Subject: New silicon audition papers online ... From: John Lazzaro <lazzaro(at)CS.BERKELEY.EDU> Date: Wed, 15 Jan 1997 10:11:04 -0800Two new papers on silicon audition available online ... --john lazzaro (presented at NIPS*96) A Micropower Analog VLSI HMM State Decoder for Wordspotting John Lazzaro and John Wawrzynek CS Division, UC Berkeley Richard Lippmann MIT Lincoln Laboratory Abstract We describe the implementation of a hidden Markov model state decoding system, a component for a wordspotting speech recognition system. The key specification for this state decoder design is microwatt power dissipation; this requirement led to a continuous-time, analog circuit implementation. We describe the tradeoffs inherent in the choice of an analog design and explain the mapping of the discrete-time state decoding algorithm into the continuous domain. We characterize the operation of a 10-word (81 state) state decoder test chip. Available on the Web at: http://www.cs.berkeley.edu/~lazzaro/biblio/decoder.ps.gz (upcoming UCB Technical Report) Anawake: Signal-Based Power Management For Digital Signal Processing Systems John Lazzaro and John Wawrzynek CS Division, UC Berkeley Richard Lippmann MIT Lincoln Laboratory Abstract Single-chip, low-power, programmable digital signal processing systems are capable of hosting complete speech processing applications, while consuming a few milliwatts of average power. We present a power management architecture that decreases the average power consumption of these systems to 3--10 microwatts, in applications where speech signals are present with a sufficiently low duty cycle. In this architecture, a micropower analog signal processing system, Anawake, continuously analyzes the incoming signal, and controls the power consumption of the DSP system in a signal-dependent way. We estimate system power consumption for Anawake designs optimized for different peak-speech-signal to average-background-noise ratios. Available on the Web at: http://www.cs.berkeley.edu/~lazzaro/biblio/anawake.ps.gz