Audio is chronically difficult to find. Learn how Audioburst makes it easier for creators and businesses.
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:
Making audio easier to find
Audio is chronically difficult to find. Invisible and not indexed in the usual places people search for information, such as online and in emerging contexts such as voice assistants. Yet, there’s so much audio being produced and so much rich and dense information contained within it.
Think about this podcast. In this conversation with Audioburst CEO, Gal Klein, we discuss a whole manner of different challenges when it comes to discovering audio content, both bite-sized summaries and long form information. Yet, you’ll need to listen to the whole thing in order to benefit from it. And how did you find it? In a podcast player probably.
But why can’t you just ask Google what the main challenge with audio discoverability is, then dip straight into the specific part of this podcast where Gal explains it?
The answer? Audio is notoriously difficult to understand and summarise. Yet, that is what Audioburst does.
In this conversation, we discuss some of the core challenges with audio discoverability, the value of both short and long form audio and how Audioburst helps creators and businesses make their audio more discoverable.
