The CEVA-TL410 DSP core is based on, and compliant with, the high-performance, low-power CEVA-TeakLite-4 DSP architecture.
Primarily intended for ultra-low power, always-on audio and sensing DSP chips used to implement voice activation, audio CODECs and low power audio chips, the CEVA-TL410 DSP core offers the smallest die size with its single 32×32-bit MAC, dual 16×16-bit MACs, and direct memory interface. It is ideally suited to always-on listening applications within smartphones and smart consumer products.
All CEVA-TeakLite-4 architecture-compliant cores are fully compatible with each other and with previous generation CEVA-TeakLite family cores.
An audio ISA (instruction set architecture) provides dedicated audio instructions in all CEVA-TeakLite-4-based cores. All TeakLite devices include an integrated, second-generation Power Scaling Unit (PSU 2.0) for smart power management.
The CEVA-TeakLite-4 architecture is scalable to support stand-alone audio/voice applications including filters, voice pre-processing, audio post-processing, and noise reduction; also for mobile applications such as reducing load on the main CPU by performing multi-channel audio decode, transcoding, voice pre-processing, and audio post-processing under the Android operating systems, using the Android Multimedia Framework. The CEVA-TeakLite-4 architecture framework also supports user differentiation to allow expansion for handling proprietary algorithm acceleration and future applications.
The CEVA-TL410 DSP is primarily intended for audio applications yet is suitable for a wide range of sensing and natural human-machine interface (HMI) applications.
- Single 32x32 bit MAC
- Dual 16x16 bit MAC
- Dedicated audio ISA
- 2nd generation Power Scaling Unit for ultra-low power
Webinar: Voice Interfaces of the Future
This webinar covers the current state and future possibilities of voice interfaces. It surveys the technologies that have enabled current proliferation of voice interfaces but also takes a critical look at the faults and drawbacks of current implementations. Finally, it explores the existing, emerging and future technologies that will eventually generate a revolution in the way we interact with machines.