Whenever you Google Deeptech or Deepfake, you'll find that the most prominent results are about how this technology is not safe and about how celebrities' fake voices and videos have been used for misleading activities like forgeries and other malicious activities.

This will eventually make you think oh god that’s not safe, and it’s totally okay, this article in any sense is not to whitewash the image of Deepfakes or Audio Deepfakes when it comes to data security risks as we all know that those stories are also true!

Additionally, there is no doubt that this technology can also have a positive impact on a wide range of industries including entertainment, film, marketing, healthcare, online media, and customer service when utilized correctly.

There are two ends to every invention, whether it helps humans or robs them of their identity. It’s upon the intention with which they are made and how our company Deepsync understands the good and bad of this technology.

We're going to dig deeper into the ethical uses of this tech and get a closer look at how Deepsync is making AI available to everyone without putting their identities or voices at risk.

The Existence of Voice Cloning and Deepfakes throughout History

There is nothing new about the phrase 'voice cloning' or 'deepfake' and you will soon find out that they are nothing new.

In 1779, Russia was the first country to record the first original recordings of mimicking the sounds of human voices. The St. Petersburg-based professor Christian Kratzenstein made an acoustic resonator called a vocal tract imitator which was activated using vibrating reeds (much like the reeds of wind instruments), that produced sounds that felt similar to the human voice.

A significant breakthrough was made in 1838 when Willis made the discovery that specific vowel sounds can be associated with specific internal organs in the vocal tract, which was a groundbreaking discovery.

Alexander Graham Bell and his father were inspired by this discovery and as a result, they built a talking machine by the end of the 19th century.

A product called VODER (Voice Operating Demonstrator), a voice synthesizer that was represented at the 1939 New York World's Fair, was created by Homer Dudley. Based on the same type of infrastructure as present devices, VODER possessed a lower level of quality and speech intelligibility.

It was in 1968 after several formant synthesizers had been developed, for example, PAT (Parametric Artificial Talker), OVE (Orator Verbis Electris), and some primitive articulatory synthesizers such as DAVO (Dynamic Analog of the Vocal tract), that Noriko Umeda and his colleagues took the first step towards producing the first full text-to-speech system in Japan for English.

The devices were now capable of producing understandable speech from this point on. For speech synthesis in the 1980s and 1990s, neural networks and hidden Markov models were heavily used in an attempt to create more complex sounds similar to human speech.

Voice Cloning: Where Are We Today?

Today's voice synthesis systems rely on deep learning and Generative Adversarial Networks (GANs). Several companies offer premade cloned voices, as well as the option to have your own voice cloned, but the key difference is the audio quality and how realistic and natural synthesized speech sounds.

As a company, our goal was to design a voice cloning solution that produced studio-quality AI speech with exact tone accents and flow, along with professional studio features like adding background music, mixing, etc.

Giving users full creative control over their AI voice so they can create audio content in a way that fits their preferences.

Check out these videos which compare original and cloned audio in the Hindi and English languages, see for yourself how well our voice cloning solution preserves the originality of a natural human voice.

Use Cases for Ethical Voice Cloning for Individuals and Enterprises with Deepsync

  1. Voice Cloning For Online Media: How Does It Work and What Are The Benefits?

  2. Enhancing the End-User Experience with Host's Cloned Voice

Using replicated voice to produce audio content is an incredibly convenient and enjoyable experience for individual users. In addition to this, the organizations that implement it are experiencing a lot of growth too.

Furthermore, it offers immense benefits for those with visual impairments, disabilities, or the elderly - all of whom may have difficulty navigating touch-based interfaces.

Synthetic speech and voice cloning, furthermore, may even be able to offer those who have lost their voices a second chance to speak - and this time in their own voice as well. It is truly amazing and will definitely make a huge impact on your life in the future.

A significant number of benefits can be obtained from AI-powered voice technology - and these are only a few.

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Audio Data and Identity Security for Individuals and Enterprises with Deepsync

For Individuals:

How do you secure my voice? Aren't so-called Deepfakes taking over the Internet?

As a company serving our customers, we are dedicated to your Privacy and Security. Some of the steps we take are:

  • We ask for a consent letter to ensure you are fully on board.

  • We store your data securely and you can request deletion of your AI model whenever you wish.

  • We share with you a SaaS agreement covering all points necessary for you to use Deepsync.

  • For more, please refer to our Privacy Policy and Terms of Use.

Where do I learn more about the steps you take to ensure privacy and security?
Please refer to our Security and Privacy guide here ↗️

Where do I learn more about Deepfakes and the steps for combating them?
Please refer to our Deepfakes guide here ↗️

For Enterprises:

When it comes to your voice and media data, Deepsync takes security and privacy as the number one priority to ensure you a reliable service. Here are some of the key steps we take to ensure hosts’ and journalists’ accounts and voices:

👤 Voice and Video consent: When onboarding your voice artists onto the platform, Deepsync requests consent in form of voice and occasionally video (for top-priority voices). The artist must record a short paragraph in a studio-like environment, which Deepsync later matches with the provided audio data.

Only once they match, does Deepsync allow the use of the voice by the company. This process is partially automated.

🛡️ Encryption of AI Models and Data: At no point in time the data is exposed as raw information on any of our servers but is fully encrypted as per the highest standards.

🌎 Regional Data Servers: For companies based in the US, Deepsync works with only US-based cloud providers for training and hosting purposes, so your audio and other important data never leaves the country.

☝️ Voice Deletion: Deepsync provides the option to delete your AI voice model anytime on request. We might require further information before deletion depending on high-priority voices.

📄 SLA Agreements: If you are working with Deepsync on an Annual plan, Deepsync will share with you an SLA Agreement underlying all the important clauses regarding our engagement and security aspect of your account.

🤝 Compliances: Deepsync is currently in the process of strengthening its operations by working with trusted partners on SOC 2 and ISO 270001 Compliances for global security.

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Conclusion

There are good and bad ways to use every invention and product, as we mentioned in the introduction.

It all depends on what inventors or service providers do to make sure their product or service meets the needs of their users and does not pose any security risks to them. Even more so when it comes to Deeptech!

As a result, Deepsync strives to deliver the best ethical AI experience that helps individuals and enterprises create audio content with their synthetic voice without worrying about their voice being misused.

It is not only our features been designed in a way to accommodate the needs of our users allowing them to freely use their AI voice, but it is also our privacy and data protection policy that has been designed to provide users with the same experience.

Deepsync Users have the right to their AI voice and audio data with everything being done with their consent.

To learn more about how Deepsync works checkout our guides

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Read More

  1. Deepsync's REST API enables News Media Enterprises to produce 100's and 1000's of audio content in minutes.

  2. Deepsync API for Enterprises

  3. Creating dynamic podcast ads with your AI voice

  4. Voice-over narration: How media enterprises can use AI voiceover narration effectively in content

  5. 6 Ways AI is Solving Your Podcast Production Problems

  6. Making use of AI audio in content marketing

  7. Produce voiceovers with the AI voices of journalists in minutes for multiple social channels.

  8. How Voice Cloning helps Media Enterprises Overcome the Language Barrier

  9. What Online Media Enterprises Need to Know about AI Voice Over

  10. Does Your Enterprise Spend Too Much Time and Resources on Audio Production?

  11. Give blogs your voice with AI: Short Podcast production with minimal effort

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