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Tom Bäckström
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- affiliation: Aalto University, Helsinki, Finland
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2020 – today
- 2024
- [j21]Anna Leschanowsky, Silas Rech, Birgit Popp, Tom Bäckström:
Evaluating privacy, security, and trust perceptions in conversational AI: A systematic review. Comput. Hum. Behav. 159: 108344 (2024) - [c64]Esteban Gómez, Tom Bäckström:
Real-Time Joint Noise Suppression and Bandwidth Extension of Noisy Reverberant Wideband Speech. IWAENC 2024: 6-10 - [i6]Anna Leschanowsky, Silas Rech, Birgit Popp, Tom Bäckström:
Evaluating Privacy, Security, and Trust Perceptions in Conversational AI: A Systematic Review. CoRR abs/2406.09037 (2024) - [i5]Mohammad Hassan Vali, Tom Bäckström:
Unsupervised Panoptic Interpretation of Latent Spaces in GANs Using Space-Filling Vector Quantization. CoRR abs/2410.20573 (2024) - [i4]Luciana Ferrer, Odette Scharenborg, Tom Bäckström:
Good practices for evaluation of machine learning systems. CoRR abs/2412.03700 (2024) - 2023
- [j20]Luca Turchet, Mathieu Lagrange, Cristina Rottondi, György Fazekas, Nils Peters, Jan Østergaard, Frederic Font, Tom Bäckström, Carlo Fischione:
The Internet of Sounds: Convergent Trends, Insights, and Future Directions. IEEE Internet Things J. 10(13): 11264-11292 (2023) - [c63]Esteban Gómez, Mohammad Hassan Vali, Tom Bäckström:
Low-Complexity Real-Time Neural Network for Blind Bandwidth Extension of Wideband Speech. EUSIPCO 2023: 31-35 - [c62]Mohammad Hassan Vali, Tom Bäckström:
Stochastic Optimization of Vector Quantization Methods in Application to Speech and Image Processing. ICASSP 2023: 1-5 - [c61]Joseph Attieh, Abraham Woubie Zewoudie, Vladimir Vlassov, Adrian Flanagan, Tom Bäckström:
Optimizing the Performance of Text Classification Models by Improving the Isotropy of the Embeddings Using a Joint Loss Function. ICDAR (5) 2023: 121-136 - [c60]Mohammad Hassan Vali, Tom Bäckström:
Interpretable Latent Space Using Space-Filling Curves for Phonetic Analysis in Voice Conversion. INTERSPEECH 2023: 306-310 - [i3]Tom Bäckström:
Privacy in Speech Technology. CoRR abs/2305.05227 (2023) - 2022
- [j19]Mohammad Hassan Vali, Tom Bäckström:
NSVQ: Noise Substitution in Vector Quantization for Machine Learning. IEEE Access 10: 13598-13610 (2022) - [c59]Abraham Woubie, Tom Bäckström:
Voice Quality Features for Replay Attack Detection. EUSIPCO 2022: 384-388 - 2021
- [j18]Abraham Woubie, Tom Bäckström:
Federated Learning for Privacy-Preserving Speaker Recognition. IEEE Access 9: 149477-149485 (2021) - [c58]Abraham Woubie, Lauri Koivisto, Tom Bäckström:
Voice-quality Features for Deep Neural Network Based Speaker Verification Systems. EUSIPCO 2021: 176-180 - [c57]Tom Bäckström, Mariem Bouafif Mansali, Pablo Pérez Zarazaga, Meghna Ranjit, Sneha Das, Zied Lachiri:
PyAWNeS-Codec: Speech and audio codec for ad-hoc acoustic wireless sensor networks. EUSIPCO 2021: 1090-1094 - [c56]Pablo Pérez Zarazaga, Mariem Bouafif Mansali, Tom Bäckström, Zied Lachiri:
Cancellation of Local Competing Speaker with Near-Field Localization for Distributed ad-hoc Sensor Network. Interspeech 2021: 676-680 - [c55]Mohammad Hassan Vali, Tom Bäckström:
End-to-End Optimized Multi-Stage Vector Quantization of Spectral Envelopes for Speech and Audio Coding. Interspeech 2021: 3355-3359 - 2020
- [j17]Pablo Pérez Zarazaga, Tom Bäckström, Stephan Sigg:
Acoustic Fingerprints for Access Management in Ad-Hoc Sensor Networks. IEEE Access 8: 166083-166094 (2020) - [c54]Mariem Bouafif Mansali, Tom Bäckström, Zied Lachiri:
Evaluation of Zero Frequency Filtering based Method for Multi-pitch Streaming of Concurrent Speech Signals. EUSIPCO 2020: 286-290 - [c53]Sneha Das, Tom Bäckström, Guillaume Fuchs:
Fundamental Frequency Model for Postfiltering at Low Bitrates in a Transform-Domain Speech and Audio Codec. INTERSPEECH 2020: 2837-2841 - [c52]Anna Leschanowsky, Sneha Das, Tom Bäckström, Pablo Pérez Zarazaga:
Perception of Privacy Measured in the Crowd - Paired Comparison on the Effect of Background Noises. INTERSPEECH 2020: 4651-4655 - [c51]Stephan Sigg, Le Ngu Nguyen, Pablo Pérez Zarazaga, Tom Bäckström:
Provable Consent for Voice User Interfaces. PerCom Workshops 2020: 1-4 - [i2]Abraham Woubie, Pablo Pérez Zarazaga, Tom Bäckström:
Users Perceptions about Teleconferencing Applications Collected through Twitter. CoRR abs/2010.09488 (2020) - [i1]Sneha Das, Tom Bäckström:
Enhancement by postfiltering for speech and audio coding in ad-hoc sensor networks. CoRR abs/2011.03810 (2020)
2010 – 2019
- 2019
- [c50]Pablo Pérez Zarazaga, Tom Bäckström, Stephan Sigg:
Robust and Responsive Acoustic Pairing of Devices Using Decorrelating Time-Frequency Modelling. EUSIPCO 2019: 1-5 - [c49]Tom Bäckström:
Overlap-add Windows with Maximum Energy Concentration for Speech and Audio Processing. ICASSP 2019: 491-495 - [c48]Tom Bäckström:
End-to-End Optimization of Source Models for Speech and Audio Coding Using a Machine Learning Framework. INTERSPEECH 2019: 3401-3405 - [c47]Guillaume Fuchs, Chamran Ashour, Tom Bäckström:
Super-Wideband Spectral Envelope Modeling for Speech Coding. INTERSPEECH 2019: 3411-3415 - [c46]Pablo Pérez Zarazaga, Sneha Das, Tom Bäckström, Vishnu Vidyadhara Raju Vegesna, Anil Kumar Vuppala:
Sound Privacy: A Conversational Speech Corpus for Quantifying the Experience of Privacy. INTERSPEECH 2019: 3720-3724 - 2018
- [j16]Tom Bäckström, Johannes Fischer:
Fast Randomization for Distributed Low-Bitrate Coding of Speech and Audio. IEEE ACM Trans. Audio Speech Lang. Process. 26(1): 19-30 (2018) - [c45]Alexandra Craciun, Tom Bäckström:
Optimal temporal dynamics of MFCCs for low-complexity VAD systems - a case study. ITG Symposium on Speech Communication 2018: 1-5 - [c44]Tom Bäckström:
Speech Coding, Speech Interfaces and IOT - Opportunities and Challenges. ACSSC 2018: 1931-1935 - [c43]Srikanth Korse, Guillaume Fuchs, Tom Bäckström:
GMM-Based Iterative Entropy Coding for Spectral Envelopes of Speech and Audio. ICASSP 2018: 5689-5693 - [c42]Tom Bäckström, Johannes Fischer, Sneha Das:
Dithered Quantization for Frequency-Domain Speech and Audio Coding. INTERSPEECH 2018: 3533-3537 - [c41]Sneha Das, Tom Bäckström:
Postfiltering with Complex Spectral Correlations for Speech and Audio Coding. INTERSPEECH 2018: 3538-3542 - [c40]Sneha Das, Tom Bäckström:
Postfiltering Using Log-Magnitude Spectrum for Speech and Audio Coding. INTERSPEECH 2018: 3543-3547 - 2017
- [j15]Manu Airaksinen, Tom Bäckström, Paavo Alku:
Quadratic Programming Approach to Glottal Inverse Filtering by Joint Norm-1 and Norm-2 Optimization. IEEE ACM Trans. Audio Speech Lang. Process. 25(5): 929-939 (2017) - [c39]Alexandra Craciun, Jouni Paulus, Gökhan Sevkin, Tom Bäckström:
Modeling formant dynamics in speech spectral envelopes. EUSIPCO 2017: 1619-1623 - [c38]Tom Bäckström:
Estimation of the Probability Distribution of Spectral Fine Structure in the Speech Source. INTERSPEECH 2017: 344-348 - [c37]Gökhan Sevkin, Alexandra Craciun, Tom Bäckström:
An Unsupervised Hybrid Approach for Online Detection of Sound Scene Changes in Broadcast Content. Semantic Audio 2017 - 2016
- [j14]Rahim Saeidi, Paavo Alku, Tom Bäckström:
Feature Extraction Using Power-Law Adjusted Linear Prediction With Application to Speaker Recognition Under Severe Vocal Effort Mismatch. IEEE ACM Trans. Audio Speech Lang. Process. 24(1): 42-53 (2016) - [c36]Tom Bäckström, Johannes Fischer:
Coding of Parametric Models with Randomized Quantization in a Distributed Speech and Audio Codec. ITG Symposium on Speech Communication 2016: 1-5 - [c35]Sneha Das, Alexandra Craciun, Tobias Jähnel, Tom Bäckström:
Spectral Envelope Statistics for Source Modeling in Speech Enhancement. ITG Symposium on Speech Communication 2016: 1-5 - [c34]Emma Jokinen, Tom Bäckström:
Noise-adaptive perceptual weighting in the AMR-WB encoder for increased speech loudness in adverse far-end noise conditions. EUSIPCO 2016: 853-857 - [c33]Manu Airaksinen, Lauri Juvela, Tom Bäckström, Paavo Alku:
Automatic Glottal Inverse Filtering with Non-Negative Matrix Factorization. INTERSPEECH 2016: 1039-1043 - [c32]Johannes Fischer, Tom Bäckström:
Joint Enhancement and Coding of Speech by Incorporating Wiener Filtering in a CELP Codec. INTERSPEECH 2016: 1730-1734 - [c31]Tom Bäckström, Florin Ghido, Johannes Fischer:
Blind Recovery of Perceptual Models in Distributed Speech and Audio Coding. INTERSPEECH 2016: 2483-2487 - [c30]Srikanth Korse, Tobias Jähnel, Tom Bäckström:
Entropy Coding of Spectral Envelopes for Speech and Audio Coding Using Distribution Quantization. INTERSPEECH 2016: 2543-2547 - 2015
- [j13]Tom Bäckström:
Decorrelating MVDR Filterbanks Using the Non-Uniform Discrete Fourier Transform. IEEE Signal Process. Lett. 22(4): 479-483 (2015) - [c29]Tobias Jähnel, Tom Bäckström, Benjamin Schubert:
Envelope modeling for speech and audio processing using distribution quantization. EUSIPCO 2015: 584-588 - [c28]Takehiro Moriya, Yutaka Kamamoto, Noboru Harada, Tom Bäckström, Christian R. Helmrich, Guillaume Fuchs:
Harmonic model for MDCT based audio coding with LPC envelope. EUSIPCO 2015: 789-793 - [c27]Johannes Fischer, Tom Bäckström:
Comparison of windowing schemes for speech coding. EUSIPCO 2015: 804-808 - [c26]Alexandra Craciun, Christian Uhle, Tom Bäckström:
An evaluation of stereo speech enhancement methods for different audio-visual scenarios. EUSIPCO 2015: 2048-2052 - [c25]Tom Bäckström, Christian Fischer Pedersen, Johannes Fischer, Grzegorz Pietrzyk:
Finding line spectral frequencies using the fast fourier transform. ICASSP 2015: 5122-5126 - [c24]Tom Bäckström, Christian R. Helmrich:
Arithmetic coding of speech and audio spectra using tcx based on linear predictive spectral envelopes. ICASSP 2015: 5127-5131 - [c23]Emma Jokinen, Jérémie Lecomte, Nadja Schinkel-Bielefeld, Tom Bäckström:
Intelligibility evaluation of speech coding standards in severe background noise and packet loss conditions. ICASSP 2015: 5152-5156 - [c22]Manu Airaksinen, Tom Bäckström, Paavo Alku:
Glottal inverse filtering based on quadratic programming. INTERSPEECH 2015: 2342-2346 - 2014
- [c21]Tom Bäckström, Johannes Fischer, Daniel Boley:
Implementation and evaluation of the Vandermonde transform. EUSIPCO 2014: 71-75 - [c20]Manu Airaksinen, Tom Bäckström, Paavo Alku:
Automatic estimation of the lip radiation effect in glottal inverse filtering. INTERSPEECH 2014: 398-402 - [c19]Christian Fischer Pedersen, Tom Bäckström:
Sparse time-frequency representation of speech by the vandermonde transform. INTERSPEECH 2014: 2248-2252 - [c18]Tom Bäckström, Christian R. Helmrich:
Decorrelated innovative codebooks for ACELP using factorization of autocorrelation matrix. INTERSPEECH 2014: 2794-2798 - 2013
- [j12]Tom Bäckström:
Vandermonde Factorization of Toeplitz Matrices and Applications in Filtering and Warping. IEEE Trans. Signal Process. 61(24): 6257-6263 (2013) - [c17]Tom Bäckström:
Computationally efficient objective function for algebraic codebook optimization in ACELP. INTERSPEECH 2013: 3434-3438 - [c16]Tom Bäckström:
Comparison of windowing in speech and audio coding. WASPAA 2013: 1-4 - 2012
- [c15]Tom Bäckström:
Enumerative Algebraic Coding for ACELP. INTERSPEECH 2012: 931-934
2000 – 2009
- 2009
- [j11]Carlo Magi, Jouni Pohjalainen, Tom Bäckström, Paavo Alku:
Stabilised weighted linear prediction. Speech Commun. 51(5): 401-411 (2009) - [c14]Tom Bäckström, Stefan Bayer, Sascha Disch:
Pitch variation estimation. INTERSPEECH 2009: 2595-2598 - [c13]Tom Bäckström, Sascha Disch:
Parametric AM/FM decomposition for speech and audio coding. WASPAA 2009: 333-336 - 2008
- [j10]Carlo Magi, Tom Bäckström, Paavo Alku:
Simple proofs of root locations of two symmetric linear prediction models. Signal Process. 88(7): 1894-1897 (2008) - [c12]Paavo Alku, Carlo Magi, Tom Bäckström:
DC-constrained linear prediction for glottal inverse filtering. INTERSPEECH 2008: 2861-2864 - 2007
- [j9]Tom Bäckström, Carlo Magi, Paavo Alku:
Minimum Separation of Line Spectral Frequencies. IEEE Signal Process. Lett. 14(2): 145-147 (2007) - [j8]Tom Bäckström, Carlo Magi:
Effect of White-Noise Correction on Linear Predictive Coding. IEEE Signal Process. Lett. 14(2): 148-151 (2007) - [c11]Carlo Magi, Tom Bäckström, Paavo Alku:
Stabilised weighted linear prediction - a robust all-pole method for speech processing. INTERSPEECH 2007: 522-525 - 2006
- [j7]Tom Bäckström, Carlo Magi:
Properties of line spectrum pair polynomials - A review. Signal Process. 86(11): 3286-3298 (2006) - 2005
- [c10]Tom Bäckström:
Line spectral properties of quadratic models. EUSIPCO 2005: 1-4 - [c9]Tom Bäckström, Matti Airas, Laura Lehto, Paavo Alku:
Objective Quality Measures for Glottal Inverse Filtering of Speech Pressure Signals. ICASSP (1) 2005: 897-900 - [c8]Paavo Alku, Matti Airas, Tom Bäckström, Hannu Pulakka:
Group delay function as a means to assess quality of glottal inverse filtering. INTERSPEECH 2005: 1053-1056 - [c7]Matti Airas, Hannu Pulakka, Tom Bäckström, Paavo Alku:
A toolkit for voice inverse filtering and parametrisation. INTERSPEECH 2005: 2145-2148 - 2004
- [j6]Paavo Alku, Tom Bäckström:
Linear predictive method for improved spectral modeling of lower frequencies of speech with small prediction orders. IEEE Trans. Speech Audio Process. 12(2): 93-99 (2004) - [j5]Tom Bäckström, Paavo Alku, Tuomas Paatero, W. Bastiaan Kleijn:
A time-domain interpretation for the LSP decomposition. IEEE Trans. Speech Audio Process. 12(6): 554-560 (2004) - 2003
- [j4]Tom Bäckström, Paavo Alku:
A constrained linear predictive model with the minimum-phase property. Signal Process. 83(10): 2259-2264 (2003) - [j3]W. Bastiaan Kleijn, Tom Bäckström, Paavo Alku:
On line spectral frequencies. IEEE Signal Process. Lett. 10(3): 75-77 (2003) - [j2]Tom Bäckström, Paavo Alku:
All-pole modeling technique based on weighted sum of LSP polynomials. IEEE Signal Process. Lett. 10(6): 180-183 (2003) - [c6]Paavo Alku, Tom Bäckström:
All-pole modeling of wide-band speech with symmetric linear prediction. ICASSP (1) 2003: 152-155 - [c5]Tom Bäckström, Paavo Alku:
On the stability of constrained linear predictive models. ICASSP (6) 2003: 285-288 - [c4]Paavo Alku, Tom Bäckström:
Linear predictive method with low-frequency emphasis. INTERSPEECH 2003: 433-436 - 2002
- [j1]Tom Bäckström, Paavo Alku, Erkki Vilkman:
Time-domain parameterization of the closing phase of glottal airflow waveform from voices over a large intensity range. IEEE Trans. Speech Audio Process. 10(3): 186-192 (2002) - [c3]Tom Bäckström, Paavo Alku, W. Bastiaan Kleijn:
A time domain reformulation of linear prediction equivalent to the LSP decomposition. ICASSP 2002: 661-664 - [c2]Paavo Alku, Tom Bäckström:
All-pole modeling technique based on the Weighted Sum of the LSP polynomials. ICASSP 2002: 665-668 - [c1]Paavo Alku, Tom Bäckström:
All-pole modeling of wide-band speech using weighted sum of the LSP polynomials. INTERSPEECH 2002: 977-980
Coauthor Index
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