Matches in SemOpenAlex for { <https://semopenalex.org/work/W4365516332> ?p ?o ?g. }
Showing items 1 to 50 of
50
with 100 items per page.
- W4365516332 abstract "Abstract Landscaping and design are designed to meet the needs of people for leisure, entertainment, production and life. The natural landscape is the main part and combined with artificial beautification technology to create a space landscape. Modern planning and design mainly focus on environmental protection and the sustainable development of natural resources. As a natural way of human communication, speech has inherent advantages as a means of human-computer interaction. Automatic speech recognition should enable computers to understand human speech and convert speech sequences into text sequences. With the development of deep learning, speech recognition based on deep neural networks has become more and more common. There are currently two frameworks for internal speech recognition modeling: hybrid framework and end-to-end architecture. In this case, this work focuses on the various problems of speech recognition modeling in the two architectures. Based on local topographic maps, remote sensing image maps and various baseline survey data, this paper explores the planning area, uses technology to extract and analyze the spatial data of the research area, and create digital elevation models, remote sensing images, and maps The sounding above forms a virtual three-dimensional environment of the study area. On this basis, the landscape elements are analyzed from the perspectives, topography and spatial pattern to create urban landscapes. The planning and design are based on a comprehensive and intuitive spatial model, which is used to formulate a reasonable anti-urban security plan, with the landscape map of the area as a reference point." @default.
- W4365516332 created "2023-04-15" @default.
- W4365516332 creator A5019781637 @default.
- W4365516332 creator A5054698215 @default.
- W4365516332 date "2023-04-14" @default.
- W4365516332 modified "2023-10-01" @default.
- W4365516332 title "Research on Application of 3D GIS in Urban Landscape Based on Speech Recognition System" @default.
- W4365516332 cites W1889137377 @default.
- W4365516332 cites W1974327233 @default.
- W4365516332 cites W1978813267 @default.
- W4365516332 cites W2008011521 @default.
- W4365516332 cites W2019546859 @default.
- W4365516332 cites W2030128042 @default.
- W4365516332 cites W2122694082 @default.
- W4365516332 cites W2132143030 @default.
- W4365516332 cites W2133396899 @default.
- W4365516332 cites W2308318555 @default.
- W4365516332 cites W2598203838 @default.
- W4365516332 cites W2771869413 @default.
- W4365516332 cites W3048938882 @default.
- W4365516332 doi "https://doi.org/10.21203/rs.3.rs-2791484/v1" @default.
- W4365516332 hasPublicationYear "2023" @default.
- W4365516332 type Work @default.
- W4365516332 citedByCount "0" @default.
- W4365516332 crossrefType "posted-content" @default.
- W4365516332 hasAuthorship W4365516332A5019781637 @default.
- W4365516332 hasAuthorship W4365516332A5054698215 @default.
- W4365516332 hasBestOaLocation W43655163321 @default.
- W4365516332 hasConcept C154945302 @default.
- W4365516332 hasConcept C2522767166 @default.
- W4365516332 hasConcept C41008148 @default.
- W4365516332 hasConceptScore W4365516332C154945302 @default.
- W4365516332 hasConceptScore W4365516332C2522767166 @default.
- W4365516332 hasConceptScore W4365516332C41008148 @default.
- W4365516332 hasLocation W43655163321 @default.
- W4365516332 hasOpenAccess W4365516332 @default.
- W4365516332 hasPrimaryLocation W43655163321 @default.
- W4365516332 hasRelatedWork W1596801655 @default.
- W4365516332 hasRelatedWork W2130043461 @default.
- W4365516332 hasRelatedWork W2350741829 @default.
- W4365516332 hasRelatedWork W2358668433 @default.
- W4365516332 hasRelatedWork W2376932109 @default.
- W4365516332 hasRelatedWork W2382290278 @default.
- W4365516332 hasRelatedWork W2390279801 @default.
- W4365516332 hasRelatedWork W2748952813 @default.
- W4365516332 hasRelatedWork W2899084033 @default.
- W4365516332 hasRelatedWork W2530322880 @default.
- W4365516332 isParatext "false" @default.
- W4365516332 isRetracted "false" @default.
- W4365516332 workType "article" @default.