CEVA introduced ClearVox, a software suite of advanced voice input processing algorithms aimed at enhancing speech intelligibility and voice clarity for voice-enabled devices. ClearVox is licensed exclusively for the CEVA-TeakLite-4 and CEVA-X2 audio/voice DSPs.
As voice becomes the primary user interface for cloud-based assistant services, a clean voice signal in any given environment is mandatory to ensure accuracy and intelligibility by conversational assistants such as Alexa, Baidu’s DuerOS, Bixby, Cortana, Google Assistant and Siri. Headsets, smart speakers, mobile phones, wearables, automotive infotainment and home security systems are just some of the sizeable markets that vendors and chipmakers are targeting with voice-enabled services. However, they face significant technology barriers to incorporate and configure complicated algorithms such as multi-mic beamforming, multi-channel acoustic echo cancellation and noise suppression in their products.
To reduce the significant barriers-to-entry for these markets, CEVA has introduced the ClearVox voice input software package. Developed in-house and leveraging CEVA’s vast expertize in audio and voice processing, ClearVox incorporates advanced algorithms that cope with different acoustic scenarios and microphone configurations, including optimized software for speaker direction of arrival, multi-mic beamforming, noise suppression and acoustic echo cancellation, as well as the related firmware and driver software. It is offered in two pre-packaged software form factors; one for near-field applications including headsets and wearables, and the other for far-field applications targeting the emerging smart speaker, infotainment and other advanced voice-enabled applications. The accompanying SDKit is available for customers to configure and adopt ClearVox to their unique product specifications, such as the number and geometry of microphones, echo tail length and more.
ClearVox is available for licensing by select customers today and for general licensing in Q2.eletter-01-08-2018