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L. Grasse

4 papers hereh-index 452 citations14 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.RO2
  • cs.SD2

identity via Semantic Scholar / OpenAlex

activity
20202026
collaborators

4 papers

cs.SD2026

Musical Training, but not Mere Exposure to Music, Drives the Emergence of Chroma Equivalence in Artificial Neural Networks

Lukas Grasse, Matthew S. Tata

Pitch is a fundamental aspect of auditory perception. Pitch perception is commonly described across two perceptual dimensions: pitch height is the sense that tones with varying fre…

cs.SD2024

Artificial Neural Networks Trained on Noisy Speech Exhibit the McGurk Effect

Lukas Grasse, Matthew S. Tata

Humans are able to fuse information from both auditory and visual modalities to help with understanding speech. This is demonstrated through a phenomenon known as the McGurk Effect…

cs.RO2023

Speech-Based Human-Exoskeleton Interaction for Lower Limb Motion Planning

Eddie Guo, Christopher Perlette, Mojtaba Sharifi +4

This study presents a speech-based motion planning strategy (SBMP) developed for lower limb exoskeletons to facilitate safe and compliant human-robot interaction. A speech processi…

cs.RO2020

Self-supervised reinforcement learning for speaker localisation with the iCub humanoid robot

Jonas Gonzalez-Billandon, Lukas Grasse, Matthew Tata +2

In the future robots will interact more and more with humans and will have to communicate naturally and efficiently. Automatic speech recognition systems (ASR) will play an importa…

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