|Alexander Lerch, Assistant Professor|
Music Information Retrieval
Alexander Lerch was a CEO& Head of Research of zplane.development company during 2001 and 2013. He is currently an Assistant Professor in Georgia Institute of Technology since 2013. He joined ShanghaiTech University as a visiting Professor since 2018. Lerch‘s research focus is on the design of algorithms for the analysis of audio and music, enabling new ways of understanding, creating, accessing, and listening to music. His research results have contributed new signal processing approaches for music and have led to new insights into music, its performance, and its meaning. Up to now, he has independently published 2 monographs, participated in the publication of 5 monographs, published 2 journal articles, and published more than 20 international conference papers.
1. Chih-WeiWu and Alexander Lerch. Learned Features for the Assessment of Percussive Music Performances. In Proceedings of the International Conference on Semantic Computing (ICSC), Laguna Hills, 2018. Institute of Electrical and Electronics Engineers (IEEE).
2. Zhiqian Chen, Chih-Wei Wu, Yen-Cheng Lu, Alexander Lerch, and Chang-Tien Lu. Learning to Fuse Music Genres with Generative Adversarial Dual Learning. In Proceedings of the International Conference on Data Mining (ICDM), New Orleans,
2017. Institute of Electrical and Electronics Engineers (IEEE).
3. Siddharth Gururani and Alexander Lerch. Automatic Sample Detection in Polyphonic Music. In Proceedings of the International Society for Music Information Retrieval Conference(ISMIR), Suzhou, 2017. International Society for Music Information Retrieval(ISMIR).
4. Holger Kirchhoff and Alexander Lerch. Evaluation of Features for Audio-to-Audio Alignment. Journal of New Music Research, 40(1):27–41, 2011.
5. Juan José Burred and Alexander Lerch. Hierarchical Automatic Audio Signal Classification. Journal of the Audio Engineering Society (JAES), 52(7/8):724–739, 2004.