暂无分享,去创建一个
[1] Zhuo Chen,et al. Deep clustering: Discriminative embeddings for segmentation and separation , 2015, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[2] Been Kim,et al. Sanity Checks for Saliency Maps , 2018, NeurIPS.
[3] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[4] Byron C. Wallace,et al. Attention is not Explanation , 2019, NAACL.
[5] Thierry Bertin-Mahieux,et al. The Million Song Dataset , 2011, ISMIR.
[6] Gerhard Widmer,et al. Two-level Explanations in Music Emotion Recognition , 2019, ArXiv.
[7] Xavier Serra,et al. musicnn: Pre-trained convolutional neural networks for music audio tagging , 2019, ArXiv.
[8] Jonathan Le Roux,et al. Universal Sound Separation , 2019, 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).
[9] Bob L. Sturm,et al. Understanding a Deep Machine Listening Model Through Feature Inversion , 2018, ISMIR.
[10] Brandon M. Greenwell,et al. Interpretable Machine Learning , 2019, Hands-On Machine Learning with R.
[11] Jonathan Le Roux,et al. Learning to Separate Sounds from Weakly Labeled Scenes , 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[12] Romain Hennequin,et al. SPLEETER: A FAST AND STATE-OF-THE ART MUSIC SOURCE SEPARATION TOOL WITH PRE-TRAINED MODELS , 2019 .
[13] Bob L. Sturm,et al. Analysing Scattering-Based Music Content Analysis Systems: Where's the Music? , 2016, ISMIR.
[14] Xavier Serra,et al. Toward Interpretable Music Tagging with Self-Attention , 2019, ArXiv.
[15] Yuval Pinter,et al. Attention is not not Explanation , 2019, EMNLP.
[16] Tillman Weyde,et al. Singing Voice Separation with Deep U-Net Convolutional Networks , 2017, ISMIR.
[17] Gerhard Widmer,et al. Towards Interpretable Polyphonic Transcription with Invertible Neural Networks , 2019, ISMIR.
[18] Carlos Guestrin,et al. "Why Should I Trust You?": Explaining the Predictions of Any Classifier , 2016, ArXiv.
[19] Bob L. Sturm,et al. “What are You Listening to?” Explaining Predictions of Deep Machine Listening Systems , 2018, 2018 26th European Signal Processing Conference (EUSIPCO).
[20] Bob L. Sturm,et al. Local Interpretable Model-Agnostic Explanations for Music Content Analysis , 2017, ISMIR.
[21] Jonathan Le Roux,et al. Cutting Music Source Separation Some Slakh: A Dataset to Study the Impact of Training Data Quality and Quantity , 2019, 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).
[22] Minz Won,et al. Visualizing and Understanding Self-attention based Music Tagging , 2019, ArXiv.
[23] Bob L. Sturm. A Simple Method to Determine if a Music Information Retrieval System is a “Horse” , 2014, IEEE Transactions on Multimedia.
[24] Bryan Pardo,et al. Simultaneous Separation and Transcription of Mixtures with Multiple Polyphonic and Percussive Instruments , 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).