FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313484385> ?p ?o ?g. }

• W4313484385 abstract "In recent times, voice assistants have become a part of our day-to-day lives, allowing information retrieval by voice synthesis, voice recognition, and natural language processing. These voice assistants can be found in many modern-day devices such as Apple, Amazon, Google, and Samsung. This project is primarily focused on Virtual Assistance in Natural Language Processing. Natural Language Processing is a form of AI that helps machines understand people and create feedback loops. This project will use deep learning to create a Voice Recognizer and use Commonvoice and data collected from the local community for model training using Google Colaboratory. After recognizing a command, the AI assistant will be able to perform the most suitable actions and then give a response. The motivation for this project comes from the race and gender bias that exists in many virtual assistants. The computer industry is primarily dominated by the male gender, and because of this, many of the products produced do not regard women. This bias has an impact on natural language processing. This project will be utilizing various open-source projects to implement machine learning algorithms and train the assistant algorithm to recognize different types of voices, accents, and dialects. Through this project, the goal to use voice data from underrepresented groups to build a voice assistant that can recognize voices regardless of gender, race, or accent. Increasing the representation of women in the computer industry is important for the future of the industry. By representing women in the initial study of voice assistants, it can be shown that females play a vital role in the development of this technology. In line with related work, this project will use first-hand data from the college population and middle-aged adults to train voice assistant to combat gender bias." @default.
• W4313484385 created "2023-01-06" @default.
• W4313484385 creator A5020148110 @default.
• W4313484385 creator A5049487204 @default.
• W4313484385 creator A5073479333 @default.
• W4313484385 creator A5078094126 @default.
• W4313484385 creator A5085466756 @default.
• W4313484385 date "2022-12-20" @default.
• W4313484385 modified "2023-09-26" @default.
• W4313484385 title "Addressing the Selection Bias in Voice Assistance: Training Voice Assistance Model in Python with Equal Data Selection" @default.
• W4313484385 doi "https://doi.org/10.48550/arxiv.2301.00646" @default.
• W4313484385 hasPublicationYear "2022" @default.
• W4313484385 type Work @default.
• W4313484385 citedByCount "0" @default.
• W4313484385 crossrefType "posted-content" @default.
• W4313484385 hasAuthorship W4313484385A5020148110 @default.
• W4313484385 hasAuthorship W4313484385A5049487204 @default.
• W4313484385 hasAuthorship W4313484385A5073479333 @default.
• W4313484385 hasAuthorship W4313484385A5078094126 @default.
• W4313484385 hasAuthorship W4313484385A5085466756 @default.
• W4313484385 hasBestOaLocation W43134843851 @default.
• W4313484385 hasConcept C111919701 @default.
• W4313484385 hasConcept C136764020 @default.
• W4313484385 hasConcept C154945302 @default.
• W4313484385 hasConcept C178718744 @default.
• W4313484385 hasConcept C204321447 @default.
• W4313484385 hasConcept C28490314 @default.
• W4313484385 hasConcept C41008148 @default.
• W4313484385 hasConcept C49774154 @default.
• W4313484385 hasConcept C519991488 @default.
• W4313484385 hasConcept C81917197 @default.
• W4313484385 hasConceptScore W4313484385C111919701 @default.
• W4313484385 hasConceptScore W4313484385C136764020 @default.
• W4313484385 hasConceptScore W4313484385C154945302 @default.
• W4313484385 hasConceptScore W4313484385C178718744 @default.
• W4313484385 hasConceptScore W4313484385C204321447 @default.
• W4313484385 hasConceptScore W4313484385C28490314 @default.
• W4313484385 hasConceptScore W4313484385C41008148 @default.
• W4313484385 hasConceptScore W4313484385C49774154 @default.
• W4313484385 hasConceptScore W4313484385C519991488 @default.
• W4313484385 hasConceptScore W4313484385C81917197 @default.
• W4313484385 hasLocation W43134843851 @default.
• W4313484385 hasOpenAccess W4313484385 @default.
• W4313484385 hasPrimaryLocation W43134843851 @default.
• W4313484385 hasRelatedWork W1553887524 @default.
• W4313484385 hasRelatedWork W2327204559 @default.
• W4313484385 hasRelatedWork W2355862304 @default.
• W4313484385 hasRelatedWork W2529681551 @default.
• W4313484385 hasRelatedWork W2748952813 @default.
• W4313484385 hasRelatedWork W2778699561 @default.
• W4313484385 hasRelatedWork W3107474891 @default.
• W4313484385 hasRelatedWork W3133066742 @default.
• W4313484385 hasRelatedWork W3198474835 @default.
• W4313484385 hasRelatedWork W2525727584 @default.
• W4313484385 isParatext "false" @default.
• W4313484385 isRetracted "false" @default.
• W4313484385 workType "article" @default.