ARC Processor Summit Proceedings
Audio - Embedded Natural Language Voice Interfaces
Advances in machine learning and embedded engineering technologies now make it possible to design and implement sophisticated natural language voice interfaces on ordinary microcontrollers. Embedded voice interfaces address connectivity, bandwidth, latency, energy, and/or privacy issues associated with cloud-based speech systems. They can be utilized either as a complement (eg. backup) or as an alternative to cloud-based speech systems. For most "command-and-control" applications in consumer and industrial domains, a natural language voice interface can be deployed on a microcontroller with less than 1 MB of RAM+ROM and 200 MHz CPU. Further, a developer can train a sophisticated Natural Language Understanding (NLU) engine for his voice interface with a small amount of data.
Kashif Kahn, CEO, Sage Senses
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