposición adicional que pueda surgir en alguna comunicación emanada de Usted. Esta Licencia no puede ser modificada sin el consentimiento mutuo por escrito del Licenciante y Usted.
 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