يعرض 1 - 10 نتائج من 23 نتيجة بحث عن '"Chowdhury, Shreyan"', وقت الاستعلام: 0.91s تنقيح النتائج
  1. 1
    تقرير
    DExter: Learning and Controlling Performance Expression with Diffusion Models

    المؤلفون: Zhang, Huan, Chowdhury, Shreyan, Cancino-Chacón, Carlos Eduardo, Liang, Jinhua, Dixon, Simon, Widmer, Gerhard

    مصطلحات موضوعية: Electrical Engineering and Systems Science - Audio and Speech Processing

    URL الوصول: http://arxiv.org/abs/2406.14850

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  2. 2
    تقرير
    Expressivity-aware Music Performance Retrieval using Mid-level Perceptual Features and Emotion Word Embeddings

    المؤلفون: Chowdhury, Shreyan, Widmer, Gerhard

    مصطلحات موضوعية: Computer Science - Sound, Computer Science - Information Retrieval, Electrical Engineering and Systems Science - Audio and Speech Processing

    URL الوصول: http://arxiv.org/abs/2401.14826

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  3. 3
    تقرير
    Are we describing the same sound? An analysis of word embedding spaces of expressive piano performance

    المؤلفون: Peter, Silvan David, Chowdhury, Shreyan, Cancino-Chacón, Carlos Eduardo, Widmer, Gerhard

    المصدر: Proceedings of the Forum for Information Retrieval Evaluation, FIRE, 2023, Panjim, India

    مصطلحات موضوعية: Computer Science - Computation and Language, Computer Science - Artificial Intelligence, Computer Science - Information Retrieval

    URL الوصول: http://arxiv.org/abs/2401.02979

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  4. 4
    تقرير
    Decoding and Visualising Intended Emotion in an Expressive Piano Performance

    المؤلفون: Chowdhury, Shreyan, Widmer, Gerhard

    مصطلحات موضوعية: Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing

    URL الوصول: http://arxiv.org/abs/2303.01875

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  5. 5
    مؤتمر
    Towards Explaining Expressive Qualities in Piano Recordings: Transfer of Explanatory Features Via Acoustic Domain Adaptation

    المؤلفون: Chowdhury, Shreyan, Widmer, Gerhard

    المصدر: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Acoustics, Speech and Signal Processing (ICASSP), ICASSP 2021 - 2021 IEEE International Conference on. :561-565 Jun, 2021

    Relation: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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  6. 6
    تقرير
    On Perceived Emotion in Expressive Piano Performance: Further Experimental Evidence for the Relevance of Mid-level Perceptual Features

    المؤلفون: Chowdhury, Shreyan, Widmer, Gerhard

    مصطلحات موضوعية: Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing

    URL الوصول: http://arxiv.org/abs/2107.13231

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  7. 7
    تقرير
    Tracing Back Music Emotion Predictions to Sound Sources and Intuitive Perceptual Qualities

    المؤلفون: Chowdhury, Shreyan, Praher, Verena, Widmer, Gerhard

    مصطلحات موضوعية: Computer Science - Sound, Computer Science - Machine Learning, Electrical Engineering and Systems Science - Audio and Speech Processing

    URL الوصول: http://arxiv.org/abs/2106.07787

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  8. 8
    تقرير
    On the Characterization of Expressive Performance in Classical Music: First Results of the Con Espressione Game

    المؤلفون: Cancino-Chacón, Carlos, Peter, Silvan, Chowdhury, Shreyan, Aljanaki, Anna, Widmer, Gerhard

    مصطلحات موضوعية: Computer Science - Sound, Computer Science - Information Retrieval, Electrical Engineering and Systems Science - Audio and Speech Processing

    URL الوصول: http://arxiv.org/abs/2008.02194

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  9. 9
    تقرير
    Receptive-Field Regularized CNNs for Music Classification and Tagging

    المؤلفون: Koutini, Khaled, Eghbal-Zadeh, Hamid, Haunschmid, Verena, Primus, Paul, Chowdhury, Shreyan, Widmer, Gerhard

    مصطلحات موضوعية: Electrical Engineering and Systems Science - Audio and Speech Processing, Computer Science - Machine Learning, Computer Science - Sound

    URL الوصول: http://arxiv.org/abs/2007.13503

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  10. 10
    تقرير
    Emotion and Theme Recognition in Music with Frequency-Aware RF-Regularized CNNs

    المؤلفون: Koutini, Khaled, Chowdhury, Shreyan, Haunschmid, Verena, Eghbal-zadeh, Hamid, Widmer, Gerhard

    مصطلحات موضوعية: Computer Science - Sound, Computer Science - Machine Learning, Computer Science - Multimedia, Electrical Engineering and Systems Science - Audio and Speech Processing

    URL الوصول: http://arxiv.org/abs/1911.05833

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