Engaging users on social media platforms and other online channels is extremely challenging today. About 5-7 years ago, when content platforms were not saturated, brands experienced great organic visibility on social media platforms like Facebook and Instagram.
As more brands took to publishing content, the amount of content being generated quickly exceeded how much viewers could consume. Fast forward to today, and we’re witnessing a ‘content shock,’ a situation where there is more content being published than can be consumed.
Because of this, users spend a very short amount of time on each piece of content they come across. The fear of missing out on something interesting causes them to jump through content quickly in an attempt to find something they like.
Brands today believe users have a short attention span, which is why they jump through content. In reality, users have a lot of choices, and they can afford to jump through content.
Today, it’s the responsibility of brands to hook the user in the first few seconds to prove that the content you have put in front of them is something they will find interesting. To do this, the quality of the content you put out has to be excellent, whether it is video, text, or audio. This involves creating great videos, engaging scripts, and captivating audio.
The focus going into 2022 and beyond will be on audio. The rise in the popularity of voice assistants, podcasts, audiobooks, and so on has made audio content the more popular content format. In fact, it is predicted that 92.3% of smartphone users will be using voice assistants by 2023, so they will be actively listening rather than reading or watching.
Creating captivating audio can be a time, effort, and cost-intensive task, especially if you look to use different voice actors to create variety. It, however, doesn’t have to be such a resource-heavy activity if you use text-to-speech converters.
A text-to-speech converter uses AI to read text (which is the input) and deliver an audio file with the text converted to speech. It uses subsets of AI like Optical Character Recognition (OCR) and Natural Language Processing (NLP) to accurately read the text, comprehend the context, and infuse emotion into the speech.
The text-to-speech solutions available today are advanced enough to simulate human intonation and emotion in speech, and marketers should be adding them to their arsenal of marketing tools.
Whether you choose to use one voice and create a strong emotional connection or use multiple voices to create variety, you can do it easily with a text-to-speech converter.
One issue with using AI-generated voice-overs has always been the robotic nature of speech. Users can tell when the voice is artificial, and this has the opposite effect to what was intended – users end up getting emotionally detached.
Neural text-to-speech solution solves this issue by delivering human-like voices that are of high quality. All AI voices are tested against dozens of parameters to generate human-sounding speech. As a result, users are engaged, and they trust the voice they hear.
Converting text-to-speech the traditional way, using a voiceover artist, is extremely time and effort consuming and also costly. You have to set up a recording studio, buy recording equipment, hire a voice actor, record the audio, edit the result, mix and master, and then the track is ready. This can take days and cost you a lot.
On the other hand, a text-to-speech converter delivers the audio file in a matter of minutes, ready to be used within a podcast or video.