Fast Continuous Haar and Fourier Transforms of Rectilinear Polygons from VLSI Layouts - Robin Scheibler; Paul Hurley; Amina Chebira (CoRR, 2010)

Pruned Continuous Haar Transform of 2D Polygonal Patterns with Application to VLSI Layouts - Robin Scheibler; Paul Hurley; Amina Chebira (CoRR, 2011)

A fast Hadamard transform for signals with sub-linear sparsity. - Robin Scheibler; Saeid Haghighatshoar; Martin Vetterli (Allerton, 2013)

The Fukushima inverse problem. - Marta Martinez-Camara; Ivan Dokmanic; Juri Ranieri; Robin Scheibler; Martin Vetterli; Andreas Stohl (ICASSP, 2013)

Raking echoes in the time domain. - Robin Scheibler; Ivan Dokmanic; Martin Vetterli (ICASSP, 2015)

Raking the Cocktail Party. - Ivan Dokmanic; Robin Scheibler; Martin Vetterli (IEEE J. Sel. Top. Signal Process., 2015)

A Fast Hadamard Transform for Signals With Sublinear Sparsity in the Transform Domain. - Robin Scheibler; Saeid Haghighatshoar; Martin Vetterli (IEEE Trans. Inf. Theory, 2015)

The recursive hessian sketch for adaptive filtering. - Robin Scheibler; Martin Vetterli (ICASSP, 2016)

Hardware and software for reproducible research in audio array signal processing. - Eric Bezzam; Robin Scheibler; Juan Azcarreta; Hanjie Pan; Matthieu Simeoni; Rene Beuchat; Paul Hurley; Basile Bruneau; Corentin Ferry; Sepand Kashani (ICASSP, 2017)

FRIDA: FRI-based DOA estimation for arbitrary array layouts. - Hanjie Pan; Robin Scheibler; Eric Bezzam; Ivan Dokmanic; Martin Vetterli (ICASSP, 2017)

Pyroomacoustics: A Python package for audio room simulations and array processing algorithms. - Robin Scheibler; Eric Bezzam; Ivan Dokmanic (CoRR, 2017)

Rake, Peel, Sketch - The Signal Processing Pipeline Revisited. - Robin Scheibler (2017)

Blinkies: Sound-to-light conversion sensors and their application to speech enhancement and sound source localization. - Robin Scheibler; Daiki Horiike; Nobutaka Ono (APSIPA, 2018)

Combining Range and Direction for Improved Localization. - Gilles Baechler; Frederike Diimbgen; Golnoosh Elhami; Miranda Krekovic; Robin Scheibler; Adam Scholefield; Martin Vetterli (ICASSP, 2018)

Pyroomacoustics: A Python Package for Audio Room Simulation and Array Processing Algorithms. - Robin Scheibler; Eric Bezzam; Ivan Dokmanic (ICASSP, 2018)

Separake: Source Separation with a Little Help from Echoes. - Robin Scheibler; Diego Di Carlo; Antoine Deleforge; Ivan Dokmanic (ICASSP, 2018)

Pyramic: Full Stack Open Microphone Array Architecture and Dataset. - Robin Scheibler; Juan Azcarreta; Rene Beuchat; Corentin Ferry (IWAENC, 2018)

Multi-modal Blind Source Separation with Microphones and Blinkies. - Robin Scheibler; Nobutaka Ono (ICASSP, 2019)

Blink-former: Light-aided beamforming for multiple targets enhancement. - Daiki Horiike; Robin Scheibler; Yukoh Wakabayashi; Nobutaka Ono (MMSP, 2019)

Independent Vector Analysis with More Microphones Than Sources. - Robin Scheibler; Nobutaka Ono (WASPAA, 2019)

Sub-Sample Time Delay Estimation via Auxiliary-Function-Based Iterative Updates. - Kouei Yamaoka; Robin Scheibler; Nobutaka Ono; Yukoh Wakabayashi (WASPAA, 2019)

A Study on More Realistic Room Simulation for Far-Field Keyword Spotting. - Eric Bezzam; Robin Scheibler; Cyril Cadoux; Thibault Gisselbrecht (APSIPA, 2020)

Energy-Based Multiple Source Localization with Blinkies. - Daiki Horiike; Robin Scheibler; Yuma Kinoshita; Yukoh Wakabayashi; Nobutaka Ono (APSIPA, 2020)

Over-determined Speech Source Separation and Dereverberation. - Masahito Togami; Robin Scheibler (APSIPA, 2020)

Acoustic Object Canceller Using Blind Compensation for Sampling Frequency Mismatch. - Takao Kawamura; Nobutaka Ono; Robin Scheibler; Yukoh Wakabayashi; Ryoichi Miyazaki (EUSIPCO, 2020)

Faster independent low-rank matrix analysis with pairwise updates of demixing vectors. - Taishi Nakashima; Robin Scheibler; Yukoh Wakabayashi; Nobutaka Ono (EUSIPCO, 2020)

Fast and Stable Blind Source Separation with Rank-1 Updates. - Robin Scheibler; Nobutaka Ono (ICASSP, 2020)

Fast Independent Vector Extraction by Iterative SINR Maximization. - Robin Scheibler; Nobutaka Ono (ICASSP, 2020)

Generalized Minimal Distortion Principle for Blind Source Separation. - Robin Scheibler (INTERSPEECH, 2020)

Sparseness-Aware DOA Estimation with Majorization Minimization. - Masahito Togami; Robin Scheibler (INTERSPEECH, 2020)

Blinkies: Open Source Sound-to-Light Conversion Sensors for Large-Scale Acoustic Sensing and Applications. - Robin Scheibler; Nobutaka Ono (IEEE Access, 2020)

MM Algorithms for Joint Independent Subspace Analysis with Application to Blind Single and Multi-Source Extraction. - Robin Scheibler; Nobutaka Ono (CoRR, 2020)

Comparison of Low Complexity Self-Attention Mechanisms for Acoustic Event Detection. - Tatsuya Komatsu; Robin Scheibler (APSIPA ASC, 2021)

Over-Determined Semi-Blind Speech Source Separation. - Masahito Togami; Robin Scheibler (APSIPA ASC, 2021)

Multichannel Separation and Classification of Sound Events. - Robin Scheibler; Tatsuya Komatsu; Masahito Togami (EUSIPCO, 2021)

Joint Dereverberation and Separation With Iterative Source Steering. - Taishi Nakashima; Robin Scheibler; Masahito Togami; Nobutaka Ono (ICASSP, 2021)

Surrogate Source Model Learning for Determined Source Separation. - Robin Scheibler; Masahito Togami (ICASSP, 2021)

Refinement of Direction of Arrival Estimators by Majorization-Minimization Optimization on the Array Manifold. - Robin Scheibler; Masahito Togami (ICASSP, 2021)

Sound Source Localization with Majorization Minimization. - Masahito Togami; Robin Scheibler (Interspeech, 2021)

Independent Vector Analysis via Log-Quadratically Penalized Quadratic Minimization. - Robin Scheibler (IEEE Trans. Signal Process., 2021)

Sound Event Localization and Detection with Pre-Trained Audio Spectrogram Transformer and Multichannel Seperation Network. - Robin Scheibler; Tatsuya Komatsu; Yusuke Fujita; Michael Hentschel (DCASE, 2022)

SDR - Medium Rare with Fast Computations. - Robin Scheibler (ICASSP, 2022)

ESPnet-SE++: Speech Enhancement for Robust Speech Recognition, Translation, and Understanding. - Yen-Ju Lu; Xuankai Chang; Chenda Li; Wangyou Zhang; Samuele Cornell; Zhaoheng Ni; Yoshiki Masuyama; Brian Yan; Robin Scheibler; Zhong-Qiu Wang 001; Yu Tsao 001; Yanmin Qian; et al. (INTERSPEECH, 2022)

Independence-based Joint Dereverberation and Separation with Neural Source Model. - Kohei Saijo; Robin Scheibler (INTERSPEECH, 2022)

Spatial Loss for Unsupervised Multi-channel Source Separation. - Kohei Saijo; Robin Scheibler (INTERSPEECH, 2022)

End-to-End Multi-Speaker ASR with Independent Vector Analysis. - Robin Scheibler; Wangyou Zhang; Xuankai Chang; Shinji Watanabe 001; Yanmin Qian (SLT, 2022)

MLP-ASR: Sequence-length agnostic all-MLP architectures for speech recognition. - Jin Sakuma; Tatsuya Komatsu; Robin Scheibler (CoRR, 2022)

Computationally-Efficient Overdetermined Blind Source Separation Based on Iterative Source Steering. - Yicheng Du; Robin Scheibler; Masahito Togami; Kazuyoshi Yoshii; Tatsuya Kawahara (IEEE Signal Process. Lett., 2022)

Neural Diarization with Non-Autoregressive Intermediate Attractors. - Yusuke Fujita; Tatsuya Komatsu; Robin Scheibler; Yusuke Kida; Tetsuji Ogawa (ICASSP, 2023)

Effectiveness of Inter- and Intra-Subarray Spatial Features for Acoustic Scene Classification. - Takao Kawamura; Yuma Kinoshita; Nobutaka Ono; Robin Scheibler (ICASSP, 2023)

Diffusion-Based Generative Speech Source Separation. - Robin Scheibler; Youna Ji; Soo-Whan Chung; Jaeuk Byun; Soyeon Choe; Min-Seok Choi (ICASSP, 2023)

Multi-channel separation of dynamic speech and sound events. - Takuya Fujimura; Robin Scheibler (INTERSPEECH, 2023)

TorchAudio 2.1: Advancing speech recognition, self-supervised learning, and audio processing components for PyTorch. - Jeff Hwang; Moto Hira; Caroline Chen; Xiaohui Zhang 007; Zhaoheng Ni; Guangzhi Sun; Pingchuan Ma 001; Ruizhe Huang; Vineel Pratap; Yuekai Zhang; Anurag Kumar 003; Chin-Yun Yu; et al. (CoRR, 2023)

Software Design and User Interface of ESPnet-SE++: Speech Enhancement for Robust Speech Processing (espnet-v.202310). - Yen-Ju Lu; Xuankai Chang; Chenda Li; Wangyou Zhang; Samuele Cornell; Zhaoheng Ni; Yoshiki Masuyama; Brian Yan; Robin Scheibler; Zhong-Qiu Wang 001; Yu Tsao 001; Yanmin Qian; et al. (Zenodo, 2023)

Software Design and User Interface of ESPnet-SE++: Speech Enhancement for Robust Speech Processing. - Yen-Ju Lu; Xuankai Chang; Chenda Li; Wangyou Zhang; Samuele Cornell; Zhaoheng Ni; Yoshiki Masuyama; Brian Yan; Robin Scheibler; Zhong-Qiu Wang 001; Yu Tsao 001; Yanmin Qian; et al. (J. Open Source Softw., 2023)

Universal Score-based Speech Enhancement with High Content Preservation. - Robin Scheibler; Yusuke Fujita; Yuma Shirahata; Tatsuya Komatsu (INTERSPEECH, 2024)

URGENT Challenge: Universality, Robustness, and Generalizability For Speech Enhancement. - Wangyou Zhang; Robin Scheibler; Kohei Saijo; Samuele Cornell; Chenda Li; Zhaoheng Ni; Jan Pirklbauer; Marvin Sach; Shinji Watanabe 001; Tim Fingscheidt; Yanmin Qian (INTERSPEECH, 2024)

URGENT Challenge: Universality, Robustness, and Generalizability For Speech Enhancement. - Wangyou Zhang; Robin Scheibler; Kohei Saijo; Samuele Cornell; Chenda Li; Zhaoheng Ni; Anurag Kumar 003; Jan Pirklbauer; Marvin Sach; Shinji Watanabe 001; Tim Fingscheidt; Yanmin Qian (CoRR, 2024)

Acoustic scene classification using inter- and intra-subarray spatial features in distributed microphone array. - Takao Kawamura; Yuma Kinoshita; Nobutaka Ono; Robin Scheibler (EURASIP J. Audio Speech Music. Process., 2024)

Miipher-2: A Universal Speech Restoration Model for Million-Hour Scale Data Restoration. - Shigeki Karita; Yuma Koizumi; Heiga Zen; Haruko Ishikawa; Robin Scheibler; Michiel Bacchiani (CoRR, 2025)

ReverbMiipher: Generative Speech Restoration meets Reverberation Characteristics Controllability. - Wataru Nakata; Yuma Koizumi; Shigeki Karita; Robin Scheibler; Haruko Ishikawa; Adriana Guevara-Rukoz; Heiga Zen; Michiel Bacchiani (CoRR, 2025)

Source Separation by Flow Matching. - Robin Scheibler; John R. Hershey; Arnaud Doucet; Henry Li (CoRR, 2025)

Lessons Learned from the URGENT 2024 Speech Enhancement Challenge. - Wangyou Zhang; Kohei Saijo; Samuele Cornell; Robin Scheibler; Chenda Li; Zhaoheng Ni; Anurag Kumar 003; Marvin Sach; Wei Wang 010; Yihui Fu; Shinji Watanabe 001; Tim Fingscheidt; et al. (CoRR, 2025)

Less is More: Data Curation Matters in Scaling Speech Enhancement. - Chenda Li; Wangyou Zhang; Wei Wang 010; Robin Scheibler; Kohei Saijo; Samuele Cornell; Yihui Fu; Marvin Sach; Zhaoheng Ni; Anurag Kumar 003; Tim Fingscheidt; Shinji Watanabe 001; et al. (CoRR, 2025)

URGENT-PK: Perceptually-Aligned Ranking Model Designed for Speech Enhancement Competition. - Jiahe Wang; Chenda Li; Wei Wang 010; Wangyou Zhang; Samuele Cornell; Marvin Sach; Robin Scheibler; Kohei Saijo; Yihui Fu; Zhaoheng Ni; Anurag Kumar 003; Tim Fingscheidt; et al. (CoRR, 2025)

SequenceLayers: Sequence Processing and Streaming Neural Networks Made Easy. - R. J. Skerry-Ryan; Julian Salazar; Soroosh Mariooryad; David Kao; Daisy Stanton; Eric Battenberg; Matt Shannon; Ron J. Weiss; Robin Scheibler; Jonas Rothfuss; Tom Bagby (CoRR, 2025)