Create Meaningful Engagement in Hosts’ Natural-Sounding Text-To-Speech Voices

A text-to-speech system is one where when you enter a text into an editor and press enter, the text is converted into an audio file that sounds almost robotic but slightly human.

TTS software is well known to us and we have all used it. But lately text to speech is being employed by enterprises to provide an audio experience for their website content such as blogs and guides.

Text-to-speech makes it extremely easy to produce voiceover narration at scale as it is simply a copy-and-paste process where all the text content in the blog or guide is converted into narration audio in the voice of males or females from different ethnicity and regions.

So that enterprises belonging to different countries or regions can provide an audio experience in their respective language flow and tone!

It is possible to find software from large, medium, and small enterprises offering TTS services that promise to produce natural-sounding audio, but we all know TTS just does the task but it cannot sound 100 % human.

It is immediately apparent when we hear a TTS-produced voice that it is offbeat.

Here’s a small example video of how a TTS produced audio sound

Male TTS

Female TTS

We will explore why current text-to-speech solutions fail, as well as the challenges associated with them and why Deepsync voice cloning is the best solution for media enterprises.

Voice Narration in Media Enterprises is not Best Served by Current TTS Solutions

Voice Narration in Media Enterprises is not Best Served by Current TTS Solutions
  1. Not Natural Sounding: With TTS, high-quality Robo-human voices are generated without any emotion or inflections, which results in the text sounding odd and boring.

    Regardless of which expensive service you choose, the output is only slightly different.

    There is no way to obtain audio recordings of every word spoken in every possible combination of emotions, prosody, stress, etc.

  2. Speed Speech: There is a lack of stability in the sound of the speech, it is too fast or too slow, which makes it difficult to follow what is being read or heard.

    Neither there is a vocal pitch correction feature.

  3. One Setting for all Voices: When it comes to text-to-speech, there is only one setting that covers all accents and dialects in English.

    Speeches delivered in different dialects tend to sound more artificial.

  4. Pronunciation analysis is not available: The written text does not allow for pronunciation analysis. The option is not available since no one is speaking out loud.

In your capacity as a member of the production or marketing team for media enterprises, do you believe that artificial voices that carry no emotion can contribute to the creation of meaningful audio blogs that deliver audio first experiences?

Enterprises can indeed convert text to suffice the need for creating an audio blog, but sufficing won't help you create meaningful engagement.

Suppose you had to produce voiceover for social media posts, YouTube videos, or perhaps podcast audio using text-to-speech technology. Are you confident that your audio content will sound professional and natural as per your enterprise standards?

Even though you may purchase high-end TTS for all your content needs, can you promote your media enterprise based on robotic TTS voices on a larger scale?

How can you strengthen brand recall with the current TTS solutions? No, you cannot do that!

That’s why we have developed Deepsync a platform that uses AI to clone human voices with 95% accuracy in tone, flow, and accent making the AI voices sound exactly the same!

This video contains cloned audio derived from 3 hours and 10 minutes of audio data.

The cloned audio matched the original perfectly, despite having less audio data. You will be able to hear how well the tone and accent have been preserved, resulting in natural-sounding audio.

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What Deepsync Voice Cloning AI does? and why does it outperform current TTS solutions?

What Deepsync Voice Cloning AI does? and why does it outperform current TTS solutions?
  1. Natural Sounding: Deepsync allows media enterprises to clone the voices of prominent podcast hosts, reporters, anchors, or journalists so that they can produce audio content using their natural-sounding AI voices.

    Audiences are familiar with the faces and voices of your enterprise host and anchors. Therefore, hearing the voiceover narration in AI voices that sound natural enhances the listening experience.

  2. It is Easy to Clone: Voices can be cloned using old pre-recorded audio data or RSS feeds. There is no dependency on your hosts, so you don't even have to bother them.

    Once the voices have been cloned, they are available for the production of audio content, such as voiceovers and podcasts, in our studio.

  3. Generate Voice from Text: In the same way that text-to-speech produces audio from text, Deepsync also produces audio from text.

    You can enter your script or blog text into our editor, press enter and produce studio-quality voice in real-time, and create multiple natural cloned speeches by simply opening a new tab in your browser.

    As a result of multiple tabs, multiple audio files are produced in the host's natural voice.

  4. Enhance audio quality with these studio features: We do not just enable enterprises to produce audio content, but to produce studio-quality audio content that sounds like it was recorded directly in a costly recording studio.

    In addition to vocal pitch correction, we provide additional features such as adding background sound, mixing and matching, and much more. To ensure that your media enterprise provides the best audio experience possible.

  5. AI Voices with Emotion: As the voices are cloned it holds the complete tonality, emotion, and flow. The voices are human after all!

    Pronunciation is accurate and can be customized through commas and spaces to even deliver a more accurate flow!

    You can also adjust the speed of speech according to your preferences using the speech speed function.

  6. No Default Voice Setting: Different hosts have different tones and dialects which our AI captures perfectly so the voices will never sound weird, they will sound as per the host.

    Voices will sound different and unique just the way human voices sound!

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Types of Audio Content that can be Produced Using Deepsync

  • Studio-quality short/long-form audio

  • Ai voice-overs in host voice

  • Audio-visual posts for social channels

  • Daily short/long form podcasts:

To learn more in-depth about our use cases click on the image below:

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Final Thoughts

When major innovations are taking place in all sectors, why stick with traditional text-to-speech systems? Implement Deepsync today to boost your media enterprise's user experience and engagement!

Create meaningful social interaction using the natural-sounding cloned voices of your media enterprises' media hosts. Why only let your hosts do podcasts and interviews? Leverage their voices to create your brand voice.

To learn more about Deepsync you can schedule a demo with us by clicking on the image below.

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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. How AI Voices Can Help Improve Audio Advertising and Why it is Such a Hot Trend?

  3. Deepsync API for Enterprises

  4. How to use voice cloning to start your own podcast quickly?

  5. Creating dynamic podcast ads with your AI voice

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

  7. Cloning Media and Radio Broadcast Enterprise Hosts Voices Securely, AI-Powered Audio Production

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

  9. [Deepsync Research] Mastering Voice Cloning in Hindi: A language powering 600M+ people

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