Voice Testing
Ensure your devices speak human.
Achieve accurate, natural voice experiences
Build voice assistants based on real people.
Voice adoption is here to stay, and consumers now expect to have natural interactions with voice technology. When you’re developing voice technology, you need to ensure your devices speak human. But that’s easier said than done — there are an infinite number of variables and user inputs that impact the success of a voice interaction, from languages to background noise to dialects. Traditional text-based testing methods can’t account for this wide range of voice inputs.
Applause takes a different approach that ensures a human-based voice experience. The Voice Testing & Feedback Solution is an end-to-end approach to build and validate voice experiences built on and for humans. With the Applause community, we provide diverse utterances at scale to build a voice algorithm based on real people. Then, native testers will validate the outputs of your voice experience, ensuring you’re producing a meaningful and relevant interaction. With an end-to-end, human-based approach, Applause helps companies deliver exceptional voice experiences around the globe.
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Dial-up your voice experiences for your customers
Applause offers a holistic solution built on best practices by Amazon and Google.
Voice Services We Test
As the global leader in voice testing, Applause offers custom solutions to test a variety of use cases across the voice landscape. Learn more about our specific testing and feedback solutions for Amazon and Google.
Beskpoken Webinar
Ready to Tackle the Complexities of Voice Testing?
Let us show you how our comprehensive testing services can help you deliver successful voice-forward experiences. Simply fill out the form below, and join the Applause customers who’ve been able to:
- Increase Customer Engagement: Deliver high quality and rewarding experiences that keep customers coming back.
- Innovate Faster: Receive real-time results and expert recommendations.
- Launch Confidently: Test edge cases and complex variables to uncover critical issues before they get to the customer.