Keywords:
- Acoustic reverberation sparsity models
- Ad hoc array calibration
- Ad-hoc microphone array
- Automatic prosodic event detection
- Automatic Speech Recognition
- automatic speech recognition (ASR)
- Autoregressive modeling
- Beamforming
- Binary pattern matching
- cognition
- Compressive Acoustic Measurements
- Compressive sampling
- Compressive Sensing
- continuous F0 coding
- Convex optimization
- Convolutive source separation
- Deep neural network
- Deep neural network (DNN)
- Deep neural network posterior features
- Deep neural network posterior probabilities
- deep neural networks
- Dictionary learning
- Diffuse sound field
- Distant speech recognition
- Distributed source localization.
- Euclidean distance matrix
- exemplar-based modeling
- far-field asr
- Fast $k$NN
- Generalized cross correlation
- Generalized Trust Region Subproblem (GTRS).
- hidden variable
- Image Model
- Joint sparse recovery
- k-nearest neighbor (kNN) search
- Keyword Detection
- kNN classifier
- Least square solution.
- Linguistic parsing
- Low bit rate speech vocoding
- low-rank representation (LRR)
- low-rank sparsity
- Matrix completion
- microphone array
- Microphone array calibration
- missing data
- Model-Based Compressive Sensing
- Model-based sparse component analysis
- Model-based sparse recovery
- models
- Multi-party Speech
- Multi-party Speech Recognition
- Multi-speaker Localization
- nearest neighbour rule of classification.
- Non-negative matrix factorization
- Over-determined linear equation
- Overlapping Speech
- Pairwise distance estimation
- Phase transform
- Phone posterior
- Phoneme classification
- Phonological features
- Phonological posterior
- phonological posteriors
- posterior feature
- Posterior feature space
- Posterior hashing
- posterior probability
- Posterior probability structures
- Posterior representatives
- posterior space properties
- posterior-based metrics
- Pronunciation dewarping
- Quantized posterior hashing
- query by example
- Reverberant enclosure
- Reverberation
- Robust microphone placement
- Room acoustic characterization
- Room acoustic estimation
- Room Geometry
- Room geometry estima- tion
- Single-channel source localization
- skew- symmetric matrices
- soft targets
- Source localization
- sparse coding
- Sparse Component Analysis
- Sparse modeling
- Sparse Recovery
- sparse representation
- Sparse Signal Recovery
- Sparse word posterior probabilities
- Speaker localization
- speaker verification
- Spectrographic sparsity models
- Speech
- speech coding
- Speech dereverberation
- speech perception
- speech production
- speech recognition
- Speech source localization
- speech sparsity
- Speech spectral structures
- spiking neural networks
- spoken term detection
- Structural similarity measure
- Structured Sparse Coding
- Structured sparse representation
- Structured sparsity
- structured sparsity models
- Subspace detection
- synchronisation
- TDOA denoising
- TDOA estimation
- un- derdetermined convolutive speech separation
- Very low bit rate speech coding
- word emphasis
Publications of Afsaneh Asaei
2015
Novel GCC-PHAT Model in Diffuse Sound Field for Microphone Array Pairwise Distance Based Calibration, , , , , , and , in: IEEE 40th International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 2669-2673, 2015 |
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On Application Of Non-Negative Matrix Factorization for Ad Hoc Microphone Array Calibration from Incomplete Noisy Distances, , , , and , in: IEEE 40th International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 2694-2698, IEEE, 2015 |
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On Compressibility of Neural Network phonological Features for Low Bit Rate Speech Coding, , and , in: Proceeding of Interspeech, pages 418-422, ISCA, 2015 |
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Robust Microphone Placement for Source Localization from Noisy Distance Measurements, , , , and , in: IEEE 40th International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 2579-2583, IEEE, 2015 |
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Sparse Modeling of Neural Network Posterior Probabilities for Exemplar-Based Speech Recognition, , and , in: Proceedings of SPARS 2015: Workshop on Signal Processing with Adaptive Sparse Structured Representations, 2015 |
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Sparse Modeling of Posterior Exemplars for Keyword Detection, , , and , in: Proceedings of Interspeech, pages 3690-3694, 2015 |
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Spatial Sound Localization via Multipath Euclidean Distance Matrix Recovery, , , , and , in: IEEE Journal of Selected Topics in Signal Processing, 9(5):802-814, 2015 |
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2014
Ad-Hoc Microphone Array Calibration from Partial Distance Measurements, , , and , in: Proceeding of 4th Joint Workshop on Hands-free Speech Communication and Microphone Arrays, 2014 |
Ad-Hoc Microphone Array Calibration from Partial Distance Measurements, , , and , in: Proceedings of the 4th Joint Workshop on Hands-free speech communication and Microphone Arrays, Villers-les-Nancy, pages 1 - 5, IEEE, 2014 |
[DOI] |
Exemplar-based Sparse Representation for Posterior Features, , and , Idiap-RR-11-2014 |
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Model-based Sparse Component Analysis for Reverberant Speech Localization, , , and , in: 2014 IEEE International Conference on Acoustics, Speech and Signal Processing, pages 1439 - 1443, IEEE, 2014 |
[DOI] |
Posterior-based Sparse Representation for Automatic Speech Recognition, , , and , in: Proceeding of Interspeech, 2014 |
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Structured Sparsity Models for Reverberant Speech Separation, , , and , in: IEEE/ACM Transaction on Audio, Speech and Language Processing, 2014 |
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2013
A Multipath Sparse Beamfroming Method, , , and , in: Signal Processing with Adaptive Sparse Structured Representations SPARS, 2013 |
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Convexity in source separation: Models, geometry, and algorithms, , , , and , in: IEEE Signal Processing Magazine, Special Issue on Source Separation and Applications, 2013 |
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Manifold Sparse Beamforming, , and , in: IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, Saint Martin, France, pages 113-116, IEEE, 2013 |
[DOI] |
Model-based Sparse Component Analysis for Multiparty Distant Speech Recognition, , École Polytechnique Fédérale de Lausanne, 2013 |
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Structured Sparse Acoustic Modeling for Speech Separation, , , and , in: Signal Processing with Adaptive Sparse Structured Representations SPARS, SPARS, 2013 |
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2012
A Method, Apparatus and Computer Program for Determining the Location of a Plurality of Speech Source, , and , in: 2012US-13/654055, 2012 |
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Computational Methods For Structured Sparse Component Analysis of Convolutive Speech Mixtures, , , and , in: Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing, 2012 |
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Structured Sparse Coding for Microphone Array Location Calibration, , , and , in: SAPA-SCALE Conference, The 5th ISCA workshop on statistical and perceptual audition, 2012 |
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2011
AN INTEGRATED FRAMEWORK FOR MULTI-CHANNEL MULTI-SOURCE LOCALIZATION AND VOICE ACTIVITY DETECTION, , , , and , Idiap-RR-16-2011 |
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An Integrated Framework for Multi-Channel Multi-Source Localization and Voice Activity Detection, , , , and , in: The Third Joint Workshop on Hands-free Speech Communication and Microphone Arrays, 2011 |
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Model-Based Compressive Sensing for Multi-Party Distant Speech Recognition, , and , Idiap-RR-04-2011 |
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Model-based Compressive Sensing for Multi-party Distant Speech Recognition, , and , in: 2011 IEEE International Conference on Acoustics, Speech and Signal Processing, 2011 |
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Multi-party Speech Recovery Exploiting Structured Sparsity Models, , , and , Idiap-RR-22-2011 |
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Multi-party Speech Recovery Exploiting Structured Sparsity Models, , , and , in: Proceedings of Interspeech, 2011 |
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2010
Analysis of Phone Posterior Feature Space Exploiting Class Specific Sparsity and MLP-based Similarity Measure, , and , in: 2010 IEEE International Conference on Acoustics, Speech and Signal Processing, 2010 |
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Investigation of kNN Classifier on Posterior Features Towards Application in Automatic Speech Recognition, , and , Idiap-RR-11-2010 |
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Sparse Component Analysis for Speech Recognition in Multi-Speaker Environment, , and , in: Proceedings of Interspeech, Makuhari, Japan, 2010 |
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2009
Verified Speaker Localization Utilizing Voicing Level in Split-bands, , , and , in: Signal Processing, 89(6):1038-1049, 2009 |
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