Signal to Noise Ratio 90 dB (the typical SNR 96 dB the Theoretical (SNR) for a CD) maximum for 16 bit Consumption <= 20 W (typical power <= 10 W (4 x the maximum (typical) consumption for a laptop) power consumption of the beagle bone black) Power Consumption 5 W 2.5 W (power saving mode) Voice Commands 75% 85% Accuracy Graphic EQ Band Count 5 bands 10+ bands On-Device Storage 1 GB 10 GB On Device Song Storage 50 (~500 MB) 1000 songs (~1 GB) External Song Storage 1000 songs (~1 GB) 1000+ Primary Device Size 20cm*20cm *3cm (LWH; 15cm*15cm*3cm (765 1200 cm^3) cm^3) Primary Device Weight 2.3 kg (~5 lbs) 1 kg (2.2 lbs) Secondary Device Size 15cm*15cm*3cm (765 13cm*13cm*3cm (507 cm^3) cm^3) Secondary Device Weight 2 kg (4.4 lbs) 1 kg (2.2 lbs) Maximum User Count 4 Users (@ 1000 songs) 8 Users (@ 1000 songs) Smart Playlist Algorithm O(n), where n is the O(1) time to execute is – Performance number of songs in the independent of the number user’s (see of songs. Master Playlist section 4.2.2) Playlist Accuracy: 50% 80% N songs, user skips S songs; Accuracy = (N-S)/N Song Selection Statistical Naïve Bayes or Binomial Multinomial Logistic Model relies on… Logistic Regression Regression Number of Attributes per 16 (with the possibility of 32+ (with the possibility of Song unknown) unknown) Unknown Song Attribute 90% + (web scrapping 20% Rate might fail) Number of Attributes per 16 (no unknowns) 32+ (no unknowns) Song per User Song Recommendation None O(1) Algorithm Performance Person Identification None 75% Accuracy Location Services None WPS Standalone GPS Combination of WPS and GPS Location Services Error None <= 1 mile Distance
Signal to Noise Ratio (SNR) 90 dB (the typical SNR for a CD) 96 dB the Theoretical maximum for 16 bit Consumption (typical) <= 20 W (typical power consumption for a laptop) <= 10 W (4 x the maximum power consumption of the beagle bone black) Power Consumption (power saving mode) 5 W 2.5 W Voice Commands Accuracy 75% 85% Graphic EQ Band Count 5 bands 10+ bands On-Device Storage 1 GB 10 GB On Device Song Storage 50 (~500 MB) 1000 songs (~1 GB) External Song Storage 1000 songs (~1 GB) 1000+ Primary Device Size 20cm*20cm *3cm (LWH; 1200 cm^3) 15cm*15cm*3cm (765 cm^3) Primary Device Weight 2.3 kg (~5 lbs) 1 kg (2.2 lbs) Secondary Device Size 15cm*15cm*3cm (765 cm^3) 13cm*13cm*3cm (507 cm^3) Secondary Device Weight 2 kg (4.4 lbs) 1 kg (2.2 lbs) Maximum User Count 4 Users (@ 1000 songs) 8 Users (@ 1000 songs) Smart Playlist Algorithm Performance O(n), where n is the number of songs in the user’s Master Playlist (see section 4.2.2) O(1) – time to execute is independent of the number of songs. Playlist Accuracy: N songs, user skips S songs; Accuracy = (N-S)/N 50% 80% Song Selection Statistical Model relies on… Naïve Bayes or Binomial Logistic Regression Multinomial Logistic Regression Number of Attributes per Song 16 (with the possibility of unknown) 32+ (with the possibility of unknown) Unknown Song Attribute Rate 90% + (web scrapping might fail) 20% Number of Attributes per Song per User 16 (no unknowns) 32+ (no unknowns) Song Recommendation Algorithm Performance None O(1) Person Identification Accuracy None 75% Location Services None WPS Standalone GPS Combination of WPS and GPS Location Services Error Distance None <= 1 mile
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