Title :
A micropower analog VLSI processing channel for bionic ears and speech-recognition front ends
Author :
Lu, Timoihy K T ; Baker, Michael ; Salthouse, Christopher D. ; Sit, Ji-Jon ; Zhak, Serhii ; Sarpeshkar, Rahul
Author_Institution :
Res. Lab. of Electron., MIT, Cambridge, MA, USA
Abstract :
Next-generation bionic ears or cochlear implants will be fully implanted inside the body of the patient and consequently have very stringent requirements on the power consumption used for signal processing. We describe a low-power programmable analog VLSI processing channel that implements bandpass filtering, envelope detection, logarithmic mapping and analog-to-digital conversion. A bionic ear processor may be implemented through the use of several such parallel channels. In a proof-of-concept 1.5 μm AMI MOSIS implementation, the most power-hungry channel of our system (7.5 kHz center frequency) consumed 7.8 μW of power, had an internal dynamic range (IDR) of 51 dB, and provided 64 discriminable levels of loudness per channel. Such numbers already satisfy the requirements of today´s commercial bionic ear processors and can lower the power consumption of even advanced DSP processing schemes of the future by an order of magnitude. Our processing channel is also well suited for use in low power speech recognition front ends, which commonly require the same sequence of operations in cepstrum-like front ends. Future improvements in the interfaces between the various stages of our processing channel, which were not optimized in this implementation, promise a potential internal dynamic range of more than 60 dB with little or no increase in power.
Keywords :
VLSI; analogue-digital conversion; artificial organs; ear; hearing aids; medical signal processing; power consumption; analog-to-digital conversion; bandpass filtering; bionic ear processor; center frequency; cepstrum-like front ends; cochlear implants; commercial bionic ear processors; envelope detection; internal dynamic range; logarithmic mapping; loudness; low power speech recognition front ends; low-power programmable analog VLSI processing channel; micropower analog VLSI processing channel; next-generation bionic ears; parallel channels; patient; power consumption; power-hungry channel; processing channel; proof-of-concept AMI MOSIS implementation; signal processing; speech-recognition front ends; Analog-digital conversion; Band pass filters; Biomedical signal processing; Cochlear implants; Dynamic range; Ear; Energy consumption; Envelope detectors; Filtering; Very large scale integration;
Conference_Titel :
Circuits and Systems, 2003. ISCAS '03. Proceedings of the 2003 International Symposium on
Print_ISBN :
0-7803-7761-3
DOI :
10.1109/ISCAS.2003.1206169