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Towards the Neuromorphic Implementation of the Auditory Perception in the iCub Robotic Platform

Published: 03 May 2022 Publication History

Abstract

Hearing can be considered as one of the most important senses since it plays a key role in the audiovisual learning process. While a lot of effort has been made for achieving good results from the traditional approach of auditory perception, new trends such as neuromorphic computing are showing promising achievements in the implementation of brain structures for sensory perception. In this work, the design and integration of a neuromorphic event-based digital model of the auditory ascending pathway within the iCub robotic platform is proposed. This model, which comprises from the cochlea up to the inferior colliculus, replaces the traditional approach for sound processing already implemented on iCub and is able to perform sound recognition and spatial localization in real-time, allowing the implementation of auditory attention models in complex scenarios, like the cocktail party problem.

References

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Jorge Dávila-Chacón 2018. Enhanced robot speech recognition using biomimetic binaural sound source localization. IEEE transactions on neural networks and learning systems 30, 1(2018), 138–150.
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Arren Glover 2018. The event-driven software library for YARP—With algorithms and iCub applications. Frontiers in Robotics and AI 4 (2018), 73.
[3]
Daniel Gutierrez-Galan 2019. A neuromorphic approach of the sound source localization task in real-time embedded systems: work-in-progress. In Proceedings of the International Conference on Embedded Software Companion. 1–2.
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Dillon A Hambrook 2017. A Bayesian computational basis for auditory selective attention using head rotation and the interaural time-difference cue. PloS one 12, 10 (2017).
[5]
Bertrand Higy, Alessio Mereta, Giorgio Metta, and Leonardo Badino. 2018. Speech recognition for the icub platform. Frontiers in Robotics and AI 5 (2018), 10.
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Angel Jiménez-Fernández 2017. A Binaural Neuromorphic Auditory Sensor for FPGA: A Spike Signal Processing Approach.IEEE Trans. Neural Netw. Learning Syst. 28, 4 (2017), 804–818.
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Lorenzo Natale 2017. icub: The not-yet-finished story of building a robot child. Science Robotics 2, 13 (2017).
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Eustace Painkras 2013. SpiNNaker: A 1-W 18-core system-on-chip for massively-parallel neural network simulation. IEEE Journal of Solid-State Circuits 48, 8 (2013), 1943–1953.
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Giulia Pasquale, Carlo Ciliberto, Francesca Odone, Lorenzo Rosasco, and Lorenzo Natale. 2019. Are we done with object recognition? The iCub robot’s perspective. Robotics and Autonomous Systems 112 (2019), 260–281.
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Vadim Tikhanoff 2010. Integration of speech and action in humanoid robots: iCub simulation experiments. IEEE Transactions on Autonomous Mental Development 3, 1(2010), 17–29.

Cited By

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  • (2024)Bio-Inspired Sensor-Based Sound Pre-Processing for Speech Recognition in Noisy Conditions2024 IEEE Biomedical Circuits and Systems Conference (BioCAS)10.1109/BioCAS61083.2024.10798207(1-5)Online publication date: 24-Oct-2024
  • (2023)Auditory perception architecture with spiking neural network and implementation on FPGANeural Networks10.1016/j.neunet.2023.05.026165:C(31-42)Online publication date: 1-Aug-2023
  • (2023)Neuromorphic electronics for robotic perception, navigation and controlEngineering Applications of Artificial Intelligence10.1016/j.engappai.2023.106838126:PAOnline publication date: 1-Nov-2023

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Published In

cover image ACM Other conferences
NICE '22: Proceedings of the 2022 Annual Neuro-Inspired Computational Elements Conference
March 2022
122 pages
ISBN:9781450395595
DOI:10.1145/3517343
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 03 May 2022

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Author Tags

  1. event-based processing
  2. iCub
  3. neuromorphic auditory sensor
  4. sound localization
  5. sound recognition

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  • Extended-abstract
  • Research
  • Refereed limited

Funding Sources

  • Ministerio de Ciencia, Innovación y Universidades

Conference

NICE 2022
NICE 2022: Neuro-Inspired Computational Elements Conference
March 28 - April 1, 2022
Virtual Event, USA

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Overall Acceptance Rate 25 of 40 submissions, 63%

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Cited By

View all
  • (2024)Bio-Inspired Sensor-Based Sound Pre-Processing for Speech Recognition in Noisy Conditions2024 IEEE Biomedical Circuits and Systems Conference (BioCAS)10.1109/BioCAS61083.2024.10798207(1-5)Online publication date: 24-Oct-2024
  • (2023)Auditory perception architecture with spiking neural network and implementation on FPGANeural Networks10.1016/j.neunet.2023.05.026165:C(31-42)Online publication date: 1-Aug-2023
  • (2023)Neuromorphic electronics for robotic perception, navigation and controlEngineering Applications of Artificial Intelligence10.1016/j.engappai.2023.106838126:PAOnline publication date: 1-Nov-2023

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