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dc.contributor.authorAkbarinia, Arash
dc.contributor.authorValdez Medrano, Javier
dc.contributor.authorZamani, Rashid
dc.date.accessioned2011-10-11T07:16:03Z
dc.date.available2011-10-11T07:16:03Z
dc.date.issued2011-10-11
dc.identifier.urihttp://hdl.handle.net/2077/27852
dc.description.abstractPeople 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.isoengsv
dc.subjectspeech recognition, noise robustness,sv
dc.subjectvoice command, machine learningsv
dc.titleSpeech Recognition for Noisy Environments - Feasibility of Voice Command in Construction Settingssv
dc.typetext
dc.setspec.uppsokTechnology
dc.type.uppsokM2
dc.contributor.departmentGöteborgs universitet/Institutionen för data- och informationsteknikswe
dc.contributor.departmentUniversity of Gothenburg/Department of Computer Science and Engineeringeng
dc.type.degreeStudent essay


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