AI voiceovers have become extremely life like in the past couple of years. More and more small businesses are jumping over the quick and cheaper ways of creating voiceovers for their product explainers and demo videos, instead of hiring expensive voiceover artists which can cost upwards of 10x the cost of achieving the same quality as AI generated voices. Are you a business trying to get a promotional video made on a budget? See how you could leverage AI voices for your business.
We’ll list out some of the things to keep in mind when going for AI voiceovers. There are use cases where it works best and then some where it may be a bit of a compromised answer. Here, we try to list out the gotchas in your journey towards leveraging AI voices to your benefit, with some examples from the industry.
1. Who is your target audience?
If you are building voiceovers to try and explain your product, AI voiceovers make total sense. If your content is very technical, or you are trying to teach via presentations to a broader audience, tools like MURF are a great solution.
2. Product Explainers
If you are a small business, trying to start up and put your product out there, an explainer video is one of the first things you’ll have to create. There are plenty of options out there to get your started. Most product explainers are screen-grabs or a video shot trying to provide a live demo while someone narrates in the background. More often than not this quality of such a video will be sub-par. With Murf you could take this video, transcribe it, then either edit your own voice, or completely change the voiceover to ultra-realistic voices available there.
2020 has been an year of remote learning, everything remote. And Ed-tech is a booming sector. More and more institutes and individuals are coming online every day to continue the education and training needs of the masses. With tools like MURF you could simply create your presentation in PowerPoint or google slides, and convert them to videos with amazing quality voiceovers .
4. Emphasis Variations
One of the concern that people have with AI voiceovers is the lack of variations possible with them. But with new age tools, it’s not entirely possible to add inflections and emphasis at exact place you want. You could change the pitch or stress points within a sentence if you like.
5. Animation Industry
Animations are a perfect place for using AI voiceovers. They are typically inanimate characters, robots and need extreme pitch variations. These are typically things that AI voices excel at. As per a recent report, over 20% animation voiceovers created by small scale artists are being synthetically generated. You can create infinite revisions, with every iteration of your video, syncing the new voice over can become a challenge with a real human generated voiceovers. But with these new techniques it’s just a matter of a few clicks.
6. Gaming voiceovers
Gaming industry works very similar to animation use case. Same as animations you need several versions of voiceovers to be able to time your game video to have perfect lip syncing. Game developers have been the early adopter of AI voices, in fact. It’s hard to tell how many games today are using AI generated voices, but as per recent reports that number if upwards of 15million utterances. Almost all games have at least a few sections which are leverage AI voices. And most tools like Murf provide Apis for such heavy using industry use cases. Does your business belong to this category?
Podcasts are all the rage in the year 2020. It’s another side effect of the pandemic. People are engaging in new ways with media creators. But unlike gaming or animation industries, podcasts are really about individuals. And the followership is built on the artist’s personality. And that means a podcast in another person or in fact a bot’s voice makes little to no sense. But AI is being used in novel ways in this sector. Podcasts are leveraging AI for audio editing, rather than audio synthesis. With AI techniques, tools like MURF are able to edit audio as simple as editing text. And with techniques like voice cloning you could also easily add in words back to your pre-recoded podcast, without the need to re-record the entire podcast again. This use case has large greater adoption between podcast creators and youtubers alike.
8. Reveal the hearts of tight characters
It is a heritage of the rostrum soliloquy : the person UN agency Was ne’er There, yank sufferer, Dexter. As seen, acceptable for characters UN agency live behind a mask.
We may follow dextral while not a voiceover, however we’d return to know the character. we’d see him as a cruel vigilance man. His voice reveals why he kills criminals and the way he feels doing it. we have a tendency to came to feel sympathy for him.
IVR has always been the domain of synthetic voices. But with ultra-realistic voices coming in, IVR industry has become interesting again. Not companies are leveraging these voices in more than one way. Voice assistants have taken place of chat bots. More and more companies are releasing voice based skills on Alexa and google home devices. All these AI voices are making people comfortable with the concept. And as it gets harder to distinguish from real human voice, this trend is set to grow.
10. Corporate training
Very similar to e-learning, corporate training, requires relatable voices which sound professional and cost effective. Several industries like finance are in constant need of new training material to stay abreast with latest compliance protocols. Employees need to be kept up to date with new concepts and regulations. Corporate training videos typically also need certification and tracking. AI voiceovers lend themselves really well for such use cases.
11. Audio books
Audio books have traditionally been a domain of voiceover artists. And call it irony but most AI voices are actually trained on the same audio books to learn from. Given the large duration of audio books, it can be cost prohibitive to get good voice over artist. In the cost vs quality trade-off, AI voices have their place. AI voiceover tools such as Murf, support up to 8 hours of voiceover time per month with just $29 paid annually, which is just one-tenth the cost of hiring a similar quality artist.
While we have listed several industries where AI voiceovers make sense, but there are still domains where artists are the only viable option. Things like movie voiceovers, adverts, interactive podcasts, interviews, translation and dubbing services are areas which still need the human touch. AI voices have still not reached the kind of emotional range that human voices can evoke with a subtle breath, a simple gasp. But ask any expert in the field of AI, and they would claim that’s just for the time being!