Matches in SemOpenAlex for { <https://semopenalex.org/work/W2028189453> ?p ?o ?g. }
Showing items 1 to 49 of
49
with 100 items per page.
- W2028189453 abstract "We present the research, and product development and deployment, of Voice Analyzer' by Jobaline Inc. This is a patent pending technology that analyzes voice data and predicts human emotions elicited by the paralinguistic elements of a voice. Human voice characteristics, such as tone, complement the verbal communication. In several contexts of communication, things are said is just as important as what is being said. This paper provides an overview of our deployed system, the raw data, the data processing steps, and the prediction algorithms we experimented with. A case study is included where, given a voice clip, our model predicts the degree in which a listener will find the voice engaging. Our prediction results were verified through independent market research with 75% in agreement on how an average listener would feel. One application of Jobaline Voice Analyzer technology is for assisting companies to hire workers in the service industry where customers' emotional response to workers' voice may affect the service outcome. Jobaline Voice Analyzer is deployed in production as a product offer to our clients to help them identify workers who will better engage with their customers. We will also share some discoveries and lessons learned." @default.
- W2028189453 created "2016-06-24" @default.
- W2028189453 creator A5012857892 @default.
- W2028189453 creator A5021673172 @default.
- W2028189453 creator A5067945557 @default.
- W2028189453 date "2015-08-10" @default.
- W2028189453 modified "2023-09-24" @default.
- W2028189453 title "Predicting Voice Elicited Emotions" @default.
- W2028189453 cites W1589291211 @default.
- W2028189453 cites W1984320547 @default.
- W2028189453 cites W2080507775 @default.
- W2028189453 cites W2134423065 @default.
- W2028189453 cites W2141985320 @default.
- W2028189453 cites W2158943324 @default.
- W2028189453 cites W2295127282 @default.
- W2028189453 cites W2403076297 @default.
- W2028189453 cites W4234095459 @default.
- W2028189453 doi "https://doi.org/10.1145/2783258.2788619" @default.
- W2028189453 hasPublicationYear "2015" @default.
- W2028189453 type Work @default.
- W2028189453 sameAs 2028189453 @default.
- W2028189453 citedByCount "1" @default.
- W2028189453 countsByYear W20281894532016 @default.
- W2028189453 crossrefType "proceedings-article" @default.
- W2028189453 hasAuthorship W2028189453A5012857892 @default.
- W2028189453 hasAuthorship W2028189453A5021673172 @default.
- W2028189453 hasAuthorship W2028189453A5067945557 @default.
- W2028189453 hasBestOaLocation W20281894531 @default.
- W2028189453 hasConcept C28490314 @default.
- W2028189453 hasConcept C41008148 @default.
- W2028189453 hasConceptScore W2028189453C28490314 @default.
- W2028189453 hasConceptScore W2028189453C41008148 @default.
- W2028189453 hasLocation W20281894531 @default.
- W2028189453 hasOpenAccess W2028189453 @default.
- W2028189453 hasPrimaryLocation W20281894531 @default.
- W2028189453 hasRelatedWork W2066106687 @default.
- W2028189453 hasRelatedWork W2312116756 @default.
- W2028189453 hasRelatedWork W2368779261 @default.
- W2028189453 hasRelatedWork W2374918184 @default.
- W2028189453 hasRelatedWork W2778699561 @default.
- W2028189453 hasRelatedWork W2794438528 @default.
- W2028189453 hasRelatedWork W2893763841 @default.
- W2028189453 hasRelatedWork W2995996972 @default.
- W2028189453 hasRelatedWork W3128571556 @default.
- W2028189453 hasRelatedWork W4304891817 @default.
- W2028189453 isParatext "false" @default.
- W2028189453 isRetracted "false" @default.
- W2028189453 magId "2028189453" @default.
- W2028189453 workType "article" @default.