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CEVA vil standardisere IP til Bluetooth audio-applikationer

CEVA vil standardisere IP til Bluetooth audio-applikationer

CEVA sigter på at standardisere DSP-enabled Bluetooth audio-IP med ny såkaldt Bluebud trådløs audioplatform til brug i forbindelse med Bluetooth-baserede earbuds, smart watches og wearables (in english).

CEVA, a leading licensor of wireless connectivity and smart sensing technologies, has unveiled Bluebud, a highly-integrated wireless audio platform aimed at standardizing DSP-enabled Bluetooth audio IP for the fast-growing Bluetooth audio markets, including True Wireless Stereo (TWS) earbuds, hearables, wireless speakers, gaming headsets, smartwatches and other wearable devices. The Bluetooth audio market growth is expected to accelerate in the coming years, with ABI Research forecasting that nearly 2 billion devices will ship annually by 2024.


Bluebud addresses the technology complexities and scarcity of expertise that semiconductor and system companies are facing for the development of wireless audio systems. The platform serves to provide a standardized and self-contained solution that companies targeting the lucrative Bluetooth audio market can effectively drop-in to their system-on-chip (SoC) design, dramatically reducing the high entry barriers and time-to-market. Bluebud enables end-product differentiation via support for host-level application software which can run on the CEVA-BX1 DSP or an optional host CPU.

The platform combines CEVA’s RivieraWaves Bluetooth 5.2 IP, with both Classic Audio and LE Audio, and the CEVA-BX1 audio processor, together with all the required peripherals for wireless audio, in a compact low power design, with a footprint of less than 0.5mm2 in 22nm. The single-core architecture reduces the overall latency from RF to audio output down to less than 20ms, ensuring impeccable audio/video sync for movies and gaming. The design also incorporates an advanced power management unit supporting idle and sleep power-down modes through sophisticated clock and voltage scaling, inherent in the fully integrated Bluetooth audio platform.

Furthermore, the onboard CEVA-BX1 DSP along with the SenslinQ DSP software framework enables semiconductor and OEM users to seamlessly integrate differentiated, value-add software from CEVA, its ecosystem partners or custom software, onto the Bluebud platform. CEVA’s optional software available for Bluebud includes ClearVox multi-microphone noise reduction & acoustic echo cancellation, WhisPro voice trigger & commands, and MotionEngine Hear for user control via tap and double tap, head tracking, in-ear detection and activity classification. For lite AI inferencing workloads, Bluebud allows users to run TinyML models such as a wake word engine to summon your voice assistant or detect sound events for contextual awareness, using native support for the TensorFlow Lite Micro neural network framework.

- Consumer demand for TWS earbuds and other wireless audio devices has grown tremendously, with more diverse use cases and new features consistently being introduced, says Erez Bar-Niv, CTO of CEVA.

- The Bluebud platform serves to standardize DSP-enabled Bluetooth audio IP for any semiconductor or systems company, solving the complex challenges of syncing audio packets over Bluetooth, with a drop-in IP that delivers robust, high quality Bluetooth connectivity and audio performance. Supported by our portfolio of audio, voice, sensor fusion and AI software, Bluebud customers can develop differentiated wireless audio solutions with outstanding performance, addressing the full range of tiers from budget through to premium experience, faster than ever.

Since its debut, Bluetooth 5.2 and its integral LE Audio has transformed Bluetooth audio thanks to new features that enhance audio quality and link robustness as well as enabling new audio sharing use cases.

The audio quality improvements are courtesy of the LC3 codec, optimized for the CEVA-BX1, which also enables lower power operation and so extending the battery life of TWS earbuds and other audio streaming devices.

The CEVA-BX1 processor combines efficient DSP compute capability with high-level programming and compact code size requirements of embedded applications. Using an 11-stage pipeline and 4-way VLIW micro-architecture, it offers parallel processing with a Single Instruction Multiple Data (SIMD) ISA, widely used in neural networks inference, noise reduction and echo cancellation, as well as high accuracy sensor fusion algorithms.

The CEVA-BX1 is accompanied by a comprehensive software development tool chain, including an advanced LLVM compiler, Eclipse based debugger, DSP and neural network compute libraries, neural network frameworks support in the form of TensorFlow Lite Micro, and choice of industry leading Real Time Operating Systems (RTOS).
22/2 2021
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