Technology
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 arraysWhat'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 reductionWhat 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?LinksVisit Houndify.comRead the Houndify Speech to Meaning blog (recommended)All about speech recognition with Catherine BreslinHow voice AI is disrupting industries with SoundHound's Mike ZagorsekHow to train speech recognition systems with Atexto See acast.com/privacy for privacy and opt-out information.