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AUDIO INFORMATION RETRIEVAL USING SEMANTIC SIMILARITY ...

    https://www.cs.swarthmore.edu/~turnbull/Papers/Turnbull_AudioQBSE_ICASSP07.pdf#:~:text=In%20many%20cases%2C%20semantic%20understanding%20of%20an%20audio,sounds%20of%20differentbirds%20that%20hoot%2C%20squawk%20or%20quack.
    none

Semantic-audio retrieval - ResearchGate

    https://www.researchgate.net/publication/224228496_Semantic-audio_retrieval
    Semantic Audio Retrieval attempts to model the largely unknown cognitive aspects of human auditory capabilities.

AUDIO INFORMATION RETRIEVAL USING SEMANTIC …

    http://eceweb.ucsd.edu/~gert/papers/RetrievalUsingSemanticSimilarity.pdf
    The retrieval system is based on semantic concept models that are learned from a training data set containing both audio examples and their text captions. Using the con-cept models, the audio tracks are mapped into a semantic fea-ture space, where each dimension indicates the strength of the semantic concept. Audio retrieval is then based on ranking the

CiteSeerX — Semantic-audio retrieval

    https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.214.7056
    BibTeX @INPROCEEDINGS{Slaney02semantic-audioretrieval, author = {Malcolm Slaney}, title = {Semantic-audio retrieval}, booktitle = {IEEE International Conference on ...

(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.

AUDIO INFORMATION RETRIEVAL USING SEMANTIC …

    https://www.cs.swarthmore.edu/~turnbull/Papers/Turnbull_AudioQBSE_ICASSP07.pdf
    The retrieval system is based on semantic concept models that are learned from a training data set containing both audio examples and their text captions. Using the con-cept models, the audio tracks are mapped into a semantic fea-ture space, where each dimension indicates the strength of the semantic concept. Audio retrieval is then based on rank-

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