With AI dubbing becoming a popular option and alternative to traditional dubbing, many have wondered whether using it alongside their projects or companies is beneficial.
While AI dub is better than Traditional dub, AI has its limitations in the field.
To help you understand, we have listed the top benefits of dubbing with AI, alongside the limitations you may face while working with the new technology.
Unmatched Pros of AI Dubbing
Enhanced Efficiency
When AI dubbing technology was released, a big problem was solved, and it was the time taken to create voice-overs and reach a wider audience. Nowadays, most of the content is dubbed with trained MLMs, saving hundreds of previous hours, and helping smaller businesses release dubbed content.
Nonetheless, the AI dubbing technology has helped with subtitle generation in a real-time setting. While watching a series, now you can let an advanced AI machine translate any word into your local language in a speech-to-text manner.
Cost-effective
One of the biggest pros of AI dubbing is its ability to translate for a fraction of the cost of Traditional Dubbing. On average Traditional Dub costs between $50 to $300 per minute, and depends on the voice actor's fame, project complexity, and language, according to Verbalate.
On the other hand, AI dubbing costs you on average $0,5 per minute and does not scale with voice actors, or the project’s requirements. With Storyshell, dubbing goes to as low as $0,44 per minute, helping both small and enterprise businesses produce localized content at scale.
Multilingual Capabilities
As the world advances, MLMs have also adopted powerful, and user-like adapting skills, able to produce human-like speech and translations. These specific skills create a special kind of dubbing, which is unrecognizable from a human voice.
A reason for this is utilizing real humans, and training the AI to clone their voice, and use for the creation of complex sentences, and use semantic learning for a better user experience.
Variety of Voices and Dialects
With complex trained algorithms, nowadays AI allows the use of multiple voice actors, along with choosing the dialect of each language. When editing, you can choose between hundreds of voices, and go further into tuning the deepness of a voice, and pronunciation of each word to make it more human-like.
This technology has allowed the creation of original and non-repetitive voices. In fact, with voice tuning, you can create over 20,000 different voices, without having to break the bank.
SEO and Voice Search SEO
With newer SEO trends such as Search Everywhere Optimization, leveraging AI dubbing could help you optimize video content, and turn any text content into audio.
This strategy allows the implementation of searchable keywords, and scaling your content to a wider audience. Search Engines such as YouTube, and Twitch, allow dubbing in content creation and could increase the probability of sending your content to a wider audience, increasing your views, subscribers, and overall followers.
Increased Engagement
With SEO (Search Engine Optimization), and the aspect of allowing to optimize every search place, many content creators have seen growth of over 214% every month.
A reason for the increase in their engagement is the consistency of publishing valuable content and minimizing their need to hire multiple individuals, that will have to work together.
With AI you can lower the personnel needed per video, and keep the most important roles, which include a SEO copywriter, proofreader, and a video editor for increased gains and flexibility.
Cons and Limitations of AI Dubbing
Emotional Depth and Nuance
Emotional depth is a decision-maker in creating audio content, dedicated to certain targeted audiences. It plays the most crucial role and could entice the decision-maker to act.
As one of the few cons of localizing your content with AI, MLMs cannot fully understand humans and automatically use a touching tone, which many voice actors do.
The process often requires manual editing, and could potentially become lengthy for many small publishers. For example, a heartfelt dialog in a romantic scene could be less convincing when created with an AI model and not edited by a human.
Creativity and Performance
In many movies, we have seen creativity from the actors by improvising their scenes, which is later added to the script, and delivered to an audience. This is one of the few newsworthy articles, which every media is ready to publish for each movie or press conference held.
With AI things are a bit complicated, since each model is trained to act upon instructions, and must obey them. Or in other words, AI cannot act against its nature or set of rules and improvise at any given time, except, if trained by professional engineers.
Some AI dubbing software companies utilize the idea of creativity and improvisation with AI, however, it is still in its early stages.
Risk of Overuse
If not used with precision and carefulness in mind, any AI voice actor can sound similar, and repetitive. This causes a huge lack of engagement for many creators, who try to automate their careers and release unedited content.
A reason for that is the lack of creativity in AI learning models which could be a big threat for the future of any content creator.
On the other hand, this con could be easily solved by involving audio engineers, who could sprinkle creativity on top of the generated voice, and create astonishing and original content for any audience.
Data Privacy and Security
To record professional voice actors, multiple contracts have to be signed and abide by the laws of each country where the content is going to be visible. Yet, this could pose a bigger threat to the voice actor, as his voice could be misused.
For more information on data security, Amberscript has produced a great content script on subtitling and dubbing restrictions.
Lack of Influence
When beginning with content creation and using AI voiceovers for dubbing, influence could be a big threat to the overall career. Many content creators seek influencers, like executives search for movie stars. Since they are popular people and have starred in many big movies, their presence could influence a huge number of users to watch a movie or engage with a video on the internet.
With AI things are different, except if the voice actor is someone known in his country or even worldwide.
Solving AI Dubbing Limitations in the Near Future
With the advancement of AI dubbing technology, many content creators have taken a significant step forward toward content creation with the help of AI voiceovers.
As noted, even this trend comes with limitations, which many companies work towards solving and creating a better environment for its promising future.
Emotional Depth
While emotions are out of the picture for AI MLMs, many companies started working towards the creation of predefined plans, allowing AI to change emotions. However, this is still in its early stages, as the process requires training the Artificial Intelligence to understand different scripts.
Adapt Performances of real-life actors
Real-life actors can always improvise and create an outstanding play in both movies or short-form content, which manages to create a wider audience reach.
Based on such examples, AI has been trained for multiple years to understand and imitate the nature of improvisation based on the rules set for it to follow.
It is believed that in the near beginning of 2024, AI could possibly start improvising better than an actor, as seen with larger MLMs like ChatGPT and its intrinsic characteristic of imitating humans upon training.
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