| Instrument Activity Detection in Polyphonic Music using Deep Neural Networks S Gururani, C Summers, A Lerch The 19th International Society of Music Information Retrieval Conference …, 2018 | 52 | 2018 |
| An Attention Mechanism for Musical Instrument Recognition S Gururani, M Sharma, A Lerch The 20th International Society for Music Information Retrieval Conference …, 2019 | 51 | 2019 |
| Assessment of student music performances using deep neural networks KA Pati, S Gururani, A Lerch Applied Sciences 8 (4), 507, 2018 | 45 | 2018 |
| Music Performance Analysis: A Survey A Lerch, C Arthur, A Pati, S Gururani Proceedings of the International Society for Music Information Retrieval …, 2019 | 36 | 2019 |
| Objective descriptors for the assessment of student music performances A Vidwans, S Gururani, CW Wu, V Subramanian, RV Swaminathan, ... Audio Engineering Society Conference: 2017 AES International Conference on …, 2017 | 31 | 2017 |
| Towards the Objective Assessment of Music Performances CW Wu, S Gururani, C Laguna, A Pati, A Vidwans, A Lerch International Conference on Music Perception and Cognition (ICMPC), 99-103, 2016 | 27 | 2016 |
| An interdisciplinary review of music performance analysis A Lerch, C Arthur, A Pati, S Gururani arXiv preprint arXiv:2104.09018, 2021 | 21 | 2021 |
| Prosody transfer in neural text to speech using global pitch and loudness features S Gururani, K Gupta, D Shah, Z Shakeri, J Pinto arXiv preprint arXiv:1911.09645, 2019 | 18 | 2019 |
| Mixing secrets: A multitrack dataset for instrument detection in polyphonic music S Gururani, A Lerch Late Breaking Demo (Extended Abstract), Proceedings of the International …, 2017 | 15* | 2017 |
| dmelodies: A music dataset for disentanglement learning A Pati, S Gururani, A Lerch arXiv preprint arXiv:2007.15067, 2020 | 13 | 2020 |
| Semi-supervised audio classification with partially labeled data S Gururani, A Lerch 2021 IEEE International Symposium on Multimedia (ISM), 111-114, 2021 | 9 | 2021 |
| Score-informed networks for music performance assessment J Huang, YN Hung, A Pati, SK Gururani, A Lerch arXiv preprint arXiv:2008.00203, 2020 | 9 | 2020 |
| Analysis of Objective Descriptors for Music Performance Assessment S Gururani, KA Pati, CW Wu, A Lerch International Conference on Music Perception and Cognition (ICMPC), 2018 | 8 | 2018 |
| Automatic Sample Detection in Polyphonic Music S Gururani, A Lerch The 18th International Society of Music Information Retrieval Conference …, 2017 | 8 | 2017 |
| Visual attention for musical instrument recognition K Watcharasupat, S Gururani, A Lerch arXiv preprint arXiv:2006.09640, 2020 | 6 | 2020 |
| Spacex: Speech-driven portrait animation with controllable expression S Gururani, A Mallya, TC Wang, R Valle, MY Liu arXiv preprint arXiv:2211.09809, 2022 | 5 | 2022 |
| Generating expressive speech audio from text data S Gururani, K Gupta, D Shah, Z Shakeri, J Pinto, M Sardari, N Aghdaie, ... US Patent 11,295,721, 2022 | 4 | 2022 |
| A Comparison of Music Input Domains for Self-Supervised Feature Learning S Gururani, A Lerch, M Bretan ICML Workshop on Machine Learning for Music Discovery Workshop (ML4MD …, 2019 | 1 | 2019 |
| Automatic Practice Logging: Introduction, Dataset & Preliminary Study. RM Winters, S Gururani, A Lerch The 17th International Society of Music Information Retrieval Conference …, 2016 | 1 | 2016 |
| Voice aging using machine learning K Gupta, Z Shakeri, P Zhong, S Gururani, M Sardari US Patent 11,735,158, 2023 | | 2023 |
Alexander LerchMusic Informatics Group, Georgia Institute of TechnologyVerified email at gatech.edu
