Shreya Gupta
Free-lance researcher/audio consultant
About Me
Audio Machine Learning researcher specialising in Music Information Retrieval (MIR), with four years of prior studio experience as a producer and mix engineer in the Hindi music industry. She is passionate about integerating MIR tools creative music making tools.
Sessions
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Acoustic Guitar as Percussion
A Mel-Spectrogram Blind Spot17:30 - 17:50 UTC | Friday 16th October 2026 | ADCx GatherBeginnerIntermediateThis talk examines the caveats of using mel spectrograms as input representations for audio tagging models. The mel-spectrogram pipeline drops information at several stages: fixed-window STFTs trade temporal for frequency resolution, mel filtering reduces high-frequency detail, and log compression reduces transient contrast. This can make transient-rich sounds harder to distinguish. For example, PANNs (Pretrained Audio Neural Networks) are large-scale pretrained models for audio pattern recognition that use log-mel spectrograms as input and can misclassify acoustic guitar attacks as percussion. Because mel spectrograms are widely used, these limitations can be inherited by models built on top of them. The talk considers […]
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Tabla to Drumset
Translating Rhythmic Language through Machine Learning09:40 - 10:00 UTC | Monday 10th November 2025 | Bristol 2BeginnerIntermediateTabla is known for its complex and expressive rhythms, but what if we could make those patterns playable on a drum kit? This talk introduces a system that listens to tabla performances, classifies each stroke using machine learning, and responds with a drum groove that follows the flow of the original rhythm. Built with stroke detection, pattern prediction, and cross-instrument mapping, the system acts as a rhythm translator. Instead of copying tabla phrases, it interprets them, helping non-tabla players groove with its unique phrasing and energy. Whether you are into Indian classical music, drum machines, or creative AI workflows, this […]