A Canadian start-up has developed a voice imitation programme capable of mimicking a person's voice after just a minute of listening to them speak. Developed by AI firm Lyrebird, the algorithm uses machine learning to synthesise speech based on audio samples and is even able to replicate emotion. Lyrebird's algorithm is capable of generating new voices from scratch as well as replicating those of others. After hearing an audio clip, the programme determines the defining feature or "key" to the person's voice and then uses this to generate words from scratch. It even varies the intonations it applies so that a repeated sentence doesn't sound the same way twice.

Note: 3.8/5 (137 notes) 22,043 students Welcome to experience the course "Digital Voice Cloning using Artificial Intelligence in 2022". Voice cloning technology on the Internet today is relatively accessible. This course focussed on "Digital Voice Cloning using Artificial Intelligence (AI) Tools" created by Digital Marketing Legend "Srinidhi Ranganathan" primarily deals with explaining a Montreal-based AI startup named "Lyrebird" which provides an online platform that, when trained on 30 or more recordings, can imitate a person's mimic speech. Lyrebird is an AI research division within Descript, currently and the team is building a new generation of tools for media editing and synthesis that make content creation more accessible and expressive. Sounding to be a wow factor, this new neural voice cloning technology from Lyrebird (that is discussed in the course) synthesises the voice of a human from audio samples fed to it.

Welcome to experience the course "Digital Voice Cloning using Artificial Intelligence in 2022". Voice cloning technology on the Internet today is relatively accessible. This course focussed on "Digital Voice Cloning using Artificial Intelligence (AI) Tools" created by Digital Marketing Legend "Srinidhi Ranganathan" primarily deals with explaining a Montreal-based AI startup named "Lyrebird" which provides an online platform that, when trained on 30 or more recordings, can imitate a person's mimic speech. Lyrebird is an AI research division within Descript, currently and the team is building a new generation of tools for media editing and synthesis that make content creation more accessible and expressive. Sounding to be a wow factor, this new neural voice cloning technology from Lyrebird (that is discussed in the course) synthesises the voice of a human from audio samples fed to it.

Digital Voice Cloning using Artificial Intelligence in 2021, Create a digital voice that sounds like you from audio samples using the power of Artificial Intelligence (AI) this Year Students also bought Artificial Intelligence A-Z: Learn How To Build An AI Deep Learning and Computer Vision A-Z: OpenCV, SSD & GANs Artificial Intelligence: Reinforcement Learning in Python The Beginner's Guide to Artificial Intelligence in Unity. Preview this Udemy Course - GET COUPON CODE Voice cloning technology on the Internet today is relatively accessible. This course "Digital Voice Cloning using Artificial Intelligence Tools in 2021" created by Digital Marketing Legend "Srinidhi Ranganathan" primarily deals with explaining about a Montreal-based AI startup named "Lyrebird" which provides an online platform that, when trained on 30 or more recordings, can imitate a person's mimic speech. Lyrebird is an AI research division within Descript, currently and the team is building a new generation of tools for media editing and synthesis that make content creation more accessible and expressive. Sounding to be a wow factor, this new neural voice cloning technology from Lyrebird (that is discussed in the course) synthesises the voice of a human from audio samples fed to it.

Know the importance of voice-cloning technology that is far superior compared to TTS (Text to Speech) conversion Clone your voice using Artificial Intelligence Tools like Lyrebird, iSpeech etc. Know about a special cloud tool that can create fictitious voices for audiobooks Know about a special cloud tool that can clone your voice in minutes by uploading bulk fragments of audio to it This course "Digital Voice Cloning using Artificial Intelligence Tools" created by Digital Marketing Legend "Srinidhi Ranganathan" primarily deals with explaining about a Montreal-based AI startup named "Lyrebird" which provides an online platform that, when trained on 30 or more recordings, can imitate a person's mimic speech. Lyrebird is an AI research division within Descript, currently and the team is building a new generation of tools for media editing and synthesis that make content creation more accessible and expressive. Sounding to be a wow factor, this new neural voice cloning technology from Lyrebird (that is discussed in the course) synthesises the voice of a human from audio samples fed to it. Know the importance of voice-cloning technology that is far superior compared to TTS (Text to Speech) conversion Clone your voice using Artificial Intelligence Tools like Lyrebird, iSpeech etc. Know about a special cloud tool that can create fictitious voices for audiobooks Know about a special cloud tool that can clone your voice in minutes by uploading bulk fragments of audio to it

Multimedia editing and transcription provider Descript is today announcing a redesigned version of its audio editing software that's geared toward podcast producers. The product, officially called Descript Podcast Studio, features a lot of the forward-thinking approaches to audio editing the company, created by Groupon founder and former CEO Andrew Mason, was founded on. Most prominently, that includes the ability to easily edit an artificial intelligence-generated transcription of your audio file as if you were editing a word document. Essentially, Descript turns your audio into text, broken up by who's speaking, and it then lets you manipulate those audio files as if you were editing on a text version of the script in a word processor. Delete a sentence or two, and Descript will automatically shorten the file to make the recording sound smooth and natural.

The boom in popularity for podcasting has given a new voice to the world of spoken word content that had been largely left for dead with the decline of broadcast radio. Now riding the wave of that growth, a startup called Descript that's building tools to make the art of creating podcasts -- or any other content that involves working with audio -- a little easier with audio transcription and editing tools, has a trio of news announcements: funding, an acquisition, and the launch of a new tool that brings some of the magic of natural language processing and AI to the medium by letting people create audio of their own voices based on text that they type. Descript, the latest startup from Groupon founder Andrew Mason, created as a spinoff of his audio-guide business Detour (which got acquired by Bose last year), is today announcing $15 million in funding, a Series A for expanding the business (including hiring more people) that's coming from Andreessen Horowitz (it also funded the startup's seed round in 2017) and Redpoint. Along with that, the company has acquired a small Canadian startup, Lyrebird -- which had, like Descript, also built audio editing tools. Together, the two are rolling out a new feature for Descript called Overdub: people will now be able to create "templates" of their voices that they can in turn use to create audio based on words that they type, part of a bigger production suite that will also let users edit multiple voices on multiple tracks.

Thieves used voice-mimicking software to imitate a company executive's speech and dupe his subordinate into sending hundreds of thousands of dollars to a secret account, the company's insurer said, in a remarkable case that some researchers are calling one of the world's first publicly reported artificial-intelligence heists. The managing director of a British energy company, believing his boss was on the phone, followed orders one Friday afternoon in March to wire more than $240,000 (roughly Rs. 1.7 crores) to an account in Hungary, said representatives from the French insurance giant Euler Hermes, which declined to name the company. The request was "rather strange," the director noted later in an email, but the voice was so lifelike that he felt he had no choice but to comply. The insurer, whose case was first reported by the Wall Street Journal, provided new details on the theft to The Washington Post on Wednesday, including an email from the employee tricked by what the insurer is referring to internally as "the false Johannes." Now being developed by a wide range of Silicon Valley titans and AI startups, such voice-synthesis software can copy the rhythms and intonations of a person's voice and be used to produce convincing speech.

With deepfakes receiving a lot of media coverage recently, synthetic media is a trending topic among AI forums and a growing area of machine learning. The possible threats posed by manipulated or synthetic media has caught the attention of government officials and even led to a House of Representatives hearing in June of 2019. Like every new and emerging technology, synthetic media comes with risks. However, companies like Lyrebird are proof that the positive applications of synthetic media outweigh the negative. From chatbots to virtual assistants, research in ASR and higher-quality audio training data have led to some of the most useful tech of the current generation.

Thieves stole over $240,000 by using voice-mimicking software to trick a companys employee. The thieves used an AI voice deepfake of a company executive to get the employee to wire money to an offsite account in what researchers say is the first publicly reported AI heist.If you havent heard by now, AI technology like deepfakes are able to accurately mimic or copy the likeness and sound of real people. This is what happened to one companys managing director who received a call from someone he believed was his superior. The superiors voice told the employee to wire the money to a Hungarian bank account to avoid late-payment fines.According to the companys insurer Euler Hermes, who detailed the events of the heist to The Washington Post, the AI-altered voice was able to imitate the voice, and not only the voice: the tonality, the punctuation, the German accent, of the company superior. The heist was first reported by the Wall Street Journal.