TY - GEN
T1 - Perceptually guided inexact DSP design for power, area efficient hearing aid
AU - Kadiyala, Sai Praveen
AU - Sen, Aritra
AU - Mahajan, Shubham
AU - Wang, Qingyun
AU - Lingamneni, Avinash
AU - German, James Sneed
AU - Hong, Xu
AU - Banerjee, Ansuman
AU - Palem, Krishna V.
AU - Basu, Arindam
N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].
PY - 2015/12/4
Y1 - 2015/12/4
N2 - Inexact design has been recognized as very viable approach to achieve significant gains in the energy, area and speed efficiencies of digital circuits. By deliberately trading error in return for such these gains, inexact circuits and architectures have been shown to be especially useful in contexts where our senses such as sight and hearing, can compensate for the loss in accuracy. It is therefore important to understand, characterize the manner in which our sensorial systems interact and compensate for the loss in accuracy. Further use this knowledge to optimize and guide the manner in which inexactness is introduced. For the first time, we achieve both of these goals in this paper in the context of human audition-specifically, using the architecture of a hearing-Aid and the DSP primitive of an FIR filter as our candidate. Our algorithms for designing an inexact hearing-Aid thus use intelligibility as the metric. The resulting inexact FIR filter in the hearing aid is 1.5X or 1.8X more efficient in terms of power-Area product while producing 5% or 10% less intelligible speech respectively when compared with the corresponding exact version. 1
AB - Inexact design has been recognized as very viable approach to achieve significant gains in the energy, area and speed efficiencies of digital circuits. By deliberately trading error in return for such these gains, inexact circuits and architectures have been shown to be especially useful in contexts where our senses such as sight and hearing, can compensate for the loss in accuracy. It is therefore important to understand, characterize the manner in which our sensorial systems interact and compensate for the loss in accuracy. Further use this knowledge to optimize and guide the manner in which inexactness is introduced. For the first time, we achieve both of these goals in this paper in the context of human audition-specifically, using the architecture of a hearing-Aid and the DSP primitive of an FIR filter as our candidate. Our algorithms for designing an inexact hearing-Aid thus use intelligibility as the metric. The resulting inexact FIR filter in the hearing aid is 1.5X or 1.8X more efficient in terms of power-Area product while producing 5% or 10% less intelligible speech respectively when compared with the corresponding exact version. 1
UR - https://www.scopus.com/pages/publications/84962771111
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84962771111&origin=recordpage
U2 - 10.1109/BioCAS.2015.7348319
DO - 10.1109/BioCAS.2015.7348319
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 9781479972333
T3 - IEEE Biomedical Circuits and Systems Conference: Engineering for Healthy Minds and Able Bodies, BioCAS 2015 - Proceedings
BT - IEEE Biomedical Circuits and Systems Conference: Engineering for Healthy Minds and Able Bodies, BioCAS 2015 - Proceedings
PB - IEEE
T2 - 11th IEEE Biomedical Circuits and Systems Conference, BioCAS 2015
Y2 - 22 October 2015 through 24 October 2015
ER -