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Unsupervised Structure Discovery for Semantic Analysis of ...

    https://www.academia.edu/2899324/Unsupervised_Structure_Discovery_for_Semantic_Analysis_of_Audio#:~:text=an%20audio%20dictionary%20%28supervised%20or%20unsupervised%29%20for%20semantic,be%20produced%20by%20very%20different%20sources.%20Thus%2C%20to
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Unsupervised Structure Discovery for Semantic Analysis of ...

    https://proceedings.neurips.cc/paper/2012/file/c6e19e830859f2cb9f7c8f8cacb8d2a6-Paper.pdf
    an audio dictionary (supervised or unsupervised) for semantic analysis involves an implicit assump-tion that the acoustics map directly to semantics. In reality, we expect the mapping to be more complex, because acoustically similar sounds can be …

Unsupervised Structure Discovery for Semantic Analysis …

    https://www.academia.edu/2899324/Unsupervised_Structure_Discovery_for_Semantic_Analysis_of_Audio
    Unsupervised Structure Discovery for Semantic Analysis of Audio. 2012. Bhiksha Raj. Download Download PDF. Full PDF Package Download Full PDF Package. This Paper. ... Computational Audio Analysis. By Meinard Müller. Computational Processing of the Portuguese Language. By Aline Villavicencio, N. Mamede, and Paulo Quaresma. Download PDF.

Unsupervised structure discovery for semantic analysis of ...

    https://dl.acm.org/doi/10.5555/2999134.2999266
    Home Conferences NIPS Proceedings NIPS'12 Unsupervised structure discovery for semantic analysis of audio. ARTICLE . Unsupervised structure discovery for semantic analysis of audio. Share on. Authors: Sourish Chaudhuri. Language Technologies Institute, Carnegie Mellon University, Pittsburgh, PA ...

Unsupervised Structure Discovery for Semantic Analysis of ...

    https://proceedings.neurips.cc/paper/2012/hash/c6e19e830859f2cb9f7c8f8cacb8d2a6-Abstract.html
    Unsupervised Structure Discovery for Semantic Analysis of Audio. ... Sourish Chaudhuri, Bhiksha Raj. Abstract. Approaches to audio classification and retrieval tasks largely rely on detection-based discriminative models. We submit that such models make a simplistic assumption in mapping acoustics directly to semantics, whereas the actual ...

Unsupervised Content Discovery in Composite Audio

    https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/unsupervisedaudiodiscovery_mm05.pdf
    Content-based audio analysis, unsupervised approach, key audio element, auditory scene, spectral clustering, information-theoretic co-clustering. 1. INTRODUCTION An automation of semantic content extraction from digital audio streams can be beneficial to many multimedia applications, such as

Unsupervised hierarchical structure induction for deeper ...

    https://www.researchgate.net/publication/261153437_Unsupervised_hierarchical_structure_induction_for_deeper_semantic_analysis_of_audio
    Request PDF | Unsupervised hierarchical structure induction for deeper semantic analysis of audio | Current audio analysis techniques rely on fairly shallow analysis of audio content, using ...

Structured Models for Semantic Analysis of Audio …

    https://www.lti.cs.cmu.edu/sites/default/files/sourish_chaudhuri_structured_models_for_semantic_analysis_of_audio_content.pdf
    focussing on formalizing general notions of syntactic or semantic structure for universal audio analysis have been relatively limited. Prior work in analysis of audio content has largely involved identifying certain sounds in recordings, and the analysis paradigm has typically relied on a shallow analysis framework that

Unsupervised Word Discovery from Phonetic Input Using ...

    https://groups.uni-paderborn.de/nt/pubs/2013/WaHaChRa2013.pdf
    Unsupervised language acquisition is the task of acquiring components of a language without any supervision. Our goal is toacquirethese componentsdirectlyfromaudiorecordings of continuous speech. This task may be subdivided into two subtasks: a) the discovery of the basic acoustic building blocks of speech

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