Efficient Machine Learning on HiFi DSPs Using TensorFlow
This presentation will walk through the details of building a keyword-detection model and deploying it on a HiFi DSP using the TensorFlow tool chain.
The Cadence® Tensilica® HiFi 3z DSP raises the performance and energy efficiency over the HiFi 3 DSP when executing complex algorithms. Target applications include mobile, home entertainment, and automotive. As audio requirements for everything from smartphones to home stereo receivers to multi-speaker automotive configurations are being driven by advanced post-processing, the HiFi 3z DSP provides the right level of performance or such tasks while keeping the energy consumption at the lowest level.
DSP Performance
Significant (20%) performance boost over HiFi 3 DSP
Energy Efficiency
Highest energy efficiency (mW/MMAC) of HiFi DSP family for high-complexity algorithms
Codec Performance
Well suited for object-based audio codecs, pre- and post-processing, and running VoLTE (EVS) speech codecs
Applications
Examples include wideband speech codecs for mobile, noise suppression in home and car, and immersive gaming with 32 streams of audio
ISO 26262 Compliant
Certified as ASIL compliant and equipped with both hardware and software safety mechanisms
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Customize your DSPs/processors for optimized performance, energy efficiency, and differentiation
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