Audioburst and LGE Announce In-Car Infotainment Partnership

Today, Audioburst and LGE (LG Electronics) announced their partnership to integrate the Audioburst Deep Analysis API for Live Audio Streams into in-car infotainment systems for leading automakers. LGE is the first partner to make use of Audioburst’s new API which will be on display at CES 2019 in Las Vegas next month.


LG’s Display Audio Infotainment Device

Audioburst scans, adds metadata tags, and organizes live and prerecorded audio content to make it more easily accessible and discoverable. The new APIs tap into its Content Library, allowing companies to create more personalized experiences based on user profiles, topics, and other factors. LGE is one of the largest IoT device makers, notably producing everything from smart home appliances and phones to in-car infotainment systems. Audio is the dominant form of in-car infotainment and being able to better personalize the user experience and surface more relevant content could create meaningful differentiation for automakers. The announcement makes a connection between audio content categorization that is matched to consumer interests:

“Audioburst Deep Analysis API is an additional layer of advanced metadata categorization … of the content being listened to and searched for in real-time. This will allow brands like LGE to better interpret and target consumers while offering users of its infotainment systems the ability to dive deeper into the content they’re most interested in. Now, every second of live audio is bound in real-time with rich metadata including keywords, entities, properties, features, and sentiments.”

Solution Will Extend Beyond Cars

Amir Hirsh, Audioburst CEO said that the Deep Analysis API is available today for strategic partners and that LGE is the first customer. He suggested that the technology applies across a “wide variety of applications” and expects to work with brands outside of the automobile segment in the future. When asked what prompted the development of the Deep Analysis API, Hirsch commented, “The prompt was two-fold. First, we saw a need for a richer consumer in-car experience. Second, we began getting requests from technology and media partners to better understand the audio content itself and have the ability to draw insights.”

The key innovation is that Audiobust is cataloging a wide variety of audio content and mining it for topics that users may find relevant. This means a radio show segment that discusses the latest Samsung smartphone or a podcast that mentions a new fashion designer can be identified as having content relevant to a consumer profile or to fulfill a search query even if the topics are buried at minute 22 and only last a few seconds. It is a new way to surface audio content which in the past has been only achievable through manual methods.

Startup Audioburst is Using AI to Change Audio Discovery

124 Hidden Amazon Alexa Easter Eggs from AudioBurst