Timo Kunz, CEO, Aflorithmic, joins us on our podcast to tell us about how Aflorithmic is streamlining audio production using AI.
Presented by Deepgram
Deepgram is a Speech Company whose goal is to have every voice heard and understood. We have revolutionized speech-to-text (STT) with an End-to-End Deep Learning platform. This AI architectural advantage means you don’t have to compromise on speed, accuracy, scalability, or cost to build the next big idea in voice. Our easy-to-use SDKs and APIs allow developers to quickly test and embed our STT solution into their voice products. For more information, visit:
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Streamlining audio production with AI
Aflorithmic is on a mission to help you create high quality audio at a fraction of the time and cost. One of the most intense parts about creating audio for video, radio, smart speakers or, indeed, voice assistants and voice user interfaces, is that you need to learn what you’re doing. You need to learn your way around a DAW, understand compression, EQ, reverb, ducking and a whole load of other audio engineering practices. All of this makes high quality audio difficult to produce and reserved for those skilled enough.
Aflorithmic is on a mission to change that. And to share how audio production can be made more streamlined, and how that can fit into a designer’s workflow, we’re joined by Aflorithmic CEO, Timo Kunz.
00:00 Introduction and presenting Deepgram
Register for ‘The irony of big tech: why your speech recognition is probably a load of tosh’: https://vux.la/3ySe8n8
3:23 Welcome Timo Kunz
6:10 What is Aflorithmic?
12:22 How does an API-based audio production system work?
17:00 Audio creation process
20:08 How do you ‘treat’ the audio so it sounds pro?
24:11 AI-facilitated music
29:23 Audio and video working together
33:55 Multivariate (A/B) testing audio ads
37:11 Personalising audio ads with AI
43:17 Short form microcasting
47:49 The current state of synthetic voices
54:19 Outro
Links
Check out https://aflorithmic.ai
Register for ‘The irony of big tech: why your speech recognition is probably a load of tosh’: https://vux.la/3ySe8n8