Abstract
The acquisition of musical gestures and particularly of instrument controls from
a musical performance is a field of increasing interest with applications in many
research areas. In the last years, the development of novel sensing technologies
has allowed the fine measurement of such controls. However, the acquisition
process usually involves the use of expensive sensing systems and complex setups that are generally intrusive in practice. An alternative to direct acquisition is through the analysis of the audio signal. So called indirect acquisition has many advantages including the simplicity and low-cost of the acquisition and its nonintrusive nature. The main challenge is designing robust detection algorithms to be as accurate as the direct approaches. In this paper, we present an indirect acquisition method to estimate violin bowing controls from audio signal analysis based on training Convolutional Neural Networks with a database of multimodal data (bowing controls and sound features) of violin performances.
a musical performance is a field of increasing interest with applications in many
research areas. In the last years, the development of novel sensing technologies
has allowed the fine measurement of such controls. However, the acquisition
process usually involves the use of expensive sensing systems and complex setups that are generally intrusive in practice. An alternative to direct acquisition is through the analysis of the audio signal. So called indirect acquisition has many advantages including the simplicity and low-cost of the acquisition and its nonintrusive nature. The main challenge is designing robust detection algorithms to be as accurate as the direct approaches. In this paper, we present an indirect acquisition method to estimate violin bowing controls from audio signal analysis based on training Convolutional Neural Networks with a database of multimodal data (bowing controls and sound features) of violin performances.
| Original language | English |
|---|---|
| Publication date | 2017 |
| Publication status | Published - 2017 |
| Event | Conference and Workshop on Neural Information Processing Systems (NIPS): Machine Learning for Audio Signal Processing - Long Beach Convention & Entertainment Center, Long Beach, United States Duration: 8 Dec 2017 → 8 Dec 2017 https://nips.cc/Conferences/2017/Schedule?showEvent=8790 |
Conference
| Conference | Conference and Workshop on Neural Information Processing Systems (NIPS) |
|---|---|
| Location | Long Beach Convention & Entertainment Center |
| Country/Territory | United States |
| City | Long Beach |
| Period | 08/12/2017 → 08/12/2017 |
| Internet address |