Marco Maaß

According to our database1, Marco Maaß authored at least 30 papers between 2014 and 2018.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2018
A Compressed Sensing Framework for Dynamic Sound-Field Measurements.
IEEE/ACM Trans. Audio, Speech & Language Processing, 2018

Compressive Sampling of Sound Fields Using Moving Microphones.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Improved Audio Scene Classification Based on Label-Tree Embeddings and Convolutional Neural Networks.
IEEE/ACM Trans. Audio, Speech & Language Processing, 2017

Audio Scene Classification with Deep Recurrent Neural Networks.
CoRR, 2017

Audio Scene Classification with Deep Recurrent Neural Networks.
Proceedings of the Interspeech 2017, 2017

CNN-LTE: A class of 1-X pooling convolutional neural networks on label tree embeddings for audio scene classification.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Measurement of sound fields using moving microphones.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Multigrid reconstruction of sound fields using moving microphones.
Proceedings of the Hands-free Speech Communications and Microphone Arrays, 2017

What makes audio event detection harder than classification?
Proceedings of the 25th European Signal Processing Conference, 2017

Early prediction of future hand movements using sEMG data.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016
Learning Representations for Nonspeech Audio Events Through Their Similarities to Speech Patterns.
IEEE/ACM Trans. Audio, Speech & Language Processing, 2016

Learning Compact Structural Representations for Audio Events Using Regressor Banks.
CoRR, 2016

What Make Audio Event Detection Harder than Classification?
CoRR, 2016

Robust Audio Event Recognition with 1-Max Pooling Convolutional Neural Networks.
CoRR, 2016

CaR-FOREST: Joint Classification-Regression Decision Forests for Overlapping Audio Event Detection.
CoRR, 2016

CNN-LTE: a Class of 1-X Pooling Convolutional Neural Networks on Label Tree Embeddings for Audio Scene Recognition.
CoRR, 2016

Label Tree Embeddings for Acoustic Scene Classification.
CoRR, 2016

Measurement of Sound Fields Using Moving Microphones.
CoRR, 2016

Label Tree Embeddings for Acoustic Scene Classification.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Robust Audio Event Recognition with 1-Max Pooling Convolutional Neural Networks.
Proceedings of the Interspeech 2016, 2016

Learning compact structural representations for audio events using regressor banks.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Random Regression Forests for Acoustic Event Detection and Classification.
IEEE/ACM Trans. Audio, Speech & Language Processing, 2015

A multi-channel fusion framework for audio event detection.
Proceedings of the 2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2015

Representing nonspeech audio signals through speech classification models.
Proceedings of the INTERSPEECH 2015, 2015

Early event detection in audio streams.
Proceedings of the 2015 IEEE International Conference on Multimedia and Expo, 2015

Audio phrases for audio event recognition.
Proceedings of the 23rd European Signal Processing Conference, 2015

Blind Sparse Motion MRI with Linear Subpixel Interpolation.
Proceedings of the Bildverarbeitung für die Medizin 2015, Algorithmen - Systeme, 2015

Cosine-Sine Modulated Filter Banks for Motion Estimation and Correction.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2015

2014
Acoustic event detection and localization with regression forests.
Proceedings of the INTERSPEECH 2014, 2014

Design of cosine-sine modulated filter banks without DC leakage.
Proceedings of the 19th International Conference on Digital Signal Processing, 2014


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