| Title | : | CSE Bytes special edition -- Signal Processing guided Machine Learning |
| Speaker | : | Hema A. Murthy (IITM) |
| Details | : | Fri, 28 Apr, 2023 2:30 PM @ CS15 |
| Abstract: | : | The buzzword for building applications of practical relevance is “big data†today. Big data is required primarily to account for the variability in natural signals. Large amounts of data enable neural networks to learn the underlying statistical characteristics of signals. Such models are massive but simple to build since they use the raw signal without preprocessing. A consequence is that they consume significant compute resources for training, and testing. While deep learning has revolutionized machine learning, in this talk we focus on the use of signal processing to preprocess or mine existing data, so that accurate or “smart data†is presented to machine learning models. Knowledge based signal processing is primarily used to identify domain specific events. Owing to significant variability in events, they are best characterised by machine learning models. We draw examples from speech, music, and brain signals to show that signal processing and machine learning should work in tandem. |
