Speech recognition technology enables the next generation of personal assistants

January 08, 2019 // By Julien Happich
Signal processing IP licensor CEVA has released a Neural Network based speech recognition technology targeting the rapidly growing use of voice as a primary human interface for intelligent cloud-based services and edge devices.

WhisPro is an always-listening multi-trigger phrase technology allowing users of new smartphones, smart speakers, Bluetooth earbuds and other voice-enabled devices to interact with cloud-based voice assistant services, such as Amazon Alexa, Google Assistant, Baidu DuerOS and others. CEVA provides its customers with a trigger phrase customization service to enable voice control for a range of use cases and end markets, including automotive, smart home, and enterprise.

WhisPro operates in tandem with CEVA’s ClearVox front-end voice processing software technology and offers its customers a robust CEVA DSP-based hardware and software solution for speech recognition. This holistic integration of voice pre-processing and neural network algorithms delivers a high recognition rate of more than 95%, while consuming minimal computing resources and power. The technology shows resilience even in noisy environments in both near field and far field use-cases. WhisPro technology operates locally on the edge device, without the need for cloud back up thereby maintaining user privacy and providing instantaneous response with minimal latency.

WhisPro’s scalable Recurrent Neural Network technology is capable of recognizing multiple trigger phrases, simultaneously. The WhisPro SDKit provides customers with guidelines and tools to integrate and test the WhisPro technology in their system. WhisPro supports multiple pronunciations of keywords and multiple languages, per customer request, with English available now and Mandarin Chinese available shortly.

CEVA DSP - www.ceva-dsp.com


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