We have collected the most relevant information on Semantic-Based Audio Recognition And Retrieval. Open the URLs, which are collected below, and you will find all the info you are interested in.
(PDF) Audio Information Retrieval using Semantic Similarity
https://www.researchgate.net/publication/224711180_Audio_Information_Retrieval_using_Semantic_Similarity#:~:text=The%20retrieval%20system%20is%20based%20on%20semantic%20concept,dimension%20indicates%20the%20strength%20of%20the%20semantic%20concept.
Semantic-based Audio Recognition and Retrieval | …
https://www.researchgate.net/publication/250303167_Semantic-based_Audio_Recognition_and_Retrieval
Request PDF | Semantic-based Audio Recognition and Retrieval | Abstract This study considers the problem of attaching meaning,to non-speech sound. The …
(PDF) Audio Information Retrieval using Semantic Similarity
https://www.researchgate.net/publication/224711180_Audio_Information_Retrieval_using_Semantic_Similarity
Concept-based audio retrieval technique based on the semantic concept, the audio tracks are mapped into a semantic feature space, where each dimension indicates the strength of the semantic concept.
[PDF] Content-based audio classification and retrieval by ...
https://www.semanticscholar.org/paper/Content-based-audio-classification-and-retrieval-by-Guo-Li/4b2f55f91e63268a58457cccaa95255336c3e0df
We compare the SVMs based classification with other popular approaches. For audio retrieval, we propose a new metric, called distance-from-boundary (DFB). When a query audio is given, the system first finds a boundary inside which the query pattern is located. Then, all the audio patterns in the database are sorted by their distances to this boundary.
Semantic-Based Video Retrieval Survey
https://www.scirp.org/journal/PaperInformation.aspx?PaperID=86488
Semantic-based video methods are categorized into the rule, fuzzy, graphical models, and temporal based retrieval methods. Finally, the recent approaches in semantic video retrieval are presented such as on-fly and zero-example video retrieval …
[PDF] Content-Based Audio Classification and Retrieval ...
https://www.semanticscholar.org/paper/Content-Based-Audio-Classification-and-Retrieval-Guo-Li/b5e8a947b46424d54c1ea2a44abb154b4eb2857d
In this paper, a support vector machines (SVMs) based method is proposed for content-based audio classification and retrieval. Given a feature set, which in this work is composed of perceptual and cepstral feature, optimal class boundaries between classes are learned from training data by using SVMs. Matches are ranked by using distances from …
Content-Based Emotional Semantic Recognition and Retrieval ...
https://pdfs.semanticscholar.org/cf37/df6c5edf810b6b27dea560f22826e7e64158.pdf
emotional semantic recognition and retrieval of images.In this paper, based on the previous research on the factor space, the correlation between the factors and the low-level features of the emotional semantics of the male T-shirt image, the content …
SEMANTIC SIMILARITY FOR MUSIC RETRIEVAL
https://www.cs.swarthmore.edu/~turnbull/Papers/Turnbull_QBSE_MIREX07.pdf
Query-by-semantic-example (QBSE) is an information re-trieval method that has been applied to images [6], sound effects [1] and music [9]. QBSE uses semantic informa-tion to retrieve semantically meaningful audio from the database. In many cases, a semantic understanding of the audio signal enables retrieval of tracks that, while acous-
Features for Content-Based Audio Retrieval
https://publik.tuwien.ac.at/files/PubDat_186351.pdf
The ill-posed nature of content-based retrieval introduces a semantic gap. The semantic gap refers to the mismatch between high-level concepts and low-level descriptions. In content-based retrieval the semantic gap is positioned between the audio signals and the semantics of their contents. It refers to the
A Text Based Video Retrieval Using Semantic and …
https://www.irjet.net/archives/V2/i7/IRJET-V2I737.pdf
active research is based on the utilization of the semantic concepts and visual content.[1,2] This paper, focus of work is the two main frameworks for video retrieval: text-based visual approach and semantic approach. The text-based methods are originated from the information retrieval [IR] community and can be tracked back to 1970s.
Now you know Semantic-Based Audio Recognition And Retrieval
Now that you know Semantic-Based Audio Recognition And Retrieval, we suggest that you familiarize yourself with information on similar questions.
