Automated Multi-Track Mixing and Analysis of Instrument Mixtures
Abstract
References
Index Terms
- Automated Multi-Track Mixing and Analysis of Instrument Mixtures
Recommendations
An Effective Feature Calculation For Analysis & Classification of Indian Musical Instruments Using Timbre Measurement
ICCCT '15: Proceedings of the Sixth International Conference on Computer and Communication Technology 2015Musical instrument recognition is significant field in the research of computer music which is related to the modelling of sounds. Analysing & synthesing the structure of musical note is of importance both for modelling music signals and their automatic ...
MITT: Musical Instrument Timbre Transfer Based on the Multichannel Attention-Guided Mechanism
Intelligent Computing Theories and ApplicationAbstractResearch on neural style transfer and domain translation has clearly demonstrated the ability of deep learning algorithms to manipulate images based on their artistic style. The idea of image translation has been applied to the task of music-style ...
Singing voice detection using perceptually-motivated features
MM '07: Proceedings of the 15th ACM international conference on MultimediaPerceptual features are motivated by human perception of sounds. In this paper, several perceptually-motivated features such as harmonic, vibrato and timbre are studied to detect singing voice segments in a song. In addition, singing formant and attack-...
Comments
Information & Contributors
Information
Published In
- General Chairs:
- Kien A. Hua,
- Yong Rui,
- Ralf Steinmetz,
- Program Chairs:
- Alan Hanjalic,
- Apostol (Paul) Natsev,
- Wenwu Zhu
Sponsors
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tags
Qualifiers
- Research-article
Conference
Acceptance Rates
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 177Total Downloads
- Downloads (Last 12 months)11
- Downloads (Last 6 weeks)0
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in