More and more, the tech community is talking about Generative AI. But what is the business case for it, specifically for Generative AI Voice? And what is the best way to scale this technology for all kinds of apps and products? We hosted a conversation with our Chief Revenue Officer and top API engineer to discuss the potential of WellSaid API.
If you’re looking for the best text-to-speech API available, you’ve probably heard some REALLY bad AI voices. In the past, synthetic voice technology delivered robotic, rigid, and sometimes comical sounding voices. Unfortunately, this limited the ability to use artificial voice that would be a net positive to the user experience.
WellSaid Labs API is part of a growing ecosystem of generative AI advancements that have helped synthetic voice approach human parity. Read on for important factors in synthetic voice API.
A lot of tech analysts like to talk about “emerging AI.” However, when experts from Sequoia make a list, the industry pays attention. As a Silicon Valley capital firm behind such unicorns as DoorDash, Zoom, Snowflake, and Vanta, Sequoia knows what to look for in tech trends.
In August of this year, WellSaid updated the Studio Voice Model with the most lifelike version of our AI Voice Avatars yet. This update helped render your voiceover content with fewer adjustments. Now, the Voice Model can “read” your text in context and get more words right on the first try. We also added the Respelling tool.
Most AI voice providers use a similar strategy for creating a voice avatar from voice actor recordings. At WellSaid, we have updated our Voice Model to use an entirely different type of machine learning. That means that our newest Voice Model powers the most lifelike, natural sounding voice avatars available.
Read on to learn how this experience changes voiceover production for our Studio customers.
We are so excited to introduce you to our seven new friends. Technically, they are avatar voices, but we know you’ll like them. While we often add new voice options to the WSL Studio, we are extra excited about this group. Let’s meet the new options for your next voice over project and learn a bit about the process.
Excellent customer service is a balancing act. Customers are looking for solutions to their problems. Companies are looking for consistency and reliability, aiming for every customer service interaction to go as smoothly as possible. However, nailing TTS for customer service requires a money and resources, and many brands are turning to AI technology for more creative, cost-efficient, and high-quality solutions to serve their customers.
For many brands, a fully-staffed customer service team is not feasible from a finance or resource standpoint. It’s extremely expensive to staff customer service teams around the clock, train them, and ensure they strike the right tone to represent a brand in diverse customer interactions.That’s why, in recent years, many companies have looked to non-human solutions. In fact, over 85% of customer interactions are without a living, breathing agent involved.
In place of live customer support agents, some businesses have installed automated systems to deliver pre-loaded responses based on the most common customer service queries. However, menu systems are not always adequate when complex answers are required, which leads to less than stellar customer satisfaction. (We can all picture someone yelling angrily into a phone at a maddeningly robotic autoresponder.) These limitations are why many brands are moving towards more advanced solutions like realistic text-to-speech.
Artificial intelligence (AI) is one of the most cost-effective, streamlined, resource-efficient ways to create voiceovers for learning and development content, online courses, training videos, podcasts, audiobooks and more. But you may be wondering… how exactly does the process work? In this article, we help to demystify the process, walking you through the steps involved so you can see how simple, efficient and effective making AI voiceovers can be.
There are many benefits to text-to-speech, from time-savings, workflow efficiencies, and budget optimizations. But none of it matters unless the text-to-speech sounds realistic. In this article, we address why realistic, human-sounding text-to-speech is essential and how to find the most realistic text-to-speech engine for your content.
When you’ve watched a video online, have you ever considered whether the voiceover was actually a human voice? Sounds sci-fi, but these days, many companies rely on an emerging technology called text-to-speech to bring their voiceovers, scripts, and learning content to life. In this article, we discuss what text-to-speech is, how it compares to actual human voiceovers, and how you can generate shockingly life-like natural voices with an online text-to-speech platform.