Will AI replace voice actors? The questions get so much attention from people who make a living from their unique vocals. With the ever-increasing development of AI voice, will it fill in voiceover artists’ shoes?
Well, all those concerns will be responded to here. We list all the advantages and drawbacks of computer-generated voice and human vocal characteristics.
Will AI Replace Voice Actors?
No, at least to this moment. Artificial intelligence is undoubtedly a wave that wakes every soul to work harder to not be substituted by a robot.
However, it is less likely to erase human work from the voice actor industries. Human vocal characteristics are one of a kind. It has distinct qualities and variety in different people, from each interpretation, emotion, & creativity.
AI technology can mimic, but it can not live up to what humans do and how adaptable we are.
What Are Advantages And Limitations Of AI-Generated Voices?
Here are all the strengths and drawbacks of a computer-generated voice. Let’s find out what they are!
Advantages
Speed: It is undeniable that artificial intelligence can generate an output in a blink of an eye, so it reduces procrastinating and waiting time.
Consistency: Consistency is always standard when you apply AI to creating vocal characteristics. No matter how large the project is, it still ensures its uniformity. The tone and style can always stay the same if you wish.
Saving: As long as you pay for a premium option, there are no additional fees.
Multilingual support: Users can create products in multiple languages. From that, the tech brings a good chance for users to approach diverse audiences.
Limitations
Lack of human imprint: Expressions or nuanced emotions will be lacking from an AI-generated product.
Limited creativity: As programmed, it follows the pre-existing rule; the technology can not have a so-called spontaneous performance that actors do in the scene.
Unnaturalness: Even though it progresses every day, the so-called uncanny valley effect still makes the AI voice less lifelike.
Cultural context: It is more likely that AI voices will fail to get the meaning of accents and cultural nuances.
Complex narration: AI-generated voices may encounter difficulties when handling intricate scripts or specialized topics, necessitating human audit.
Ethical concerns: The output from artificial intelligence has to be in consideration for potential misuse and creates a new wave of deep fakes.
How About Advantages And Limitations Of Human Voice Actors?
Now, take a look at the benefits and disadvantages of the work. We give you an overview so that you can see what differences an actor can make to the sound.
Advantages
Personalization: Every natural sound that is produced by the voice acting is God sent. Action voice characteristics involve a variety of emotions, and no one resembles each other. Inside it is exact sentiment, intonations, and depths that shine on different manuscripts, and no AI software can completely imitate them.
Flexibility: A voice actor can voice-acting various characters of the script they are into. They play their vocal (accent, tone) in each paragraph, bringing life to each conversation.
Improvisation: Our creativity juice can run wild, and we can create new ways to express characters and surprise listeners. It is unique and can not be learned by anyone or anything.
Voice variety: From the mid-20th century, when people used vocal characteristics to provide narration or spoken commentary for various types of media, until now, when a century is over, there are a massive number of voiceover actors in this pool. As such, you can see that diversity is not something a machine can beat.
Direct communication: Unlike an impersonal machine, when you work with actors, you can share your ideas, get them working together, and create the most appealing masterpiece.
Limitations
Vocal limitations: One cannot meet all the demands no matter how excellent they are.
Besides, humans are affected by age. As the teens grow older, the vocal characteristics become deeper because of testosterone, and other factors, like vocal range, change too. That will be some drawbacks for humans.
High fee: Undoubtedly, the expense you must pay for actors is not cheap, especially when hiring a famous one. You also have to fit in the actor’s schedule and manage time to meet the deadline.
Time-consuming: Finding the right match for your project requires a certain time because you have to screen, interview, do a demo, etc.
Hard to maintain consistency: The energy of humans is not something that stays forever. So, to keep the consistency, the studio must be well-equipped with high-quality equipment.
What Is The Future Of The Voice Industry?
With the advent of AI voice technology, the future of the industry will be a combination of innovation and tradition. Voice actors who can adapt to these changes can survive and thrive in the evolving industry.
Actors should stay ahead of the curve, hone their skills to develop versatile voices and embrace new technologies.
Conclusion
Will AI replace voice actors? Although actors can’t be replaced now, we don’t know what is on the horizon since AI is being upgraded day by day.
But we can assure you that tech will not put an end to humans’ jobs or completely substitute for you. Because if it happens, it means robots will take over the world.
FAQ
- How does the cost of AI-generated voices?
In general, hiring an actor will cost more than applying artificial intelligence. You must spend up to $3000 for software, equipment, and hosting, not to mention the fee for the talents. If you want to hire a professional team, up to $15000 is what you should expect. Meanwhile, AI will cost you somewhere around $30 per month.
- Are there any examples of AI-generated voice applications?
The Morgan trailer – a horror film, Amazon’s ACX is where publishers/authors can use AI to create their audiobook and uncounted Tiktok videos. Numerous people even apply it to create content every day.
- How does the process of creating AI-generated voices work?
The process entails: collecting the data, training the machine to follow a so-called learning model, finding the patterns, and applying them to the text users’ input. The model is fine-tuned for quality at will.