36 citations · 60 across the 8 of their papers we have counts for
8 papers
A Real-Time Gesture-Based Control Framework
Mahya Khazaei, Ali Bahrani, George Tzanetakis
We introduce a real-time, human-in-the-loop gesture control framework that can dynamically adapt audio and music based on human movement by analyzing live video input. By creating…
Interactive Sonification for Health and Energy using ChucK and Unity
Yichun Zhao, George Tzanetakis
Sonification can provide valuable insights about data but most existing approaches are not designed to be controlled by the user in an interactive fashion. Interactions enable the…
HEAR: Holistic Evaluation of Audio Representations
Joseph Turian, Jordie Shier, Humair Raj Khan +20
What audio embedding approach generalizes best to a wide range of downstream tasks across a variety of everyday domains without fine-tuning? The aim of the HEAR benchmark is to dev…
One Billion Audio Sounds from GPU-enabled Modular Synthesis
Joseph Turian, Jordie Shier, George Tzanetakis +2
We release synth1B1, a multi-modal audio corpus consisting of 1 billion 4-second synthesized sounds, paired with the synthesis parameters used to generate them. The dataset is 100x…
Deep Autotuner: a Pitch Correcting Network for Singing Performances
Sanna Wager, George Tzanetakis, Cheng-i Wang +1
We introduce a data-driven approach to automatic pitch correction of solo singing performances. The proposed approach predicts note-wise pitch shifts from the relationship between…
Deep Autotuner: A Data-Driven Approach to Natural-Sounding Pitch Correction for Singing Voice in Karaoke Performances
Sanna Wager, George Tzanetakis, Cheng-i Wang +3
We describe a machine-learning approach to pitch correcting a solo singing performance in a karaoke setting, where the solo voice and accompaniment are on separate tracks. The prop…
Espresso: Efficient Forward Propagation for BCNNs
Fabrizio Pedersoli, George Tzanetakis, Andrea Tagliasacchi
There are many applications scenarios for which the computational performance and memory footprint of the prediction phase of Deep Neural Networks (DNNs) needs to be optimized. Bin…
The Orchive : Data mining a massive bioacoustic archive
Steven Ness, Helena Symonds, Paul Spong +1
The Orchive is a large collection of over 20,000 hours of audio recordings from the OrcaLab research facility located off the northern tip of Vancouver Island. It contains recorded…