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ORCID3. AES International Conference Semantic Audio 2017: Erlangen, Germany
- Christian Dittmar, Jakob Abeßer, Meinard Müller:
AES International Conference Semantic Audio 2017, Erlangen, Germany, June 22-24, 2017. Audio Engineering Society 2017, ISBN 978-1-942220-15-2
Papers
- Diego Di Carlo, Ken Déguernel, Antoine Liutkus:
Gaussian Framework for Interference Reduction in Live Recordings. - Delia Fano Yela, Sebastian Ewert, Derry Fitzgerald, Mark B. Sandler:
On the Importance of Temporal Context in Proximity Kernels: A Vocal Separation Case Study. - Athanasios Lykartsis, Stefan Weinzierl, Volker Dellwo:
Speaker Identification for Swiss German with Spectral and Rhythm Features. - Andy Pearce, Tim Brookes, Russell Mason:
Timbral Attributes for Sound Effect Library Searching. - Patricio López-Serrano, Christian Dittmar, Meinard Müller:
Mid-Level Audio Features Based on Cascaded Harmonic-Residual-Percussive Separation. - Rachel M. Bittner, Justin Salamon, Juan J. Bosch, Juan Pablo Bello:
Pitch Contours as a Mid-Level Representation for Music Informatics. - Rodrigo Schramm, Emmanouil Benetos:
Automatic Transcription of a Cappella recordings from Multiple Singers. - Amruta Vidwans, Siddharth Gururani, Chih-Wei Wu, Vinod Subramanian, Rupak Swaminathan, Alexander Lerch:
Objective Descriptors for the Assessment of Student Music Performances. - Dasaem Jeong, Juhan Nam:
Note Intensity Estimation of Piano Recordings by Score-Informed NMF. - Emmanouil Benetos:
Polyphonic Note and Instrument Tracking Using Linear Dynamical Systems. - Rainer Kelz, Gerhard Widmer:
An Experimental Analysis of the Entanglement Problem in Neural-Network-based Music Transcription Systems. - Jakob Abeßer, Stefan Balke, Klaus Frieler, Martin Pfleiderer, Meinard Müller:
Deep Learning for Jazz Walking Bass Transcription. - Alice Cohen-Hadria, Geoffroy Peeters:
Music Structure Boundaries Estimation Using Multiple Self-Similarity Matrices as Input Depth of Convolutional Neural Networks. - Gerhard Hagerer, Vedhas Pandit, Florian Eyben, Björn W. Schuller:
Enhancing LSTM RNN-Based Speech Overlap Detection by Artificially Mixed Data. - Gökhan Sevkin, Alexandra Craciun, Tom Bäckström:
An Unsupervised Hybrid Approach for Online Detection of Sound Scene Changes in Broadcast Content. - Adán L. Benito, Joshua D. Reiss:
Intelligent Multitrack Reverberation Based on Hinge-Loss Markov Random Fields. - Zdenek Prusa:
The Phase Retrieval Toolbox. - Joren Six, Marc Leman:
A Framework to Provide Fine-Grained Time-Dependent Context for Active Listening Experiences. - Jong Wook Kim, Spencer Russell, Juan Pablo Bello:
Fast Music and Audio Processing Using the Julia Language. - Nicholas Jillings, Ryan Stables:
Investigating Music Production Using a Semantically Powered Digital Audio Workstation in the Browser. - Florian Scholz, Igor Vatolkin, Günter Rudolph:
Singing Voice Detection across Different Music Genres. - Frank Zalkow, Christof Weiß, Thomas Prätzlich, Vlora Arifi-Müller, Meinard Müller:
A Multi-Version Approach for Transferring Measure Annotations between Music Recordings. - Kumar Ashis Pati, Alexander Lerch:
A Dataset and Method for Guitar Solo Detection in Rock Music. - Jose J. Valero-Mas, Emmanouil Benetos, José Manuel Iñesta Quereda:
Assessing the Relevance of Onset Information for Note Tracking in Piano Music Transcription. - Ángel Faraldo, Sergi Jordà, Perfecto Herrera:
A Multi-Profile Method for Key Estimation in EDM. - Filip Korzeniowski, Gerhard Widmer:
On the Futility of Learning Complex Frame-Level Language Models for Chord Recognition. - Meinard Müller, Sebastian Rosenzweig, Jonathan Driedger, Frank Scherbaum:
Interactive Fundamental Frequency Estimation with Applications to Ethnomusicological Research.
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