19972019
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Research Output 1997 2019

2019

End-To-End Source Separation with Adaptive Front-Ends

Venkataramani, S., Casebeer, J. & Smaragdis, P., Feb 19 2019, Conference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018. Matthews, M. B. (ed.). IEEE Computer Society, p. 684-688 5 p. 8645535. (Conference Record - Asilomar Conference on Signals, Systems and Computers; vol. 2018-October).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Source separation
Neural networks
Inverse transforms
Cost functions
Learning systems

Majorization-minimization Algorithms for Convolutive NMF with the Beta-divergence

Fagot, D., Wendt, H., Févotte, C. & Smaragdis, P., May 2019, 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 8202-8206 5 p. 8683837. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2019-May).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Factorization
Experiments
Decomposition
Costs

Multi-view Networks for Multi-channel Audio Classification

Casebeer, J., Wang, Z. & Smaragdis, P., May 2019, 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 940-944 5 p. 8682947. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2019-May).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Acoustic waves
Simulators
Acoustics
Degradation
Geometry

Performance Based Cost Functions for End-to-End Speech Separation

Venkataramani, S., Higa, R. & Smaragdis, P., Mar 4 2019, 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 350-355 6 p. 8659758. (2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Cost functions
Source separation
Blind source separation
Neural networks
Processing

Unsupervised Deep Clustering for Source Separation: Direct Learning from Mixtures Using Spatial Information

Tzinis, E., Venkataramani, S. & Smaragdis, P., May 2019, 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 81-85 5 p. 8683201. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2019-May).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Source separation
Bins
Acoustic waves

VoiceAssist: Guiding users to high-quality voice recordings

Seetharaman, P., Mysore, G., Pardo, B., Smaragdis, P. & Gomes, C., May 2 2019, CHI 2019 - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, (Conference on Human Factors in Computing Systems - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Feedback
Reverberation
Microphones
Acoustic noise
Fans
2018

Bitwise Neural Networks for Efficient Single-Channel Source Separation

Kim, M. & Smaragdis, P., Sep 10 2018, 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 701-705 5 p. 8461824. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2018-April).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Source separation
Neural networks
Speech enhancement
Embedded systems
Masks

Blind Estimation of the Speech Transmission Index for Speech Quality Prediction

Seetharaman, P., Mysore, G. J., Smaragdis, P. & Pardo, B., Sep 10 2018, 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 591-595 5 p. 8461827. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2018-April).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Speech transmission
Impulse response
Speech intelligibility
Pulse code modulation
Neural networks

Dynamic non-negative models for audio source separation

Smaragdis, P., Mysore, G. & Mohammadiha, N., Jan 1 2018, Signals and Communication Technology. Springer, p. 49-71 23 p. (Signals and Communication Technology).

Research output: Chapter in Book/Report/Conference proceedingChapter

Source separation
Acoustic waves
Information use
Hidden Markov models

Efficient source separation using bitwise neural networks

Kim, M. & Smaragdis, P., Jan 1 2018, Signals and Communication Technology. Springer, p. 187-206 20 p. (Signals and Communication Technology).

Research output: Chapter in Book/Report/Conference proceedingChapter

Source separation
Feedforward neural networks
Glossaries
Neural networks
Processing

Generative Adversarial Source Separation

Subakan, Y. C. & Smaragdis, P., Sep 10 2018, 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., Vol. 2018-April. p. 26-30 5 p. 8461671

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Source separation
Factorization
Multilayer neural networks
Maximum likelihood
Experiments

Multi-view networks for denoising of arbitrary numbers of channels

Casebeer, J., Luc, B. & Smaragdis, P., Nov 2 2018, 16th International Workshop on Acoustic Signal Enhancement, IWAENC 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 496-500 5 p. 8521280. (16th International Workshop on Acoustic Signal Enhancement, IWAENC 2018 - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

recording
Neural networks
education
predictions
2017

A neural network alternative to non-negative audio models

Smaragdis, P. & Venkataramani, S., Jun 16 2017, 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 86-90 5 p. 7952123. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Source separation
Factorization
Neural networks
Derivatives

AutoDub: Automatic redubbing for voiceover editing

Venkataramani, S., Smaragdis, P. & Mysore, G., Oct 20 2017, UIST 2017 - Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology. Association for Computing Machinery, Inc, p. 533-538 6 p. (UIST 2017 - Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

User interfaces
Processing

Diagonal rnns in symbolic music modeling

Subakan, Y. C. & Smaragdis, P., Dec 7 2017, 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2017. Institute of Electrical and Electronics Engineers Inc., p. 354-358 5 p. (IEEE Workshop on Applications of Signal Processing to Audio and Acoustics; vol. 2017-October).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Recurrent neural networks
Experiments

Neural network alternatives toconvolutive audio models for source separation

Venkataramani, S., Subakan, C. & Smaragdis, P., Dec 5 2017, 2017 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2017 - Proceedings. Ueda, N., Chien, J-T., Matsui, T., Larsen, J. & Watanabe, S. (eds.). IEEE Computer Society, p. 1-6 6 p. (IEEE International Workshop on Machine Learning for Signal Processing, MLSP; vol. 2017-September).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Source separation
Neural networks
Blind source separation
Recurrent neural networks
Factorization

Towards end-to-end polyphonic music transcription: Transforming music audio directly to a score

Carvalho, R. G. C. & Smaragdis, P., Dec 7 2017, 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2017. Institute of Electrical and Electronics Engineers Inc., p. 151-155 5 p. (IEEE Workshop on Applications of Signal Processing to Audio and Acoustics; vol. 2017-October).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Transcription
Neural networks
Processing
2016

Efficient neighborhood-based topic modeling for collaborative audio enhancement on massive crowdsourced recordings

Kim, M. & Smaragdis, P., May 18 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 41-45 5 p. 7471633. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2016-May).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Array processing
Hamming distance
Sensors
Microphones
Entropy

Neural correlates of training and transfer

Nikolaidis, G. A., Kramer, A., Barbey, A., Sutton, B. & Smaragdis, P., 2016

Research output: Other contribution

Aptitude
Transfer (Psychology)
Auditory Cortex
Executive Function
Brain

Robust source localization and enhancement with a probabilistic steered response power model

Traa, J., Wingate, D., Stein, N. D. & Smaragdis, P., Mar 2016, In : IEEE/ACM Transactions on Audio Speech and Language Processing. 24, 3, p. 493-503 11 p.

Research output: Contribution to journalArticle

Source Localization
Enhancement
Array processing
augmentation
Direction of arrival
2015

Adaptive denoising autoencoders: A fine-tuning scheme to learn from test mixtures

Kim, M. & Smaragdis, P., Jan 1 2015, Latent Variable Analysis and Signal Separation - 12th International Conference, LVA/ICA 2015, Proceedings. Koldovský, Z., Vincent, E., Yeredor, A. & Tichavský, P. (eds.). Springer-Verlag, p. 100-107 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9237).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Source separation
Denoising
Tuning
Scalability
Topology

A state-space approach to dynamic nonnegative matrix factorization

Mohammadiha, N., Smaragdis, P., Panahandeh, G. & Doclo, S., Feb 15 2015, In : IEEE Transactions on Signal Processing. 63, 4, p. 949-959 11 p., 6996052.

Research output: Contribution to journalArticle

Factorization
Maximum likelihood estimation
Hidden Markov models
Kalman filters
Time series

Compositional models for audio processing: Uncovering the structure of sound mixtures

Virtanen, T., Gemmeke, J. F., Raj, B. & Smaragdis, P., Mar 1 2015, In : IEEE Signal Processing Magazine. 32, 2, p. 126-144 19 p., 7038275.

Research output: Contribution to journalArticle

Acoustic waves
Subtraction
Processing
Count
Non-negative

Directional NMF for joint source localization and separation

Traa, J., Smaragdis, P., Stein, N. D. & Wingate, D., Nov 24 2015, 2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2015. Institute of Electrical and Electronics Engineers Inc., 7336944. (2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2015).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Factorization
Chemical activation
Direction of arrival
Beamforming
Experiments

Efficient manifold preserving audio source separation using locality sensitive hashing

Kim, M., Smaragdis, P. & Mysore, G. J., Aug 4 2015, 2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 479-483 5 p. 7178015. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2015-August).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Source separation
Glossaries
Speech enhancement
Hamming distance
Computational complexity

Guest Editorial: Machine Learning for Signal Processing

Sanei, S., Smaragdis, P., Ho, A. T. S., Nandi, A. K. & Larsen, J., Jan 1 2015, In : Journal of Signal Processing Systems. 79, 2, p. 113-116 4 p.

Research output: Contribution to journalEditorial

Learning systems
Signal Processing
Machine Learning
Signal processing

Joint acoustic and spectral modeling for speech dereverberation using non-negative representations

Mohammadiha, N., Smaragdis, P. & Doclo, S., Aug 4 2015, 2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 4410-4414 5 p. 7178804. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2015-August).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Acoustics
Cost functions
Transfer functions
Reverberation
Impulse response
Source separation
Source Separation
Recurrent neural networks
Recurrent Neural Networks
Masks

Method of moments learning for left-to-right Hidden Markov models

Subakan, Y. C., Traa, J., Smaragdis, P. & Hsu, D., Nov 24 2015, 2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2015. Institute of Electrical and Electronics Engineers Inc., 7336940. (2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2015).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hidden Markov models
Method of moments
Experiments

Mixtures of local dictionaries for unsupervised speech enhancement

Kim, M. & Smaragdis, P., Mar 1 2015, In : IEEE Signal Processing Letters. 22, 3, p. 288-292 5 p., 6874558.

Research output: Contribution to journalArticle

Speech Enhancement
Speech enhancement
Glossaries
Non-negative Matrix Factorization
Factorization

Predicting Skill-Based Task Performance and Learning with fMRI Motor and Subcortical Network Connectivity

Nikolaidis, A., Goatz, D., Smaragdis, P. & Kramer, A., Sep 16 2015, Proceedings - 2015 International Workshop on Pattern Recognition in NeuroImaging, PRNI 2015. Institute of Electrical and Electronics Engineers Inc., p. 93-96 4 p. 7270856. (Proceedings - 2015 International Workshop on Pattern Recognition in NeuroImaging, PRNI 2015).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Task Performance and Analysis
Learning systems
Magnetic Resonance Imaging
Learning
Corpus Striatum
2014

Deep learning for monaural speech separation

Huang, P. S., Kim, M., Hasegawa-Johnson, M. & Smaragdis, P., Jan 1 2014, 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014. Institute of Electrical and Electronics Engineers Inc., p. 1562-1566 5 p. 6853860. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Source separation
Recurrent neural networks
Neural networks
Deep learning
Deep neural networks

Efficient model selection for speech enhancement using a deflation method for Nonnegative Matrix Factorization

Kim, M. & Smaragdis, P., Feb 5 2014, 2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014. Institute of Electrical and Electronics Engineers Inc., p. 537-541 5 p. 7032175. (2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Speech enhancement
Factorization
Decomposition
Model structures
Experiments

Experiments on deep learning for speech denoising

Liu, D., Smaragdis, P. & Kim, M., Jan 1 2014, In : Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. p. 2685-2689 5 p.

Research output: Contribution to journalConference article

Denoising
Experiment
Experiments
Signal to noise ratio
Predict

Multichannel source separation and tracking with RANSAC and directional statistics

Traa, J. & Smaragdis, P., Dec 1 2014, In : IEEE/ACM Transactions on Audio Speech and Language Processing. 22, 12, p. 2233-2243 11 p.

Research output: Contribution to journalArticle

Directional Statistics
Source separation
Source Separation
Phase Difference
Kalman filters

Multiple speaker tracking with the Factorial von Mises-Fisher Filter

Traa, J. & Smaragdis, P., Nov 14 2014, IEEE International Workshop on Machine Learning for Signal Processing, MLSP. Adali, T., Larsen, J., Mboup, M. & Moreau, E. (eds.). IEEE Computer Society, 6958891. (IEEE International Workshop on Machine Learning for Signal Processing, MLSP).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Direction of arrival
Microphones
Computational efficiency
Target tracking
Kalman filters

Phase and level difference fusion for robust multichannel source separation

Traa, J., Kim, M. & Smaragdis, P., Jan 1 2014, 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014. Institute of Electrical and Electronics Engineers Inc., p. 6687-6691 5 p. 6854894. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Source separation
Microphones
Fusion reactions

Robust interchannel phase difference modeling with wrapped regression splines

Traa, J. & Smaragdis, P., Jan 1 2014, 2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, SAM 2014. IEEE Computer Society, p. 69-72 4 p. 6882340. (Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Splines
Source separation
Reverberation
Microphones
Calibration

Singing-voice separation from monaural recordings using deep recurrent neural networks

Huang, P. S., Kim, M., Hasegawa-Johnson, M. A. & Smaragdis, P., Jan 1 2014, p. 477-482. 6 p.

Research output: Contribution to conferencePaper

Recurrent neural networks
Source separation
Recurrent Neural Networks

Spectral learning of mixture of hidden Markov models

Sübakan, Y. C., Traa, J. & Smaragdis, P., Jan 1 2014, In : Advances in Neural Information Processing Systems. 3, January, p. 2249-2257 9 p.

Research output: Contribution to journalConference article

Hidden Markov models
Method of moments

Static and dynamic source separation using nonnegative factorizations: A unified view

Smaragdis, P., Fevotte, C., Mysore, G. J., Mohammadiha, N. & Hoffman, M., May 2014, In : IEEE Signal Processing Magazine. 31, 3, p. 66-75 10 p., 6784107.

Research output: Contribution to journalArticle

Source separation
Source Separation
Factorization
Non-negative
Decomposition
2013

Blind multi-channel source separation by circular-linear statistical modeling of phase differences

Traa, J. & Smaragdis, P., Oct 18 2013, 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings. p. 4320-4324 5 p. 6638475. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Source separation
Microphones
Reverberation
Acoustic noise

Collaborative audio enhancement using probabilistic latent component sharing

Kim, M. & Smaragdis, P., Oct 18 2013, 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings. p. 896-900 5 p. 6637778. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Factorization
Processing
Experiments

EMERALD: Characterization of emerging applications and algorithms for low-power devices

Zhang, C., Ko, G. G., Choi, J. W., Tsai, S. N., Kim, M., Rivera, A. G., Rutenbar, R., Smaragdis, P., Park, M. S., Narayanan, V., Xin, H., Mutlu, O., Li, B., Zhao, L., Chen, M. & Iyer, R., Aug 19 2013, ISPASS 2013 - IEEE International Symposium on Performance Analysis of Systems and Software. p. 122-123 2 p. 6557154. (ISPASS 2013 - IEEE International Symposium on Performance Analysis of Systems and Software).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Retail stores
Automotive industry
Particle accelerators
Learning systems
Hardware

Low-artifact source separation using probabilistic latent component analysis

Mohammadiha, N., Smaragdis, P. & Leijon, A., Dec 1 2013, 2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2013. 6701837. (IEEE Workshop on Applications of Signal Processing to Audio and Acoustics).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Source separation
Glossaries

Manifold preserving hierarchical topic models for quantization and approximation

Kim, M. & Smaragdis, P., Jan 1 2013, p. 2410-2418. 9 p.

Research output: Contribution to conferencePaper

Source separation
Interpolation
experiment
Experiments

Non-negative matrix factorization for irregularly-spaced transforms

Smaragdis, P. & Kim, M., Dec 1 2013, 2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2013. 6701845. (IEEE Workshop on Applications of Signal Processing to Audio and Acoustics).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Factorization
Wavelet transforms
Decomposition

Prediction based filtering and smoothing to exploit temporal dependencies in NMF

Mohammadiha, N., Smaragdis, P. & Leijon, A., Oct 18 2013, 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings. p. 873-877 5 p. 6637773. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Source separation
Speech processing
Factorization
Industrial plants
Experiments

Preface

Sanei, S., Smaragdis, P., Nandi, A. & Anthony, T. H., Dec 1 2013, In : IEEE International Workshop on Machine Learning for Signal Processing, MLSP. 6661891.

Research output: Contribution to journalEditorial

Privacy-preserving speech processing: Cryptographic and string-matching frameworks show promise

Pathak, M. A., Raj, B., Rane, S. & Smaragdis, P., Jan 1 2013, In : IEEE Signal Processing Magazine. 30, 2, p. 62-74 13 p., 6461630.

Research output: Contribution to journalArticle

Speech Processing
Speech processing
String Matching
Privacy Preserving
Authentication