dc.contributor.author | Akbarinia, Arash | |
dc.contributor.author | Valdez Medrano, Javier | |
dc.contributor.author | Zamani, Rashid | |
dc.date.accessioned | 2011-10-11T07:16:03Z | |
dc.date.available | 2011-10-11T07:16:03Z | |
dc.date.issued | 2011-10-11 | |
dc.identifier.uri | http://hdl.handle.net/2077/27852 | |
dc.description.abstract | People can comprehend speech even in noisy environments.
Yet, the same task for machines still remains to be an elusive
ambition. In this paper, by implementing a speech
recognition prototype as proof of concept for Volvo Construction
Equipment, we illustrate possibility of voice-commanding
construction machines in heavy noisy environments. The
findings of our research are not limited to Volvo Construction
Equipment, and this paper can be studied as a guideline
for boosting noise robustness of speech recognition applications. | sv |
dc.language.iso | eng | sv |
dc.subject | speech recognition, noise robustness, | sv |
dc.subject | voice command, machine learning | sv |
dc.title | Speech Recognition for Noisy Environments - Feasibility of Voice Command in Construction Settings | sv |
dc.type | text | |
dc.setspec.uppsok | Technology | |
dc.type.uppsok | M2 | |
dc.contributor.department | Göteborgs universitet/Institutionen för data- och informationsteknik | swe |
dc.contributor.department | University of Gothenburg/Department of Computer Science and Engineering | eng |
dc.type.degree | Student essay | |