[en] Artificial Intelligence and specially Machine Learning and Deep Learning techniques are increasingly populating today's technological and social landscape. These advancements have overwhelmingly contributed to the development of Speech Synthesis, also known as, Text-To-Speech, where speech is artificially produced from text by means of computer technology. Despite existing such a variety of speech synthesis tools and systems, there is a fundamental common drawback: unnatural, robotic and impersonal synthesized voices. That's where Voice Cloning technology comes into play, which allows to generate an artificial synthetic speech that resembles a targeted human voice. This new practice offers many benefits in several fields, such as, healthcare, education, or advertising. However, there is a known fact that every coin has two sides. Likewise, with the development of voice cloning, the generation of fake video and voices, known as "deepfakes", has risen, causing a loss of trust and greater fear towards technology. In this way, the objective of this project is to analyze the availability of deepfake voice technologies nowadays and its impact for good and evil. Therefore, we chose to focus on the educational field, by implementing a voice query assistant that answers to questions related to a course, like the professor's contact information or the date of the final exam. To enhance user experience, we added the extra feature of answering with the corresponding professor's cloned voice. Moreover, as an initial point for a forthcoming investigation, we provide a design of a qualitative research study that allows participants to test the built framework and to give their views in order to gain a better understanding of the impact that voice cloning causes on people. Since all technology related concept, voice cloning is not exempt from discussion, so we also conduct an analysis about the misuse, the regulation, and the future of it. The results of the case study show that it is possible to clone someone's voice based on just a few seconds of reference audio, which creates a superior user experience, but at the same time, reveals how easily can anyone have access to voice cloning. This expresses very well the importance of the new challenges opened by this potential technology and the need of safeguarding and regulation. There is no doubt that to understand the dynamics and impact of voice cloning and reach more robust conclusions, future research is needed.

[eu] Adimen Artifizialak, eta bereziki Ikasketa Automatikoak eta Ikaskuntza Sakonak, gero eta garrantzi handiagoa dute gaur egungo ikuspegi teknologiko eta sozialean. Aurrerapen horiek izugarri lagundu dute hizketa-sintesiaren garapenean, non, ordenagailu baten bitartez, ahotsa artifizialki sortzen den. Gaur egun hizketa sintesirako sistema ugari egon arren, gehienek eragozpen komun bat dute: ahots ez natural, robotiko eta inpertsonala. Horren konponbide gisa, ahots-klonazioa erabiltzen da, zeinari esker, norbaiten ahotsaren antza duen hizketa sintetiko artifiziala sortzen den. Teknologia berri honek hainbat abantaila eskaintzen ditu zenbait arlotan, hala nola, osasunean, hezkuntzan edota publizitatean. Hala ere, ahots-klonazioaren garapenarekin batera, "deepfake" izenarekin ezagutzen diren bideo eta ahots faltsuen sorrerak gora egin du, teknologiarekiko konfiantza galduz eta beldurra areagotuz. Era horretan, proiektu honen helburua gaur egungo ahots-klonazioaren erabilgarritasuna eta eragin positibo eta negatiboak aztertzea da. Horretarako, hezkuntza eremuan zentratu gara, irakasgai batekin lotutako galderei (irakaslearen kontaktu informazioa edo amaierako azterketaren data adibidez) erantzuteko gai den ahots-laguntzailea garatuz. Horrez gain, erabiltzailearen esperientzia hobetzeko, erantzuna dagokion irakaslearen ahots klonatuarekin erreproduzituko da. Gainera, etorkizuneko ikerlan posible bati begira, ikerketa kualitatibo baten diseinua eskaintzen da, non parte-hartzaileek garatutako sistema probatu eta beraien iritzia emango duten, ahots-klonazioak pertsonengan duen eragina hobeto ulertzeko. Bestalde, ahots-klonazioa, teknologiarekin loturiko kontzeptu guztiak bezala, ez dago eztabaidatik salbu, eta beraz, honen erabilera okerra, erregulazioa eta etorkizuna aztertuko dira. Proiektu honen bidez norbaiten ahotsa klonatzea posible dela ondoriozta daiteke, erreferentzia gisa jatorrizko ahotsaren segundo gutxi batzuk oinarri hartuta. Horrek, aurreratu bezala, erabiltzaileen esperientzia hobetzen du, baina aldi berean, agerian uzten du ahots-klonazioa edonoren eskura dagoela. Beraz, teknologia honek sortutako erronka berriei aurre egiteko, prebentzio eta erregulazioaren beharra nahitaezkoa da. Argi dago honen dinamika hobeto ulertzeko eta ondorio sendoagoetara heltzeko etorkizunean ikerketa gehiago behar direla.