Podcasts about tacotron

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Best podcasts about tacotron

Latest podcast episodes about tacotron

PlanetaCast
#107 Fake audio - manipulação de voz traz novos desafios

PlanetaCast

Play Episode Listen Later May 19, 2021 4:36


Leva apenas 3,7 segundos de áudio para clonar uma voz. Esta façanha impressionante, e preocupante, foi anunciada pela chinesa Baidu, uma das maiores empresas de tecnologia do mundo. Um ano atrás, a ferramenta de clonagem de voz da empresa chamada Deep Voice exigia 30 minutos de áudio para fazer o mesmo. Isso mostra o quão rápido a tecnologia para criar vozes artificiais está se acelerando. Em pouco tempo, os recursos de geração de voz de Inteligência Artificial se expandiram e se tornaram mais realistas, o que torna fácil o uso indevido da tecnologia. Como todos os algoritmos de inteligência artificial, quanto mais dados as ferramentas de clonagem como Deep Voice receberem para treinar, mais realistas vão ser os resultados. Recentemente, o Google revelou o Tacotron 2, um sistema de conversão de texto em fala, e o método de geração de voz WaveNet. O WaveNet analisa uma representação visual de áudio, chamada espectrograma. Esse sistema gera o áudio. Ele é usado para gerar a voz para o Google Assistente. Esta tecnologia é tão realista que é quase impossível dizer o que é gerado por IA e qual voz é gerada por humanos. O algoritmo aprendeu como pronunciar palavras e nomes desafiadores que seriam um sinal revelador de uma máquina, bem como enunciar palavras com mais naturalidade. Essa tecnologia avançada abre as portas para empresas fornecerem novos serviços e produtos. A Lyrebird, por exemplo, usa inteligência artificial para criar vozes para chatbots, audiolivros, videogames, leitores de texto e muito mais. Eles reconhecem em seu site que “com uma grande inovação vem uma grande responsabilidade”, ressaltando a importância dos pioneiros dessa tecnologia tomarem muito cuidado para evitar o uso indevido da tecnologia. Semelhante a outras novas tecnologias, a voz artificial pode ter muitos benefícios, mas também pode ser usada para enganar indivíduos. À medida que os algoritmos de IA ficam melhores e fica difícil discernir o que é real e o que é artificial, haverá mais oportunidades de usá-los para fabricar a verdade. De acordo com pesquisas, nossos cérebros não registram diferenças significativas entre vozes reais e artificiais. Na verdade, é mais difícil para nosso cérebro distinguir vozes falsas do que detectar imagens falsas. Agora que esses sistemas de inteligência artificial requerem apenas uma pequena quantidade de áudio para criar uma voz artificial que imite o estilo de fala e o tom de um indivíduo, a oportunidade de abuso aumenta. Até agora, os pesquisadores não foram capazes de identificar uma distinção neural de como um cérebro pode distinguir entre o real e o falso. Imagine como vozes artificiais poderiam ser usadas em uma entrevista, notícias ou conferência de imprensa para fazer os ouvintes acreditarem que estão ouvindo uma figura de autoridade no governo ou um CEO de uma empresa. Aumentar a conhecimento sobre essa tecnologia e como ela funciona é o primeiro passo para evitar que os ouvintes acreditem em vozes artificiais quando elas são usadas para nos enganar. O principal receio é que as pessoas possam ser enganadas se agirem com base em algo falso porque parece que vem de alguém real. Algumas pessoas estão tentando encontrar uma solução técnica para nos proteger. No entanto, uma solução técnica não será 100% infalível. Nossa capacidade de avaliar criticamente uma situação, avaliar a fonte de informação e verificar sua validade se tornará cada vez mais importante.

Free Awesome Natural Voices To Be Heard | Talk-With-AI
Deepfake Voice Technology: The Good. The Bad. The Future.

Free Awesome Natural Voices To Be Heard | Talk-With-AI

Play Episode Listen Later Feb 1, 2021 8:28


Deepfake voice technology based on voice cloning, or quasi-perfect reproductions of a person’s voice, can be used both for the good and for the bad. It can be put in the service of voice synthesis that can give a voice back to people who would otherwise lose it due to acute or chronic conditions such as ALS, apraxia, traumatic brain injury, stroke, etc.It is already being used in the film and TV industry, gaming, call centers, and it is also potentially convenient for encryption and therapy. However, there is no denying that it can pose a significant threat to democratic processes, particularly to those related to the value of privacy. If used inappropriately, deep-fake voice technology can perpetuate deceit and harassment.Precisely because we are fully aware of this, we at Respeecher place a great deal of emphasis on the use of voice technology in ways that minimize the risk of fooling people into thinking someone said something they didn't.We are committed to ensuring that our groundbreaking technology is only used for ethical projects, and does not fall into the wrong hands. We do not use the voice of a private person or an actor without permission, and we always ask for voice owners’ written consent. However, we do allow non-deceptive use of the voices of historical figures and politicians, such as Richard Nixon or Barack Obama, but only for projects that meet ethical standards.What about use cases for businesses? Numbers show that there is a huge opportunity for economic organizations to leverage voice to acquire and retain new business. According to an AppDynamics report from 2018, half the web searches were forecasted to be voice-driven by 2020.61% of the surveyed IT decision-makers take this even further, expecting that voice commands would completely replace manually typed commands for finding information on the Internet. And the young generation leads the way - 84% of millennials already use voice assistants to help them keep track of their daily schedule and responsibilities.The Good.Giving the ability to speak naturally back to people who suffer from a wide range of medical conditionsThe ability to communicate, sharing thoughts and feelings by uttering words is extremely important, in fact, it is among those things that make us, humans, special. But there is more to what groundbreaking voice conversion technology can do for vocally impaired people.Consider the expansion of home automation technologies with vocal control. Voice cloning could make people who can’t speak naturally more independent, better able to make use of the devices that can be vocally commanded.Voice assistantsAccording to Ovum's Digital Assistant and Voice AI–Capable Device Forecast: 2016–21, by 2021 voice assistants will outnumber the human beings that live on Earth. Let’s take Google Assistant as an example. Its voice is generated by the text-to-speech system Tacotron 2, based on two deep neural networks.The first transforms the text into a visual representation (i.e., the spectrogram) of audio frequencies over time, and then a WaveNet system analyses the spectrogram and creates audio elements. The outcome is speech that is nearly indistinguishable from human speech, even when it comes to the pronunciation of challenging words.Interactive content for online learning coursesVoice cloning with artificial intelligence makes it unnecessary to record notes for every new session, or to record again in order to correct potential mistakes. This leads to the reduction of both financial and time costs of professionally recorded lectures, and hence it fosters the proliferation of online courses. And this is no small thing, particularly during the tough times that we are traversing due to COVID-19 restrictions.The BadBlackmailFake, yet extremely realistic, videos with explicit sexual or violent scenes may be created by joint usage of deepfake voice technology and deepfake video.Spam emailsIf you’ve received an email asking you to “contact bank X via the below email to guide you further on the wire transfer procedure”, it’s quite likely that you regard it as spam and do nothing about it. However, a subsequent phone call from somebody who sounds exactly like a trusted contact, advising you to respond to the email, might change your mind and make you do something you will have wished you hadn’t.Serving unlawful competitionSomeone may pretend to be the CEO of company X, and from this position present sham data during fake earnings calls, fooling stakeholders and investors into believing that stock prices are different from what they really are. The same illicit technique can be used to sabotage industry rivals.We are painfully aware that synthetic media technology can potentially be used in harmful ways. This is one of the reasons why our tech is not accessible to the public. We restrict usage of our voice conversion systems to non-deceptive content creation applications, by limiting who we work with and what we allow them to do with our technology.We hope that being early to market, we can actually help educate the public about what is technically possible and make people less likely to fall for deceptive synthetic speech. We also think that an important role in limiting this harm can be played by gatekeepers such as Youtube and Facebook, and we are ready to work with such platforms to detect and prominently label synthetic speech.The FutureB2B use casesGiven the findings of the above-cited AppDynamics report, the use of voice conversion technology by companies should be framed not in terms of if, but of when. 69% of the IT decision-makers work for organizations that already invest in, or plan to invest in voice technology during the next 3 years.Whether you’re looking at voice replication, therapy for speech problems, dubbing and ADR, encryption, gaming, etc., all of these are likely to benefit from leveraging voice cloning. The envisaged development of a real-time system (currently an ongoing process) within gaming, for instance, will allow players to use different voices in in-game chats. Things are evolving fast when it comes to deepfake voice technology.Voice cloning for call centersRespeecher is now working on breakthrough technologies that will make overseas operators able to sound like locals. At long last, we are getting closer to the solution for getting operators to sound more like the people they are speaking with over the phone. Along the same lines, our robotic operators will soon sound more human once we get the voice makeover “up and running”.ConclusionDeepfake voice technology does indeed pose security risks, but acknowledging them and trying to minimize them are the first steps towards focusing mainly on the good. Cloned voices that sound indistinguishable from the original speakers are a match made in heaven for filmmakers, game developers, other media content creators, and soon, also for call centers.Since digitally replicated voices can already capture nuances and emotions, the scope of application areas is enlarging, as it may be obvious for all of you who have recently tried to talk to (yes, the phrase is correct!) virtual assistants such as Samsung's Bixby, Apple's Siri or Amazon's Alexa.Counseling and companionship are the new functions that are expected to emerge from generating voices that express emotions. The creative process will be streamlined by the newly acquired possibility to change content without the need to re-record original voices.This article does not necessarily reflect the opinions of the editors or management of EconoTimes.Source: econotimes.com.

Code[ish]
99. The Technical Side of Deep Fakes

Code[ish]

Play Episode Listen Later Dec 1, 2020


Julián Duque is a Lead Developer Advocate at Salesforce and Heroku, and he's continuing a previous discussion with some members of Respeecher. Respeecher has created AI software which works within the speech-to-speech domain: it takes one voice and makes it sound exactly like another. Dmytro Bielievtsov, its CTO and co-founder, explains the practical uses of the software, such as re=recording the lines of an actor who is unavailable, or bringing historical figures to life in a museum. In terms of sophistication, there are quite a few speech ML models already available on the Internet. The best source of audio to duplicate the speech patterns of a famous person is to grab an audiobook and pass it through one of these pre-existing models. But these models produce outputs which are poor in quality. That's one reason that speech-to-speech is hard to fake. The variation in our mouths and speech patterns, not to mention the emotive qualities, make the process of creating duplicate voices extremely difficult to pull off. One way Respeecher data can't be faked is by the fact that they position themselves as a B2B business, dealing with studios and other large estates which have access to immense amounts of hard-to-acquire sound data. The likelihood of another entity abusing a well-known voice is close to none. Another feature is that the audio is watermarked. Certain "artifacts" are embedded into the audio, which are imperceptible to humans, but easily identifiable by a computer program. There's a consortium of several companies working on synthesized media who strategize in Slack on various ways to keep the tech from being misused. As well, Dmytro believes that there needs to more investment in education, to let people know that such technology exists, and to therefore be a bit suspicious with media they encounter online. Links from this episode Respeecher is a speech-to-speech voice cloning software Google's DeepMind and Tacotron are two popular AI/ML projects Module empowers the future of identity, online safety, and communication through voice Previous episode: 98. The Ethical Side of Deep Fakes

Verily Podcast
Never open herpes dot exe

Verily Podcast

Play Episode Listen Later Feb 10, 2019 42:24


Technology has it's ups and downs, especially in our age of Artificial intelligence and poor internet security. Jacob finally gets to let out his steam on app-based restaurants, Irene teaches us about the Internet of Shit, and then we talk a lot about every way AI might improve our daily lives. The talkative text-to-speech robot is called Tacotron 2 and its samples can be found here: https://google.github.io/tacotron/publications/tacotron2/index.html The spreadsheet on brilliant AI without regards for common sense can be found here: https://docs.google.com/spreadsheets/u/1/d/e/2PACX-1vRPiprOaC3HsCf5Tuum8bRfzYUiKLRqJmbOoC-32JorNdfyTiRRsR7Ea5eWtvsWzuxo8bjOxCG84dAg/pubhtml And if you want to see the picture of Irene in a dough bowl hat, your best bets are on twitter: https://twitter.com/VerilyPodcast or on Facebook: https://www.facebook.com/VerilyPodcast/

Alex Exum's The Exum Experience Talk Show
Audio Quiz on Today's Show - Artificial Intelligence Podcast Hosts Will Robots Take Over Podcasting

Alex Exum's The Exum Experience Talk Show

Play Episode Listen Later May 11, 2018 13:11


Google’s voice-generating AI is now indistinguishable from humans; Will Robots Take Over Podcasting?Creepy Google A.I. Assistant Calls Local Businesses and Fools Everyonehttps://www.spreaker.com/user/exum/creepy-google-a-i-assistant-calls-local-Deleting Google from My Life, Easier Said than Donehttps://www.spreaker.com/user/exum/deleting-google-from-my-life-easier-saidThe HohO Showhttps://www.spreaker.com/show/jared-hohensteins-showWill you buy a t-shirt?www.alexexum.com

Alex Exum's The Exum Experience Talk Show
Audio Quiz on Today's Show - Artificial Intelligence Podcast Hosts Will Robots Take Over Podcasting

Alex Exum's The Exum Experience Talk Show

Play Episode Listen Later May 11, 2018 13:11


Google’s voice-generating AI is now indistinguishable from humans; Will Robots Take Over Podcasting?Creepy Google A.I. Assistant Calls Local Businesses and Fools Everyonehttps://www.spreaker.com/user/exum/creepy-google-a-i-assistant-calls-local-Deleting Google from My Life, Easier Said than Donehttps://www.spreaker.com/user/exum/deleting-google-from-my-life-easier-saidThe HohO Showhttps://www.spreaker.com/show/jared-hohensteins-showWill you buy a t-shirt?www.alexexum.com

The All Turtles Podcast
014: Pillow Fort Apache, The Bronx

The All Turtles Podcast

Play Episode Listen Later Feb 7, 2018 49:52


We kick off the show with a call for listener suggestions to select our first read for The All Turtles Book Club. Phil Libin, Jessica Collier, and Blaise Zerega then dive into a “Maybe it's kinda bullshit?” segment on patents, asking whether they've outlived their usefulness. Your hosts also try to distinguish between human and AI-generated voices. This week's listener questions lead to revelations about Phil's 100,000 unread emails, Jessica's knowledge of container ship videos, and whether Blaise is named for St. Blaise or Blaise Pascal. Show notes Listener suggestions for the All Turtles Book Club (1:30) Magic and Loss: The Internet as Art by Virginia Heffernan The Spirit Level: Why Greater Equality Makes Societies Stronger by Richard Wilkinson and Kate Pickett Safety: Car Crashes Pose Greater Risk for Women by Nicholas Bakalar, New York Times How Music Works by David Byrne Patents: Maybe they're kinda bullshit? (4:24) U.S. Constitution, Article One, Section Eight: [The Congress shall have power] “To promote the progress of science and useful arts, by securing for limited times to authors and inventors the exclusive right to their respective writings and discoveries.” United States Patent and Trademark Office First U.S. Patent issued in 1790 Patent kings: The world's 50 most innovative companies (USA Today) Apple was Granted 39 Patents Today covering Facial Recognition and the iPad Pro's Smart Keyboard Connector and more (Patently Apple) Human voice or AI-generated voice? (18:17) Google's voice-generating AI is now indistinguishable from humans (Quartz) Fake Voices Will Become Worryingly Accurate (The Rand Blog) Wieland: or, The Transformation: An American Tale by Charles Brockden Brown, published 1798 Audio samples from Tacotron 2 (Google's Github page) Uncanny valley (Wikipedia) Love in the Time of Robots (Wired) Interrobang in punctuation Lyrebird.ai Listener questions How might AI be used to filter signal to noise? (36:00) Screenshot of Phil Libin's 100,000+ unread emails: Clapping during President Trump's State of the Union address Will All Turtles expand to Vancouver, British Columbia? (43:06) Containers podcast by Alexis Madrigal How do you spend your Sundays? (45:30) We want to hear from you Please send us your comments, suggested topics, and questions for future episodes: Email: hello@all-turtles.com Twitter: @allturtlesco with hashtag #askAT For more from All Turtles, follow us on Twitter, and subscribe to our newsletter on our website. Thanks for listening  

Y. Karp? Why Not!
Episode 21: Look Who's Talking

Y. Karp? Why Not!

Play Episode Listen Later Feb 3, 2018 8:17


What's next in text-to-speech? In December 2017, Google presented a paper that showed a new technological advance in text-to-speech. Until now, Google says, pre-recorded words stitched together doesn’t do the trick. The computerized voice comes off sounding fake. No kidding. The new approach that Google took resulted in Tacotron 2 - a new method of parsing text to speech that can replicate many of the nuances of human speech.

SEO para Google
183: SEO Negativo

SEO para Google

Play Episode Listen Later Jan 22, 2018 19:19


SEO Negativo: https://www.borjagiron.com/seo/seo-negativo/ ¿Qué es el SEO negativo? ¿Cómo sabemos si lo usan contra nosotros? ¿Cómo prevenirlo? ¿Cómo solucionarlo? 22/01/2018 Grupo de Telegram para bloggers: https://www.borjagiron.com/telegram Curso de SEO Gratis: https://www.borjagiron.com/gratis Podrover para leer todas las reseñas del mundo: https://www.borjagiron.com/podrover Curso SEO para bloggers (con herramientas SEO): https://www.triunfacontublog.com/curso/seo Herramienta de email marketing recomendada https://www.borjagiron.com/mailrelay Enlaces negativos: https://www.borjagiron.com/seo/tipos-de-enlaces-seo/ https://es.quora.com/Qu%C3%A9-debo-hacer-para-hacer-SEO-negativo-en-mi-web-y-que-no-me-esp%C3%ADe-la-competencia El SEO Negativo consiste en aplicar técnicas de SEO que penalicen a un competidor. Algunos ejemplos podría ser la compra de enlaces de baja calidad que apunten a algunas páginas en concreto. El uso de spam en comentarios de blogs con enlaces a una URL de la competencia. Países como Rusia o China El dar de alta webs en directoiores de enlaces penalizados. Enviado el fichero disavow en Google Search Console para indicar a Google los enlaces que no debe tener en cuenta Hackear tu servidor y añadir un disallow en el robots.txt aunque tiene fácil solución actualizándolo y cambiando la contraseña. Robot que haga creer a Google que publica antes que tú y por tanto tú eres el que copia. Temas o plantillas o plugins piratas con enlaces a webs de casinos. Web hackeada. Caídas de servidor constantes con ataques DDOS de fuerza bruta. Cómo saber si están usando SEO negativo hacia nuestra web 1. Caída de las visitas 2. Aumento de enlaces de baja calidad 3. Descripciones sin contenido. 5. Usando plantillas y plugins piratas 6. Mal servidor 7. Caída de posiciones. Cosas raras en Google Cómo prevenir un ataque de SEO Negativo 1. Revisando de las visitas de forma periódica 2. Revisando los enlaces con Herramienta SEO https://www.borjagiron.com/seo/mejores-herramientas-seo/ (Metricspot, XOVI...) 3. Revisando el robots.txt que no cambie 4. Añadiendo alertas en GA y uptimerobots 5. Usando plantillas y plugins comprados y todo siempre actualizado 6. Buen servidor Cómo solucionar un ataque de SEO Negativo 1. Si es por enlaces de baja calidad: Mandar un disavow a Google para decir a Google que enlaces no tenga en cuenta (Ver herramientas SEO) 2. Si es robots cambiar contraseña y actualizarlo 3. Cambiando la plantilla y desinstalando plugins. Instalación de cero e importar contenidos... 4. Cambiando de servidor. Hablando con el soporte. Cada vez es más dificil ya que Google no tiene en cuenta casos puntuales siempre que se solucionen de una forma rápida. 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Soy Vilma Núñez y puedo ayudarte - Noticia de la semana: https://searchengineland.com/new-search-quality-raters-guidelines-google-assistant-voice-search-evaluations-289114 La nueva calidad de búsqueda califica las pautas para el Asistente de Google y las evaluaciones de búsqueda por voz Google tiene evaluadores de calidad específicamente para resultados de búsqueda relacionados con la búsqueda por voz. Estos evaluadores buscan información, satisfacción, duración, formulación y elocución. Google ha publicado en el blog de Google Research las directrices de calificadores de calidad de búsqueda , directrices de los contratistas para evaluar los resultados de búsqueda de Google, específicamente para el Asistente de Google y los resultados de búsqueda por voz. Es similar a las pautas de calidad de búsqueda web, pero cambia en cuanto a que no hay una pantalla que observar al evaluar dichos resultados; en su lugar, está evaluando las respuestas de voz del Asistente de Google. Google explicó: "El Asistente de Google necesita sus propias pautas, ya que muchas de sus interacciones utilizan lo que se llama 'tecnología sin ojos' cuando no hay pantalla como parte de la experiencia". Google ha diseñado algoritmos y aprendizaje automático para intente hacer que las respuestas de voz y las "respuestas sean gramaticales, fluidas y concisas". Google dijo que le piden a los evaluadores que se aseguren de que las respuestas sean satisfactorias en varias dimensiones: Satisfacción con la información: el contenido de la respuesta debe cumplir con las necesidades de información del usuario. Longitud: cuando una respuesta mostrada es demasiado larga, los usuarios pueden escanearla visualmente y localizar la información relevante. Para las respuestas de voz, eso no es posible. Es mucho más importante garantizar que proporcionamos una cantidad útil de información, con suerte no demasiado o muy poco. Algunos de nuestros trabajos previos se usan actualmente para identificar los fragmentos de respuestas más relevantes. Formulación: es mucho más fácil entender una respuesta escrita mal formulada que una respuesta no gramatical, por lo que se debe tener más cuidado para garantizar la corrección gramatical. Elocución: las respuestas verbales deben tener una pronunciación adecuada y prosodia. Las mejoras en la generación de texto a voz, como WaveNet y Tacotron 2 , están reduciendo rápidamente la brecha con el rendimiento humano. 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MIXEDCAST: Podcast über VR, AR, KI
VRODOCAST #73: Sprach-KI, Täuschungssticker und unsichtbare Stunden

MIXEDCAST: Podcast über VR, AR, KI

Play Episode Listen Later Jan 6, 2018 29:39


Künstliche Intelligenz lernt besser sprechen, lässt sich dafür aber von einem einfachen Sticker austricksen. Sven erzählt über das VR-Spiel The Invisible Hours. Neue Sprachausgabe: Google-KI klingt wie ein Mensch Googles KI-basierte Sprachsynthese Tacotron 2 verwandelt Text in Sprache. Das ist noch nicht neu, mit dem Google Assistenten kann man seit Jahren Gespräche führen. Neu ist, dass die Sprachausgabe jetzt kaum mehr vom Klang einer menschlichen Stimme zu unterscheiden ist. Google stellte einige Audiovergleiche zwischen Mensch und Computer online, bei denen man die Roboterstimme nicht mehr verlässlich heraushören kann. Die Forscher evaluierten Tacotron 2 mit dem sogenannten "Mean Opinion Score" und erzielten auf einer Skala von 1 bis 5 einen Wert von 4,525 – eine reale Sprachaufnahme eines Menschen erreicht im Schnitt einen Wert von 4,58. Google-KI klingt wie ein Mensch: https://vrodo.de/neue-sprachsynthese-google-ki-klingt-jetzt-wie-ein-mensch/ Simpel-Hack: Einfacher Sticker bringt Bildanalyse-KI aus dem Tritt Google-Forscher zeigen in einem Experiment, dass eine für Bildanalyse optimierte Künstliche Intelligenz mit einem Spezialsticker getäuscht werden kann. Der Sticker wird von einer Gegner-KI nach dem Versuch-und-Irrtum-Prinzip entwickelt, bis die Bildanalyse-KI auf das Motiv anspringt. Sobald der Sticker in einer Szene auftaucht, richtet die KI ihren vollen Fokus darauf - und vergisst ihr eigentliches Analyseziel. Der Sticker kann der KI jedes erdenkliche Motiv vortäuschen, so wird beispielsweise aus einem Gewehr mit Sticker ein Toaster. Die Google KI-Forscher warnen explizit davor, dass so ein Sticker unkontrolliert offline verbreitet und von jedermann genutzt werden könnte. Sticker-Hack für KI-Systeme: https://vrodo.de/kuenstliche-intelligenz-ki-hack-fuer-jedermann-mit-einem-bunten-sticker/ The Invisible Hours: Klärt den Mord an Nikola Tesla auf The Invisible Hours spielt gegen Ende des 19. Jahrhunderts: Eine kleine Gesellschaft findet sich in Nikola Teslas Villa ein, findet jedoch kurz darauf nur noch die Leiche des genialen Erfinders. Der Spieler schlüpft in die Rolle eines geisterhaften Beobachters, der in den folgenden Stunden den Ereignissen im Haus unbemerkt beiwohnen und in den zahlreichen Zimmern durch Beobachten und Zuhören den Mörder identifizieren muss. Dank einer magischen Uhr kann der Hausgeist den Fluss der Zeit umkehren und Ereignisse wiederholt in Gang setzen, um alle Einzelheiten aufzudecken. Sven erzählt, ob er mit dem VR-Mystery-Thriller Spaß hatte. Die zehn besten Mystery-Games für VR: https://vrodo.de/virtual-reality-die-zehn-besten-spiele-fuer-halloween/