Consumer electronics

Product Updates

Kardome is thrilled to introduce MyWord, a unique and user-friendly generative AI (Gen AI) solution for creating personalized Wake Words within seconds for end-users. This plug-and-play customizable wake word solution eliminates the need for time-consuming AI model training, reducing costs for manufacturers and OEMs.

Unlocking Personalized Voice Experiences: Introducing Kardome’s MyWord

The primary barrier that slows down the adaptation of voice assistants is insufficient speech recognition accuracy. Additionally, challenges such as language coverage, users' expectations, security, cost, and complexity of deployment and integration must also be addressed to provide the best possible voice user experience. Kardome has developed a software solution for the mobility segment that dramatically improves existing in-car speech recognition systems to address these multiple challenges.

Product Updates

Kardome Mobility Empowers Automotive OEMs to Create Next-Gen Voice Interfaces with AI-Powered Technology

Kardome Mobility is the only software solution that can individually capture up to six speakers over three seat rows with a single mic array in the overhead compartment. It isolates the desired speech, reduces background noise and echo, and correctly identifies the person speaking

Introducing Kardome Mobility: Revolutionizing In-Car Voice Interactions

Combined with Kardome's 3D Audio Front End software, the new voice products provide a holistic solution for edge software on all voice-enabled devices.

Product Updates

Kardome Adds Voice Biometrics and Wake Word Detection to its Voice Technology Portfolio

A recent study shows Kardome's voice user interface technology achieves more than 90% accuracy in challenging acoustic conditions.

Product Updates

New Study Shows Kardome Outperforms Standard Speech Recognition Algorithms

Kardome’s technology enables VUIs to work in actual life, where there are multiple speakers and ambient sounds.

Product Updates

Speech Recognition in Cars - An Experimental VUI Study