Matches in SemOpenAlex for { <https://semopenalex.org/work/W2105653490> ?p ?o ?g. }
Showing items 1 to 82 of
82
with 100 items per page.
- W2105653490 abstract "Noise generated due to the motion of a robot is not desired, because it deteriorates the quality and intelligibility of the sounds recorded by robot-embedded microphones. It must be reduced or cancelled to achieve automatic speech recognition with a high performance. In this work, we divide ego-motion noise problem into three subdomains of arm, leg and head motion noise, depending on their complexity and intensity levels. We investigate methods that make use of single-channel and multi-channel processing in order to suppress ego noise separately. For this purpose, a framework consisting of a microphone-array-based geometric source separation, a consequent post filtering process and a parallel module for template subtraction is used. Furthermore, a control mechanism is proposed, which is based on signal-to-noise ratio and instantaneously detected motions, to switch to the most suitable method to deal with the current type of noise. We evaluate the proposed techniques on a humanoid robot using automatic speech recognition (ASR). The preliminary results of isolated word recognition show the effectiveness of our methods by increasing the word correct rates up to 50% compared to the single channel recognition in arm and leg motion noises and up to 25% in very strong head motion noises." @default.
- W2105653490 created "2016-06-24" @default.
- W2105653490 creator A5001435105 @default.
- W2105653490 creator A5002298345 @default.
- W2105653490 creator A5008539902 @default.
- W2105653490 creator A5035862608 @default.
- W2105653490 creator A5088197176 @default.
- W2105653490 creator A5091708408 @default.
- W2105653490 date "2010-05-01" @default.
- W2105653490 modified "2023-10-12" @default.
- W2105653490 title "A hybrid framework for ego noise cancellation of a robot" @default.
- W2105653490 cites W1502692652 @default.
- W2105653490 cites W1998746641 @default.
- W2105653490 cites W2084533374 @default.
- W2105653490 cites W2098463040 @default.
- W2105653490 cites W2113638573 @default.
- W2105653490 cites W2121973264 @default.
- W2105653490 cites W2125892920 @default.
- W2105653490 cites W2128653836 @default.
- W2105653490 cites W2134717935 @default.
- W2105653490 cites W2134910060 @default.
- W2105653490 cites W2136197758 @default.
- W2105653490 cites W2150946027 @default.
- W2105653490 cites W2169147844 @default.
- W2105653490 cites W2169872459 @default.
- W2105653490 cites W2402286417 @default.
- W2105653490 cites W2545450247 @default.
- W2105653490 cites W44848409 @default.
- W2105653490 doi "https://doi.org/10.1109/robot.2010.5509564" @default.
- W2105653490 hasPublicationYear "2010" @default.
- W2105653490 type Work @default.
- W2105653490 sameAs 2105653490 @default.
- W2105653490 citedByCount "10" @default.
- W2105653490 countsByYear W21056534902012 @default.
- W2105653490 countsByYear W21056534902018 @default.
- W2105653490 countsByYear W21056534902020 @default.
- W2105653490 crossrefType "proceedings-article" @default.
- W2105653490 hasAuthorship W2105653490A5001435105 @default.
- W2105653490 hasAuthorship W2105653490A5002298345 @default.
- W2105653490 hasAuthorship W2105653490A5008539902 @default.
- W2105653490 hasAuthorship W2105653490A5035862608 @default.
- W2105653490 hasAuthorship W2105653490A5088197176 @default.
- W2105653490 hasAuthorship W2105653490A5091708408 @default.
- W2105653490 hasConcept C115961682 @default.
- W2105653490 hasConcept C154945302 @default.
- W2105653490 hasConcept C2778263558 @default.
- W2105653490 hasConcept C2778806681 @default.
- W2105653490 hasConcept C28490314 @default.
- W2105653490 hasConcept C31972630 @default.
- W2105653490 hasConcept C41008148 @default.
- W2105653490 hasConcept C68115822 @default.
- W2105653490 hasConcept C76155785 @default.
- W2105653490 hasConcept C90509273 @default.
- W2105653490 hasConcept C99498987 @default.
- W2105653490 hasConceptScore W2105653490C115961682 @default.
- W2105653490 hasConceptScore W2105653490C154945302 @default.
- W2105653490 hasConceptScore W2105653490C2778263558 @default.
- W2105653490 hasConceptScore W2105653490C2778806681 @default.
- W2105653490 hasConceptScore W2105653490C28490314 @default.
- W2105653490 hasConceptScore W2105653490C31972630 @default.
- W2105653490 hasConceptScore W2105653490C41008148 @default.
- W2105653490 hasConceptScore W2105653490C68115822 @default.
- W2105653490 hasConceptScore W2105653490C76155785 @default.
- W2105653490 hasConceptScore W2105653490C90509273 @default.
- W2105653490 hasConceptScore W2105653490C99498987 @default.
- W2105653490 hasLocation W21056534901 @default.
- W2105653490 hasOpenAccess W2105653490 @default.
- W2105653490 hasPrimaryLocation W21056534901 @default.
- W2105653490 hasRelatedWork W1488173215 @default.
- W2105653490 hasRelatedWork W1491017269 @default.
- W2105653490 hasRelatedWork W1977167953 @default.
- W2105653490 hasRelatedWork W2116623987 @default.
- W2105653490 hasRelatedWork W2155276444 @default.
- W2105653490 hasRelatedWork W2161947961 @default.
- W2105653490 hasRelatedWork W2165869870 @default.
- W2105653490 hasRelatedWork W2372151585 @default.
- W2105653490 hasRelatedWork W3199644506 @default.
- W2105653490 hasRelatedWork W585264039 @default.
- W2105653490 isParatext "false" @default.
- W2105653490 isRetracted "false" @default.
- W2105653490 magId "2105653490" @default.
- W2105653490 workType "article" @default.