What is voice cloning?

Voice cloning is the name of the process that allows artificial intelligence to create a cloned or copied version of a natural human voice.

When done well, the natural and synthetic voices are confusingly similar. Often this cloning model is applied to voices for text-to-speech technologies.

More commonly known is the term voice cloning as “Deepfake voice”.

How exactly does cloning a voice with AI work?

When a speaker wants to clone his voice synthetically, he must first record a large amount of audio material. This is used to create a dataset of all the nuances of his voice. Certain audio specialists develop the cloned voice through a network of virtual neuron connections. The process takes a lot of time and effort – yet the results are baffing.

Step 1 – speaker selection

The central component is an extensive collection of audio samples of human speech, and it is important that these audio recordings are of high quality. We recommend choosing a speaker who has experience with this type of recording and having the recordings done by a sound engineer with professional equipment.

Have in mind that the target group likes the selected voice and speaking style – it will represent your company.

Step 2 – transcript creation

As said the cloning model often is applied to voices for text-to-speech technologie. In this case the transcript is the written part and necessary for the voice cloning. A transcript is a collection of sentences and utterances that must be spoken by the speaker.

If you produce a voice clone with BotTalk, we will take care of the transcript based on your content.

Step 3 – recordings

Each audio file should contain a single sentence, which is delivered in the transcript. All files must be in the same spoken language and style. We recommend defining a speaker persona beforehand. This document defines elements such as the characteristics of the voice and the character behind the voice. This helps to guide the process of creating a voice clone and your expected result. Important is that the recordings must match the corresponding transcript by 100%. Errors in the transcripts will lead to loss of quality during the training.

Step 4 – processing

When the data set of the transcript and recordings are ready, the processing can begin. Audio specialists will process through a neural network and create a voice clone. After every iteration, you will receive a voice sample to review the quality of the voice. If the quality is too low, you provide fewer voice data, and the audio specialist team will need further recordings. Through this process, they can directly participate in the development and follow the training of the voice clone.

Where is voice cloning used today?

Film & Television Industry

The voices of actors can be synthesized to facilitate the work of productions. Primarily when an actor records audio for marketing and advertising purposes, their voice clone can be used much more widely. This process saves time and costs and allows the possibility to use that voice in 10 years.

In the last Star Wars movie, the film editors had to painstakingly recreate the character of General Leia Organa after actress Carrie Fisher died during filming.

Imagine how much easier this would be with voice cloning.

Publishiers & News

At BotTalk we produce voice clones for radio stations and publishers.

Our goal is, on the one hand, to develop new voices for accents and dialects that do not exist on the market. On the other hand, to make it possible for publishers or authors to establish a unique brand AI-voice to promote digital content further.

With voice cloning the editorial team can read aloud every single article in your local newspaper. The synthetic voice will sound much more familiar to the listener than a standard synthetic voice. A similar use case is applicable for radio stations to read aloud the weather forecast or traffic information by a synthetic voice.

Education

Voice clones are often used to make life easier for online educators..Their voices can be synthesized to facilitate the work of productions. Once enough audio material is available, the professor can further dub his videos with the help of TTS (and the voice clone) with little effort.

source

Create Your Own AI Animated Avatar: A Step-by-Step Guide

• Links: ChatGPT for script creation: https://chat.openai.com/chat
• MidJourney for image generation: https://www.midjourney.com
• Elevenlabs for audio generation: https://beta.elevenlabs.io/
• D-ID for video generation: https://studio.d-id.com/

Have you ever wished you could clone your voice? Now there’s no need to wish, because the era of voice cloning has arrived! In this blog post, we’ll take a look at what voice cloning is and how you can get your very own voice clone. So read on to find out more!

What Is Voice Cloning?

Voice cloning is the process of creating a digital copy of someone’s voice. In the past, this could be done using voice recognition software or by recording the person’s voice and then using that recording to create a digital copy. Today, however, it is possible to get your voice cloned really easily with an AI-powered platform like Podcastle. But before we tell you how Podcastle works, let’s understand how long has voice cloning been around?

The truth is voice cloning has been around for many years. The first voice cloning technology was created in 1998, and since then the technology has continued to develop and improve.

In general, if you have really strong technical skills there are a number of ways to create a voice clone. One of the most popular methods is to use voice recognition software. This software can be used to create a digital copy of someone’s voice by recording them speaking and then analyzing their speech patterns.

Another way to create a voice clone is by recording the person’s voice and then using that recording to create a digital copy. This method involves manually creating a digital copy of the person’s voice by cutting out snippets of their speech and then piecing them together like a puzzle.

Both of these methods require some technical skill, but there are also a number of services that offer cloned voices for hire. These services use professional voice actors to recreate someone’s voice, so they can be used for audio books, phone greetings, or any other purpose where an exact replica of someone’s voice is required.

The best news is that now you don’t even need to spend a fortune on hiring professional voice actors to recreate your voice or the voice of someone else, which honestly, will not even sound too similar to the original voice. In this article, we’ll tell you how to clone your voice yourself using Podcastle’s voice cloning technology.

But why would you really want to get your voice cloned? What are the benefits of voice cloning? Let’s find out:

Podcastle Team

In the second installment to our deepfake voice series, we will explore voice cloning by defining what it is, how it works, and the benefits of this new technology. As we progress through this series, we’ll delve into more detail on synthetic voice content, how you can create one, and ways to address the issues of ethical use and deepfake fraud.

In this blog, we’ll be covering these following areas:

• What is voice cloning?
• How is voice cloning possible?
• What are the benefits of voice cloning?
• What is the best voice cloning application?

What is voice cloning?

Voice cloning is often tossed around with other terms, such as deepfake voice, speech synthesis, and synthetic voice, that have slightly differentiated meanings. Voice cloning is the process in which one uses a computer to generate the speech of a real individual, creating a clone of their specific, unique voice using artificial intelligence (AI).

Text-to-speech (TTS) systems, which can take written language and transform it into spoken communication, is not to be confused with voice cloning. TTS systems are much more limited from the outputs they produce compared to voice cloning technology, which is really more of a custom process.

With a TTS system, the training data, the key component to any synthetically created media, informs the production of a voice output. In other words, the voice you hear is the one that was given in the data set.

Now, with the introduction of voice cloning AI technology, that changes. Methods have been put in place to provide deeper analysis and extraction of the characteristics of a target voice. These attributes can then be applied to different waveforms of speech, allowing someone to change the speech output of one voice to another.

How is voice cloning possible?

Thanks to advancements in artificial intelligence (AI), particularly deep learning, a subset of machine learning underneath the umbrella of AI, we’ve been able to produce accurate replications of a voices. But this only made possible by two things:

• Powerful hardware with cloud computing capabilities to process and render in a timely and efficient manner
• Extensive training data of the targeted voice from which models can leverage to create an accurate voice clone

With the proper AI and developmental expertise and tools, it really comes down to the latter. You need a large amount of recorded speech to have enough data to train the voice model. The information around the voice is stored in an embedding, a fairly low-dimensional space where you can translate discrete variables into high-dimensional vectors.

In other words, it makes it easier to work with large inputs with machine learning models. For the sake of not getting too technical, we’ll leave it at that, but feel free to dive deeper into the subject if that interests you.

What are the benefits of cloning your voice?

Let’s start with the good. There are plenty of potential use cases for voice cloning that often become overshadowed by the negative uses, which we will address in a second. Some of the positive applications of technology include:

• Increase advertising and sponsorship opportunities for voice personalities, celebrities, and influencers
• Help companies work with talent during their busiest times of the year, such as football season for players or coaches
• Revive voices from the past for use in entertainment to help tell a story in documentaries, movies, and TV shows
• Diversify broadcast content for repeat content such as weather reports or sports updates
• Localize content so that it can be heard in the host or narrators voice in another language

These are just some of the positive uses for voice cloning, and as the technology continues to evolve, more will emerge. But of course, everything hinges on the ethical use of someone’s voice. That’s why the need for a movement towards the standardization of the approval process is so imperative to protect everyone’s voice and ensure they have complete control over how it’s used.

What’s the best voice cloning app?

To narrow down your search to find the best voice cloning applications you should first determine what you are looking for. Do you need something that’s more for text-to-speech output? Or do you need something more custom?

Once you’ve figured out why you need a voice cloning application, you should then hone in on three key criteria:

1. Output quality: you’ll want to make sure that the output is authentic sounding and meets your prescribed needs. Usually, they will have samples of what the product can do. If not, you should consider asking for a demo, if available, to determine how human their product sounds.
2. Intuitive interface: how easy is it to use the application? Is it hard to find things when you’re in the app or can you navigate and use it to meet your needs? Again, this can be determined by product videos, marketing content, and a demo.
3. Voice protections: you’ll want to make sure that the company follows ethical uses of voices. If it’s a custom service requiring training data, then it’s important to inquire about data protections and how a voice, when created, won’t be used improperly.

The ethical implications around voice cloning are the nexus of Veritone Voice, our voice-as-a-service application. Built within the framework of the application are the levers to give users control over their voice, enabling the proper protections so that they decide who can use their voice. This helps us deliver our custom voice-as-a-service solution to enable a complete white glove experience for the talent we work with.

In the next chapter in this series, we’ll be discussing Text-to-Speech (TTS) AI and how it’s related to voice cloning.

ETHAN BAKERDIRECTOR OF CONTENT DEVELOPMENT, VERITONE

What is Voice Cloning and How Does It Work?

Voice cloning is a technology that imitates a person’s voice and replicates it to use for voice assistance. Traditionally, cloning a voice requires hours of recorded speech to build a collection of datasets that can be used to build a new voice model. However, now it’s possible in seconds!

With Voice.ai, it’s possible in a matter of seconds. Voice.ai’s Voice Universe users have captured high quality voices to build a library of over 4000 user-generated characters. As a result, the software can analyze, modulate and correct anyone’s voice before turning it into a pre-selected, A-list celebrity impression in real-time. Voice cloning can enhance your live-stream, group chat or gaming experiences like never before.

An Ever-Growing Library of Voices!

Try the Voice AI voice changer and get ready to be amazed by how realistic the voices sound. We use deep learning technology to create realistic AI voice clones that sound exactly like an impression of anyone in the world; whether it’s your favourite reality star, game character, celebrity or cartoon character. Our Voice Universe community of contributors are training incredible voices every day to create hyper-realistic replicas that sound exactly like the real person! Browse through our ever-expanding library and flick through different voices to sound scarier, funnier, younger, older, smarter or just plain obnoxious – all by simply changing the AI voice character.

The Voice.ai real-time AI voice changers works for all sorts of games: Among Us, World of Warcraft, Minecraft, CS:GO, League of Legends, PUBG, Rust, GTA V, Second Life, Valorant and applications: Discord, Skype, Google Meet, Zoom, WhatsApp, Teamspeak, OBS and practically every other Windows app or client!

Voice.ai

In a bid to sound more like humans, artificial intelligence (AI) is all set to break new records, literally. A new technology, called ‘Voice Cloning’ is replacing the robotic tonality of virtual assistants with natural human voices. Voice cloning with artificial intelligence can master unique human voices to make chatbots, video clips, and other interactions more intuitive and engaging.

In this article, we take a closer look at how deep learning and AI development services power voice cloning to build effective business solutions.

The Science Behind Voice Cloning with Artificial Intelligence

AI’s underlying technologies, machine learning and deep learning have constantly demonstrated significant potential for text-to-speech (TTS) interactions, also called speech synthesis. The technology when coupled with speech recognition becomes the backbone for virtual assistants such as Siri, Alexa, and the likes. However, providers of chatbot development services still struggle at eliminating the robotic tonality associated with voice-controlled assistants.

With voice cloning, deep neural networks are moving a step closer to quality, interactive, personalized, and highly intuitive human-chatbot interactions.

A recent research paper, Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis by Jia, Zhang, and others introduce an arguably earlier and more efficient way for voice cloning. The paper proposes a new technique, Speech Vector to TTS (SV2TTS) that generates near-similar speech audio using only a few seconds of a sample voice. Unlike highly expensive traditional training methods that required several hours of professionally recorded speech, SV2TTS can-

a) Clone voices without excessive training or retraining

b) Produce high-quality audio results, and

c) Synthesize natural speech from speakers unseen during the training.

As visualized in the above model overview, the SV2TTS system comprises of three independently trained components, including-

1) Speaker Encoder Network

In the first stage, the speaker encoder takes an audio sample fro a single speaker as input to derive an embedding. Representing the speaker’s voice, the embedding captures the unique characteristics such as high/low pitched voice, tone, and accent with high similarity using only a short audio file.

2) Synthesizer

Synthesizer constitutes the second phase of the SV2TTS model that involves text analysis to create mel spectrograms, wherein the sound frequencies are converted into mel scale. The synthesizer combines the smallest units of human sounds, called phonemes with the embeddings to me spectrogram frames.

Here’s how the synthesizer works with inputs in different voices using the SV2TTS model.

3) Neural Vocoder

Until the final phase, the system has only produced a mel spectrogram but no audio output to test. Therefore, the proposed model employs neural vocoder to convert the mel spectrogram into raw audio waves.

The foundations of this model are laid in transfer learning, wherein the training phases of each component are separated to minimize training data requirements. The system not only eliminates the need for speaker identity labels but also discards high-quality clean speech for training purposes.

Now that we are thorough with the workings of voice cloning with artificial intelligence, let’s explore some business use cases of the model.

Enterprise Applications of Voice Cloning with Artificial Intelligence

1) Online Learning Courses

In the wake of continuing nation-wide lockdown to contain the COVID-19 outbreak, online learning is gaining steam among students. The new normal is increasingly propelling demand for high-quality intuitive digital content complemented by audio notes or ebooks to assist students.

Providers of virtual classes and informative video content can significantly benefit from voice cloning to produce interactive content with minimum operational costs.

Voice cloning with artificial intelligence can ease the burden of recording audio notes for every new session or retaking due to mistakes. It can significantly transform the way teachers impart knowledge to students in the form of professionally recorded lectures, complex topics, and other educational materials.

2) Virtual Assistants

Another business use case of ai-powered voice cloning is emerging in the form of interactive virtual assistants. The technology opens new opportunities for a range of businesses like education, healthcare, eCommerce, and other to

a) Personalize voice-controlled interactions to enhance customer experience

b) Add a familiar voice to healthcare services for comforting the patients

c) Boost customer engagement with audible product descriptions

d) Deliver a professional new reading speech, and much more.

Experience Voice Cloning with Artificial Intelligence at Oodles

We, at Oodles AI, are constantly working with emerging technologies to build effective enterprise-grade AI solutions. With experiential knowledge in deploying machine learning-based chatbots and virtual assistants, our team is now exploring the applications of voice cloning.

Our ability to deploy efficient speech recognition and speech synthesis models using natural language processing algorithms expands our capabilities to build-

a) AI-powered voice cloning models for online learning platforms

b) Standardized voice-controlled interactions through healthcare chatbots

c) Sophisticated audio for ebooks, articles, and more.

Oodles AI is the artificial intelligence (AI) development team of Oodles Technologies. We are a team of seasoned AI developers working on next- gen technologies and applications. Our AI services include a wide spectrum of machine learning and deep learning techniques to build industry- specific AI solutions for our diverse clientele. We constantly explore innovative AI applications to automate critical business operations across eCommerce, healthcare, customer support, and other global industries. We aim to deploy AI technologies to improve bottom lines with business intelligence and process automation

Connect with our AI team to know more about our artificial intelligence services. Sanam Malhotra

This Article was updated with a list of Competitors 

Comparing the Best Computer Voice Generators

Voice.ai

Play.ht

Azure.microsoft.com 

Murf.ai

Vall-e.io

Bottalk.io

uberduck.ai

Voicemod.net

Veritonevoice.com

Podcastle.ai

Resemble.ai

My Own Voice

Lovo.ai

Descript.com

Cereproc.com

Whisper

Spik.ai

Respeecher

Speechify

Speechelo

Synthesys.io

Spik.ai

Bigspeak.ai

Replica

Woord

Clipchamp

Voicera

Natural Reader

Search our site for any articles about voice cloning here

below check out our other articles over the years on the topic:

Microsoft’s New AI Can Simulate Anyone’s Voice From a 3-Second Sample

The Rise Of Voice Cloning And DeepFakes In The Disinformation Wars

What is Voice Cloning and How Does It Work?

Ai Voice Cloning : How does it work and where is it used?

Copy That: Realistic Voice Cloning with Artificial Intelligence

The Era of Voice Cloning: What It Is & How to Get Your Voice Cloned

What is Voice Cloning and How Does It Work?