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Here is what you need to know about voice cloning

Introduction

Voice cloning is frequently used interchangeably with other terminology with slightly distinct connotations, such as speech processing, voice deep fakes, and artificial speech.

At its core, the development of a computerized reproduction of an individual’s voice is called voice cloning. New age Artificial Intelligence (AI) solutions are capable of producing a simulated voice that strongly resembles a particular person’s voice. The distinction between the actual and artificial voices can go undetectable to the typical individual in some circumstances.

However, it’s noteworthy that text to speech solutions are distinct from voice cloning. TTS systems are far more confined in terms of capability than voice cloning technology, which is a much more customized process.

How are Voice Clones Generated?

Today, we can generate precise and close to identical speech reproductions owing to advances in AI, notably deep learning techniques and algorithms. 

There are two prerequisites for this process:

  • A robust, sophisticated hardware system equipped with excellent computational power and cloud computing features for processing and generating voices promptly.
  • Substantial training data for the intended voice to be processed by deep learning models and algorithms to generate a precise and reliable voice clone.

As we can easily get access to high-performance AI tools and expert training, everything boils down to the availability and relevance of the data.

Training a speech model demands an enormous volume of recorded voice data. Once the training data is captured, the data and information surrounding the targeted voice are recorded in an encoding, which is a relatively low-dimensional environment in which discrete variables can be translated into high-dimensional vectors.

Top 5 Benefits of Leveraging Voice Cloning Technology

Here are some notable benefits of utilizing voice cloning technology: 

  • It assists businesses in engaging with talented and creative personalities during peak seasons, such as baseball summers for players.
  • It helps boost the availability of advertising and marketing prospects for celebrities, voiceover artists, and influencers.
  • It facilitates resurrecting of historical voices for application in entertainment, such as TV commercials, shows, movies, documentary series, etc.
  • It enables the augmentation of recurrent telecast content, such as weather forecasts or news bulletins.
  • It presents large-scale content localization opportunities to deliver in a familiar, localized voice or accent.

Three Most Prominent Real-World Use Cases of Voice Cloning

  1. Education and learning

Voice cloning influential personalities opens up new possibilities for interactive, immersive learning and dramatic narration when teaching a certain concept.

Furthermore, this technology makes it convenient to capture audio notes because it eliminates the need to do it every new session or fix errors in earlier sessions.

As a result, the operating expenses of diligently recorded lessons are drastically lowered, and learners can profit from the educational content just as if they’re in a classroom setting.

  1. Audiobooks

Leveraging AI voice cloning solutions, popular voices can be used to narrate books, memoirs can be read aloud by the authors, and prominent historical personalities can recount their tales in their own voices.

As a result, the listener has an engaging, high-quality audio experience.

  1. Assistive technology

Simulated voices can help people with conditions such as Parkinson’s or ALS that lead to speech or hearing impairments improve their communication capabilities by employing an artificially generated form of their voice with TTS.

Furthermore, public voice and vocalization samples collected from persons unable to speak clearly could be linked with nonverbal folks that sound alike. In this manner, many people born with mutism can eventually communicate.

Conclusion

Nowadays, AI and breakthroughs in Deep Learning have enhanced synthesized voice quality and performance. However, there is a growing need to put voice use regulations and standardization processes in place to prevent abuse of valuable speech data through any unethical means. 

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