Voice AI in noisy environments with SoundHound's Andrew Richards

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  Hosted on Acast. See acast.com/privacy for more information.

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Interviews with the best brains in AI, sharing how to improve customer experience and business operations using emerging AI technologies such as voice AI, conversational AI, NLP, Large Language Models (LLMs), generative AI and more.We educate business leaders and teams on why and how AI technologies are revolutionising the way consumers engage with businesses and the internet, why that matters and how to implement it properly.“One of the most consistently insightful and deeply respected podcasts in the industry”Bradley Metrock, Score Publishing Hosted on Acast. See acast.com/privacy for more information.