Learning sound representations using trainable COPE feature extractors

[1]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[2]  A. Palmer,et al.  Phase-locking in the cochlear nerve of the guinea-pig and its relation to the receptor potential of inner hair-cells , 1986, Hearing Research.

[3]  Brian R Glasberg,et al.  Derivation of auditory filter shapes from notched-noise data , 1990, Hearing Research.

[4]  R. Patterson,et al.  Complex Sounds and Auditory Images , 1992 .

[5]  Katharina Morik,et al.  Combining Statistical Learning with a Knowledge-Based Approach - A Case Study in Intensive Care Monitoring , 1999, ICML.

[6]  Climent Nadeu,et al.  Time and frequency filtering of filter-bank energies for robust HMM speech recognition , 2000, Speech Commun..

[7]  Avery Wang,et al.  An Industrial Strength Audio Search Algorithm , 2003, ISMIR.

[8]  Guodong Guo,et al.  Content-based audio classification and retrieval by support vector machines , 2003, IEEE Trans. Neural Networks.

[9]  Renate Sitte,et al.  Comparison of techniques for environmental sound recognition , 2003, Pattern Recognit. Lett..

[10]  Vladimir Vapnik,et al.  Support-vector networks , 2004, Machine Learning.

[11]  Yoshua Bengio,et al.  Inference for the Generalization Error , 1999, Machine Learning.

[12]  Chloé Clavel,et al.  Events Detection for an Audio-Based Surveillance System , 2005, 2005 IEEE International Conference on Multimedia and Expo.

[13]  Pedro Cano,et al.  A Review of Audio Fingerprinting , 2005, J. VLSI Signal Process..

[14]  Mohan S. Kankanhalli,et al.  Audio Based Event Detection for Multimedia Surveillance , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

[15]  E. Lopez-Poveda,et al.  A Biophysical Model of the Inner Hair Cell: The Contribution of Potassium Currents to Peripheral Auditory Compression , 2006, Journal of the Association for Research in Otolaryngology.

[16]  Rainer Stiefelhagen,et al.  The CLEAR 2006 Evaluation , 2006, CLEAR.

[17]  François Pachet,et al.  The bag-of-frames approach to audio pattern recognition: a sufficient model for urban soundscapes but not for polyphonic music. , 2007, The Journal of the Acoustical Society of America.

[18]  Jhing-Fa Wang,et al.  Robust Environmental Sound Recognition for Home Automation , 2008, IEEE Transactions on Automation Science and Engineering.

[19]  Asma Rabaoui,et al.  Using One-Class SVMs and Wavelets for Audio Surveillance , 2008, IEEE Transactions on Information Forensics and Security.

[20]  João Paulo da Silva Neto,et al.  Non-speech audio event detection , 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

[21]  Shrikanth Narayanan,et al.  Environmental Sound Recognition With Time–Frequency Audio Features , 2009, IEEE Transactions on Audio, Speech, and Language Processing.

[22]  Michael Elad,et al.  Double Sparsity: Learning Sparse Dictionaries for Sparse Signal Approximation , 2010, IEEE Transactions on Signal Processing.

[23]  Mert Bay,et al.  The Music Information Retrieval Evaluation eXchange: Some Observations and Insights , 2010, Advances in Music Information Retrieval.

[24]  N. Noury,et al.  Challenges in the processing of audio channels for Ambient Assisted Living , 2010, The 12th IEEE International Conference on e-Health Networking, Applications and Services.

[25]  Richard F. Lyon,et al.  Sparse coding of auditory features for machine hearing in interference , 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[26]  Leslie S. Smith,et al.  Biologically-inspired neural coding of sound onset for a musical sound classification task , 2011, The 2011 International Joint Conference on Neural Networks.

[27]  Marcel F. Jonkman,et al.  Learning effective color features for content based image retrieval in dermatology , 2011, Pattern Recognit..

[28]  Zhouyu Fu,et al.  A Survey of Audio-Based Music Classification and Annotation , 2011, IEEE Transactions on Multimedia.

[29]  Juan José Burred,et al.  Audio event detection based on layered symbolic sequence representations , 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[30]  Bhiksha Raj,et al.  Audio event detection from acoustic unit occurrence patterns , 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[31]  George Azzopardi,et al.  A CORF computational model of a simple cell that relies on LGN input outperforms the Gabor function model , 2012, Biological Cybernetics.

[32]  Murat Akbacak,et al.  Bag-of-Audio-Words Approach for Multimedia Event Classification , 2012, INTERSPEECH.

[33]  Sébastien Marcel,et al.  A Fast Parts-Based Approach to Speaker Verification Using Boosted Slice Classifiers , 2012, IEEE Transactions on Information Forensics and Security.

[34]  C.-C. Jay Kuo,et al.  Environmental sound recognition: A survey , 2013, 2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference.

[35]  Alessia Saggese,et al.  Audio surveillance using a bag of aural words classifier , 2013, 2013 10th IEEE International Conference on Advanced Video and Signal Based Surveillance.

[36]  George Azzopardi,et al.  Trainable COSFIRE Filters for Keypoint Detection and Pattern Recognition , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[37]  Chng Eng Siong,et al.  Image Feature Representation of the Subband Power Distribution for Robust Sound Event Classification , 2013, IEEE Transactions on Audio, Speech, and Language Processing.

[38]  Ning Ma,et al.  The PASCAL CHiME speech separation and recognition challenge , 2013, Comput. Speech Lang..

[39]  Dan Stowell,et al.  A database and challenge for acoustic scene classification and event detection , 2013, 21st European Signal Processing Conference (EUSIPCO 2013).

[40]  Benjamin Schrauwen,et al.  Deep content-based music recommendation , 2013, NIPS.

[41]  Alessia Saggese,et al.  Cascade classifiers trained on gammatonegrams for reliably detecting audio events , 2014, 2014 11th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS).

[42]  Alessia Saggese,et al.  Exploiting the deep learning paradigm for recognizing human actions , 2014, 2014 11th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS).

[43]  Gernot A. Fink,et al.  A Bag-of-Features approach to acoustic event detection , 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[44]  Tanja Schultz,et al.  Automatic speech recognition for under-resourced languages: A survey , 2014, Speech Commun..

[45]  Yu Tsao,et al.  Sparse representation based on a bag of spectral exemplars for acoustic event detection , 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[46]  Laurent Girin,et al.  Sound representation and classification benchmark for domestic robots , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

[47]  Karol J. Piczak Environmental sound classification with convolutional neural networks , 2015, 2015 IEEE 25th International Workshop on Machine Learning for Signal Processing (MLSP).

[48]  Liang Lin,et al.  Deep feature learning with relative distance comparison for person re-identification , 2015, Pattern Recognit..

[49]  Gernot A. Fink,et al.  Temporal Acoustic Words for Online Acoustic Event Detection , 2015, GCPR.

[50]  Dan Stowell,et al.  Detection and Classification of Acoustic Scenes and Events , 2015, IEEE Transactions on Multimedia.

[51]  Nicolai Petkov,et al.  Reliable detection of audio events in highly noisy environments , 2015, Pattern Recognit. Lett..

[52]  George Azzopardi,et al.  Filter-Based Approach for Ornamentation Detection and Recognition in Singing Folk Music , 2015, CAIP.

[53]  Huy Phan,et al.  Audio phrases for audio event recognition , 2015, 2015 23rd European Signal Processing Conference (EUSIPCO).

[54]  Nicolai Petkov,et al.  Bio-Inspired Filters for Audio Analysis , 2015, BrainComp.

[55]  Karol J. Piczak ESC: Dataset for Environmental Sound Classification , 2015, ACM Multimedia.

[56]  Geoffrey E. Hinton,et al.  Deep Learning , 2015, Nature.

[57]  Yifan Gong,et al.  An analysis of convolutional neural networks for speech recognition , 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[58]  George Azzopardi,et al.  Trainable COSFIRE filters for vessel delineation with application to retinal images , 2015, Medical Image Anal..

[59]  Huy Phan,et al.  Comparing time and frequency domain for audio event recognition using deep learning , 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

[60]  Nicolai Petkov,et al.  Time-frequency analysis for audio event detection in real scenarios , 2016, 2016 13th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS).

[61]  Nicolai Petkov,et al.  Audio Surveillance of Roads: A System for Detecting Anomalous Sounds , 2016, IEEE Transactions on Intelligent Transportation Systems.

[62]  Vittorio Murino,et al.  Audio Surveillance , 2014, ACM Comput. Surv..

[63]  George Azzopardi,et al.  Supervised vessel delineation in retinal fundus images with the automatic selection of B-COSFIRE filters , 2016, Machine Vision and Applications.

[64]  Antonio Torralba,et al.  SoundNet: Learning Sound Representations from Unlabeled Video , 2016, NIPS.

[65]  George Azzopardi,et al.  Unsupervised delineation of the vessel tree in retinal fundus images , 2016 .

[66]  Gorjan Alagic,et al.  #p , 2019, Quantum information & computation.

[67]  Luiz Eduardo Soares de Oliveira,et al.  Learning features for offline handwritten signature verification using deep convolutional neural networks , 2017, Pattern Recognit..

[68]  George Azzopardi,et al.  Detection of curved lines with B-COSFIRE filters: A case study on crack delineation , 2017, CAIP.

[69]  Huy Phan,et al.  Improved Audio Scene Classification Based on Label-Tree Embeddings and Convolutional Neural Networks , 2017, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

[70]  John Robinson,et al.  Environmental Sound Recognition Using Masked Conditional Neural Networks , 2017, ADMA.

[71]  Nicolai Petkov,et al.  Delineation of line patterns in images using B-COSFIRE filters , 2017, 2017 International Conference and Workshop on Bioinspired Intelligence (IWOBI).

[72]  Anastasios Tefas,et al.  Neural Bag-of-Features learning , 2017, Pattern Recognit..

[73]  Alessandro Neri,et al.  Enhancing audio surveillance with hierarchical recurrent neural networks , 2017, 2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS).

[74]  Jianbo Su,et al.  Sparse embedded dictionary learning on face recognition , 2017, Pattern Recognit..

[75]  K. Mikolajczyk,et al.  Higher-Order Occurrence Pooling for Bags-of-Words: Visual Concept Detection. , 2017, IEEE transactions on pattern analysis and machine intelligence.

[76]  Gernot A. Fink,et al.  Bag-of-Features Methods for Acoustic Event Detection and Classification , 2017, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

[77]  Jiwen Lu,et al.  Group-aware deep feature learning for facial age estimation , 2017, Pattern Recognit..

[78]  George Azzopardi,et al.  Brain-inspired robust delineation operator , 2018, ECCV Workshops.

[79]  Nicolai Petkov,et al.  Learning skeleton representations for human action recognition , 2019, Pattern Recognition Letters.

[80]  Tsuyoshi Murata,et al.  {m , 1934, ACML.