5 papers
Robust Neural Audio Fingerprinting using Music Foundation Models
Shubhr Singh, Kiran Bhat, Xavier Riley +3
The proliferation of distorted, compressed, and manipulated music on modern media platforms like TikTok motivates the development of more robust audio fingerprinting techniques to…
Adversarial Robustness Unhardening via Backdoor Attacks in Federated Learning
Taejin Kim, Jiarui Li, Shubhranshu Singh +2
The delicate equilibrium between user privacy and the ability to unleash the potential of distributed data is an important concern. Federated learning, which enables the training o…
LHGNN: Local-Higher Order Graph Neural Networks For Audio Classification and Tagging
Shubhr Singh, Emmanouil Benetos, Huy Phan +1
Transformers have set new benchmarks in audio processing tasks, leveraging self-attention mechanisms to capture complex patterns and dependencies within audio data. However, their…
GraFPrint: A GNN-Based Approach for Audio Identification
Aditya Bhattacharjee, Shubhr Singh, Emmanouil Benetos
This paper introduces GraFPrint, an audio identification framework that leverages the structural learning capabilities of Graph Neural Networks (GNNs) to create robust audio finger…
ST-ITO: Controlling Audio Effects for Style Transfer with Inference-Time Optimization
Christian J. Steinmetz, Shubhr Singh, Marco Comunità +4
Audio production style transfer is the task of processing an input to impart stylistic elements from a reference recording. Existing approaches often train a neural network to esti…