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Voice AI in noisy environments with SoundHound's Andrew Richards

Podcast |: VUX World
Publisher |: Kane Simms
Media Type |: audio
Podknife tags |: Artificial Intelligence,; Business,; Design,; Entrepreneurship,; Interview,; Technology,; User Experience,; Voice
Categories Via RSS |: Arts,; Business,; Design,; Marketing,; Technology
Publication Date |: Aug 20, 2021
Episode Duration |: 00:59:16

Voice AI can provide immense value outside of the home. Problem is, outside is noisy! So how to you create voice AI solutions and speech recognition systems that work well in cars, in traffic, outside or with screaming kids in the background!?

We're joined by SoundHound's Director of Business Development, Andrew Richards, to shed some light on how one of the top voice AI companies tackles this challenge.

We dive into:

What are the common challenges when implementing voice solutions in noisy environments?
Any examples of areas where the environment proves trickier than others?
Microphone technology, placement and arrays
What's beam forming and why is it important?
How do you (or what do you do to...) mitigate the noise to get a clean signal?
About additive noise, convolutional noise, distortion and noise reduction
What do you need to consider when implementing a voice assistant in a noisy environment?
How to train speech recognition systems for use in noisy places?

Links

Visit Houndify.com

Read the Houndify Speech to Meaning blog (recommended)

All about speech recognition with Catherine Breslin

How voice AI is disrupting industries with SoundHound's Mike Zagorsek

How to train speech recognition systems with Atexto

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