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24 BRINGING INTELLIGENCE TO THE EDGE Results Hit rate has been captured with voice commands mixed with different types of noise in levels suitable to create distinguished signal-to-noise ratios. The test bench shown in Figure 4 is utilized and the results are summarized in Table 1. Conclusions The complete implementation of an endpoint voice commands recognition system has been presented that is capable to execute on a simple MCU device. The reference design enables local voice recognition without a network connection and allows to quickly start building an enhanced VUI in minutes that recognizes voice commands to trigger the corresponding operation. ■ Table 1: Results of hit rate Figure 4: Evaluation test bench. (Source: Renesas Electronics) SNR Background noise Distance Hit-Rate Alexa Requirements (Clean) none 1.5m 100.00% 90% (Clean) none 3m 100.00% 90% 10dB Babble 1.5m 98.55% 80% 10dB Babble 3m 98.84% 80% 10dB Music 1.5m 98.26% 80% 10dB Music 3m 98.55% 80% 10dB TV 1.5m 98.84% 80% 10dB TV 3m 98.55% 80% 5dB Babble 1.5m 98.84% 80% 5dB Babble 3m 96.24% 80% 5dB Music 1.5m 98.84% 80% 5dB Music 3m 97.08% 80% 5dB TV 1.5m 93.37% 80% 5dB TV 3m 90.72% 80%