暂无分享,去创建一个
Huibin Lin | Rujie Liu | Ziqiang Shi | Liu Liu | Anyan Shi | Ziqiang Shi | Rujie Liu | Liu Liu | Huibin Lin | Anyan Shi
[1] Lu Jiakai,et al. MEAN TEACHER CONVOLUTION SYSTEM FOR DCASE 2018 TASK 4 , 2018 .
[2] Hongyi Zhang,et al. mixup: Beyond Empirical Risk Minimization , 2017, ICLR.
[3] Yong Xu,et al. DCASE 2018 Challenge baseline with convolutional neural networks , 2018, ArXiv.
[4] Yoshua Bengio,et al. Interpolation Consistency Training for Semi-Supervised Learning , 2019, IJCAI.
[5] Mathieu Lagrange,et al. Detection and Classification of Acoustic Scenes and Events: Outcome of the DCASE 2016 Challenge , 2018, IEEE/ACM Transactions on Audio, Speech, and Language Processing.
[6] Yong Xu,et al. DCASE 2018 Challenge Surrey cross-task convolutional neural network baseline , 2018, DCASE.
[7] Harri Valpola,et al. Weight-averaged consistency targets improve semi-supervised deep learning results , 2017, ArXiv.
[8] David Berthelot,et al. MixMatch: A Holistic Approach to Semi-Supervised Learning , 2019, NeurIPS.
[9] P. van Kranenburg,et al. International Society for Music Information Retrieval , 2014 .
[10] Ankit Shah,et al. DCASE2017 Challenge Setup: Tasks, Datasets and Baseline System , 2017, DCASE.
[11] Aren Jansen,et al. Audio Set: An ontology and human-labeled dataset for audio events , 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[12] Xavier Serra,et al. Freesound Datasets: A Platform for the Creation of Open Audio Datasets , 2017, ISMIR.
[13] Ankit Shah,et al. Sound Event Detection in Domestic Environments with Weakly Labeled Data and Soundscape Synthesis , 2019, DCASE.
[14] Nicolas Turpault,et al. Large-Scale Weakly Labeled Semi-Supervised Sound Event Detection in Domestic Environments , 2018, DCASE.
[15] Annamaria Mesaros,et al. Metrics for Polyphonic Sound Event Detection , 2016 .
[16] Marian Verhelst,et al. The SINS Database for Detection of Daily Activities in a Home Environment Using an Acoustic Sensor Network , 2017, DCASE.