How dubbing differs from voice-over: key differences

Have you ever noticed how dubbing a movie, voicing a video or game affects your perception of the plot? High-quality audio and video can immerse one in the atmosphere and evoke an emotional response. However, if the dubbing actors are poorly chosen and the voice-over leaves a lot to be desired, it can completely ruin the impression. So, what should be done to avoid this? Can AI replace voice actors one day? Read on to learn about this, as well as the difference between dubbing and voice-over, and their advantages for your product.

Dubbing and voice-over and what they’re all about

Dubbing and voice-over (narration) are methods of recording audio for a new audience or market.

Dubbing is created to replace the original dialogue with translated text recorded in another language (for example, in video games or ads).

There are the following types of dubbing:

1. UN-style voice-over: a new audio track is overlaid on the original, which remains audible in the background. It is usually used for news, speeches and interviews.
2. Off-Camera voice-over: the original sound is not played, so the new one completely replaces it. This type is suitable for videos, podcasts, radio ads and documentaries.

Dubbing is aimed at completely replacing the original dialogue. It synchronizes with the actors’ lip movements, conveying the same tone and emotions.

Lip-sync dubbing is usually as close to the original as possible, which distinguishes it from other types of voice-over, as it allows recipients to focus solely on the content of what is being said.

What’s the difference between dubbing and voice-over?

Despite their similarities, dubbing and voice-over differ in approaches and areas of application.

Voice-over is suitable for short content focused on information rather than emotions or tone. To give an example, it’s used for educational videos, instructions, documentaries and international news.

Dubbing on the other hand makes the audio as authentic as it can get and conceals the fact of translation. It’s more often used in entertainment content: TV series, movies, cartoons. For educational content, dubbing is also popular, although voice-over is sometimes used to spare the budget.

Let’s consider the difference using the example of the video game industry, where voice acting and subtitles are often combined, and localization must ensure quality adaptation for different markets. Dubbing here is particularly challenging since it requires not only translating words but also preserving emotions, tone and the character of the voice.

For instance, in Japan, where the culture of anime and games is deeply rooted, characters often have unique vocal styles. That’s why dubbing studios choose actors whose voices meet the cultural expectations of the audience while preserving the authenticity of the character.

Can AI replace voice actors one day?

With the development of AI, synthetic voices become increasingly less rare to be heard instead of dubbing and voice-over actors. This technology, text-to-speech (TTS), allows digital text to be voiced with a sound similar to a real human voice. Technologies driven by AI algorithms can partially replicate:

• accent
• tone
• intonation

Among the popular text-to-speech systems are Siri by Apple, Google Assistant and Alexa by Amazon.

In localization, voice synthesis allows for easy adaptation of digital content, including video games, applications and media, for different languages and cultures. Traditionally, voice actors recorded lines in different languages, but this is a labor-intensive and costly process. AI can now analyze an actor’s performance, clone their voice, and synthesize speech in multiple languages while preserving the unique characteristics of the original voice, including accents, emotions and tone.

It would seem that little-known startups are developing such technologies, but YouTube, the world’s most popular video hosting service, is also creating a dubbing tool supported by artificial intelligence called Aloud. After nearly three years of limited beta testing, YouTube expanded access to this feature in the fall of 2024, allowing “hundreds of thousands of creators” to take advantage of it.

Now, even though voice synthesis and cloning technologies are convenient and cost-effective, they aren’t completely risk-free:

• Misuse possibility: synthetic voices can be used to create misleading or harmful content, such as fake audio to impersonate someone else or for fraud.
• Disadvantages of naturalness: the lack of emotional nuances, pauses and other subtleties of the human voice can lead to unnatural sounding.
• Impact on employment: In industries related to voice-over, AI may displace dubbing actors.

Dubbing and human voice-over vs. AI

AI continues to improve the quality of voice-over and localization, while simultaneously increasing the speed of task execution. Even so, although automation reduces costs, human involvement is still necessary, especially in creative and culturally sensitive areas. For example, AI can translate and generate voice-over scripts, but only humans can ensure that localization resonates with the target audience and conveys the desired tone.

Despite the fact that the quality of voice synthesis is constantly improving, it’s unable to fully reproduce the nuances and emotional depth characteristic of content created by humans. So, collaboration with a professional team and native speakers remains the best choice for those who need a high-quality and quick result.

Contact MK:translations to receive localization, audio and video translation services, multilingual voice-over and professional dubbing tailored to your needs.