| Baby cry sound detection: A comparison of hand crafted features and deep learning approach R Torres, D Battaglino, L Lepauloux Engineering Applications of Neural Networks: 18th International Conference …, 2017 | 38 | 2017 |
| The open-set problem in acoustic scene classification D Battaglino, L Lepauloux, N Evans 2016 IEEE International Workshop on Acoustic Signal Enhancement (IWAENC), 1-5, 2016 | 28 | 2016 |
| Acoustic context recognition using local binary pattern codebooks D Battaglino, L Lepauloux, L Pilati, N Evans 2015 IEEE workshop on applications of signal processing to audio and …, 2015 | 24 | 2015 |
| Sound classification using summary statistics and N-path filtering D Villamizar, D Battaglino, DG Muratore, R Hoshyar, B Murmann 2019 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2019 | 9 | 2019 |
| Acoustic context recognition for mobile devices using a reduced complexity SVM D Battaglino, A Mesaros, L Lepauloux, L Pilati, N Evans 2015 23rd European Signal Processing Conference (EUSIPCO), 534-538, 2015 | 7 | 2015 |
| Accoustic context recognition using local binary pattern method and apparatus D Battaglino, L Lepauloux, L Pilati, N Evans US Patent 10,635,983, 2020 | 6 | 2020 |
| Mobile device and method for determining its context R Torres, D Battaglino, L Lepauloux US Patent 10,091,343, 2018 | | 2018 |
| Acoustic scene classification using Convolutional Neural Networks D Battaglino, L Lepauloux, N Evans DCASE workshop, 2016 | | 2016 |
