![]() A Resemble.ai voice actor in conversational styleĪI voices have grown particularly popular among brands looking to maintain a consistent sound in millions of interactions with customers.Part of what makes a human voice so human is its inconsistency, expressiveness, and ability to deliver the same lines in completely different styles, depending on the context. Making a convincing synthetic voice takes more than just pressing a button, however. ![]() The second fills in the details, including breaths and the way the voice resonates in its environment. The first predicts, from a passage of text, the broad strokes of what a speaker will sound like-including accent, pitch, and timbre. The one WellSaid Labs constructed, for example, uses two primary deep-learning models. Over the years, researchers have used this basic idea to build voice engines that are more and more sophisticated. “If I’m Pizza Hut, I certainly can’t sound like Domino’s, and I certainly can’t sound like Papa John’s.” Rupal Patel, founder and CEO of VocaliD Instead, they could feed a few hours of audio into an algorithm and have the algorithm learn those patterns on its own. Voice developers no longer needed to dictate the exact pacing, pronunciation, or intonation of the generated speech. Getting them to sound any more natural was a laborious manual task.ĭeep learning changed that. But the old ones, including the voices of the original Siri and Alexa, simply glued together words and sounds to achieve a clunky, robotic effect. Synthetic voices have been around for a while. ![]()
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