Real-time moving objects tracking for mobile-robots using motion information. - Mahmoud A. Mohamed; Christoph Böddeker; Bärbel Mertsching (SSRR, 2014)

Blind speech separation based on complex spherical k-mode clustering. - Lukas Drude; Christoph Böddeker; Reinhold Haeb-Umbach (ICASSP, 2016)

Optimizing neural-network supported acoustic beamforming by algorithmic differentiation. - Christoph Böddeker; Patrick Hanebrink; Lukas Drude; Jahn Heymann; Reinhold Haeb-Umbach (ICASSP, 2017)

Beamnet: End-to-end training of a beamformer-supported multi-channel ASR system. - Jahn Heymann; Lukas Drude; Christoph Böddeker; Patrick Hanebrink; Reinhold Haeb-Umbach (ICASSP, 2017)

Multi-stage coherence drift based sampling rate synchronization for acoustic beamforming. - Joerg Schmalenstroeer; Jahn Heymann; Lukas Drude; Christoph Böddeker; Reinhold Haeb-Umbach (MMSP, 2017)

On the Computation of Complex-valued Gradients with Application to Statistically Optimum Beamforming. - Christoph Böddeker; Patrick Hanebrink; Lukas Drude; Jahn Heymann; Reinhold Haeb-Umbach (CoRR, 2017)

NARA-WPE: A Python package for weighted prediction error dereverberation in Numpy and Tensorflow for online and offline processing. - Lukas Drude; Jahn Heymann; Christoph Böddeker; Reinhold Haeb-Umbach (ITG Symposium on Speech Communication, 2018)

Exploring Practical Aspects of Neural Mask-Based Beamforming for Far-Field Speech Recognition. - Christoph Böddeker; Hakan Erdogan; Takuya Yoshioka; Reinhold Haeb-Umbach (ICASSP, 2018)

Integrating Neural Network Based Beamforming and Weighted Prediction Error Dereverberation. - Lukas Drude; Christoph Böddeker; Jahn Heymann; Reinhold Haeb-Umbach; Keisuke Kinoshita; Marc Delcroix; Tomohiro Nakatani (INTERSPEECH, 2018)

An Investigation into the Effectiveness of Enhancement in ASR Training and Test for Chime-5 Dinner Party Transcription. - Catalin Zorila; Christoph Böddeker; Rama Doddipatla; Reinhold Haeb-Umbach (ASRU, 2019)

Guided Source Separation Meets a Strong ASR Backend: Hitachi/Paderborn University Joint Investigation for Dinner Party ASR. - Naoyuki Kanda; Christoph Böddeker; Jens Heitkaemper; Yusuke Fujita; Shota Horiguchi; Kenji Nagamatsu; Reinhold Haeb-Umbach (INTERSPEECH, 2019)

SMS-WSJ: Database, performance measures, and baseline recipe for multi-channel source separation and recognition. - Lukas Drude; Jens Heitkaemper; Christoph Böddeker; Reinhold Haeb-Umbach (CoRR, 2019)

Jointly Optimal Dereverberation and Beamforming. - Christoph Böddeker; Tomohiro Nakatani; Keisuke Kinoshita; Reinhold Haeb-Umbach (ICASSP, 2020)

Demystifying TasNet: A Dissecting Approach. - Jens Heitkaemper; Darius Jakobeit; Christoph Böddeker; Lukas Drude; Reinhold Haeb-Umbach (ICASSP, 2020)

End-to-End Training of Time Domain Audio Separation and Recognition. - Thilo von Neumann; Keisuke Kinoshita; Lukas Drude; Christoph Böddeker; Marc Delcroix; Tomohiro Nakatani; Reinhold Haeb-Umbach (ICASSP, 2020)

Multi-Talker ASR for an Unknown Number of Sources: Joint Training of Source Counting, Separation and ASR. - Thilo von Neumann; Christoph Böddeker; Lukas Drude; Keisuke Kinoshita; Marc Delcroix; Tomohiro Nakatani; Reinhold Haeb-Umbach (INTERSPEECH, 2020)

Convolutive Transfer Function Invariant SDR training criteria for Multi-Channel Reverberant Speech Separation. - Christoph Böddeker; Wangyou Zhang; Tomohiro Nakatani; Keisuke Kinoshita; Tsubasa Ochiai; Marc Delcroix; Naoyuki Kamo; Yanmin Qian; Shinji Watanabe 001; Reinhold Haeb-Umbach (CoRR, 2020)

Jointly Optimal Denoising, Dereverberation, and Source Separation. - Tomohiro Nakatani; Christoph Böddeker; Keisuke Kinoshita; Rintaro Ikeshita; Marc Delcroix; Reinhold Haeb-Umbach (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

A Comparison and Combination of Unsupervised Blind Source Separation Techniques. - Christoph Böddeker; Frederik Rautenberg; Reinhold Haeb-Umbach (ITG Conference on Speech Communication, 2021)

Speeding Up Permutation Invariant Training for Source Separation. - Thilo von Neumann; Christoph Böddeker; Keisuke Kinoshita; Marc Delcroix; Reinhold Haeb-Umbach (ITG Conference on Speech Communication, 2021)

Convolutive Transfer Function Invariant SDR Training Criteria for Multi-Channel Reverberant Speech Separation. - Christoph Böddeker; Wangyou Zhang; Tomohiro Nakatani; Keisuke Kinoshita; Tsubasa Ochiai; Marc Delcroix; Naoyuki Kamo; Yanmin Qian; Reinhold Haeb-Umbach (ICASSP, 2021)

End-to-End Dereverberation, Beamforming, and Speech Recognition with Improved Numerical Stability and Advanced Frontend. - Wangyou Zhang; Christoph Böddeker; Shinji Watanabe 001; Tomohiro Nakatani; Marc Delcroix; Keisuke Kinoshita; Tsubasa Ochiai; Naoyuki Kamo; Reinhold Haeb-Umbach; Yanmin Qian (ICASSP, 2021)

Graph-PIT: Generalized Permutation Invariant Training for Continuous Separation of Arbitrary Numbers of Speakers. - Thilo von Neumann; Keisuke Kinoshita; Christoph Böddeker; Marc Delcroix; Reinhold Haeb-Umbach (Interspeech, 2021)

ESPnet-SE: End-To-End Speech Enhancement and Separation Toolkit Designed for ASR Integration. - Chenda Li; Jing Shi 003; Wangyou Zhang; Aswin Shanmugam Subramanian; Xuankai Chang; Naoyuki Kamo; Moto Hira; Tomoki Hayashi; Christoph Böddeker; Zhuo Chen 006; Shinji Watanabe 001 (SLT, 2021)

Dual-Path RNN for Long Recording Speech Separation. - Chenda Li; Yi Luo 004; Cong Han; Jinyu Li 001; Takuya Yoshioka; Tianyan Zhou; Marc Delcroix; Keisuke Kinoshita; Christoph Böddeker; Yanmin Qian; Shinji Watanabe 001; Zhuo Chen 006 (SLT, 2021)

SA-SDR: A Novel Loss Function for Separation of Meeting Style Data. - Thilo von Neumann; Keisuke Kinoshita; Christoph Böddeker; Marc Delcroix; Reinhold Haeb-Umbach (ICASSP, 2022)

An Initialization Scheme for Meeting Separation with Spatial Mixture Models. - Christoph Böddeker; Tobias Cord-Landwehr; Thilo von Neumann; Reinhold Haeb-Umbach (INTERSPEECH, 2022)

Utterance-by-utterance overlap-aware neural diarization with Graph-PIT. - Keisuke Kinoshita; Thilo von Neumann; Marc Delcroix; Christoph Böddeker; Reinhold Haeb-Umbach (INTERSPEECH, 2022)

Monaural Source Separation: From Anechoic To Reverberant Environments. - Tobias Cord-Landwehr; Christoph Böddeker; Thilo von Neumann; Catalin Zorila; Rama Doddipatla; Reinhold Haeb-Umbach (IWAENC, 2022)

MMS-MSG: A Multi-Purpose Multi-Speaker Mixture Signal Generator. - Tobias Cord-Landwehr; Thilo von Neumann; Christoph Böddeker; Reinhold Haeb-Umbach (IWAENC, 2022)

A Meeting Transcription System for an Ad-Hoc Acoustic Sensor Network. - Tobias Gburrek; Christoph Böddeker; Thilo von Neumann; Tobias Cord-Landwehr; Joerg Schmalenstroeer; Reinhold Haeb-Umbach (CoRR, 2022)

End-to-End Dereverberation, Beamforming, and Speech Recognition in a Cocktail Party. - Wangyou Zhang; Xuankai Chang; Christoph Böddeker; Tomohiro Nakatani; Shinji Watanabe 001; Yanmin Qian (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Reverberation as Supervision For Speech Separation. - Rohith Aralikatti; Christoph Böddeker; Gordon Wichern; Aswin Shanmugam Subramanian; Jonathan Le Roux (ICASSP, 2023)

Frame-Wise and Overlap-Robust Speaker Embeddings for Meeting Diarization. - Tobias Cord-Landwehr; Christoph Böddeker; Catalin Zorila; Rama Doddipatla; Reinhold Haeb-Umbach (ICASSP, 2023)

On Word Error Rate Definitions and Their Efficient Computation for Multi-Speaker Speech Recognition Systems. - Thilo von Neumann; Christoph Böddeker; Keisuke Kinoshita; Marc Delcroix; Reinhold Haeb-Umbach (ICASSP, 2023)

Mixture Encoder for Joint Speech Separation and Recognition. - Simon Berger; Peter Vieting; Christoph Böddeker; Ralf Schlüter; Reinhold Haeb-Umbach (INTERSPEECH, 2023)

A Teacher-Student Approach for Extracting Informative Speaker Embeddings From Speech Mixtures. - Tobias Cord-Landwehr; Christoph Böddeker; Catalin Zorila; Rama Doddipatla; Reinhold Haeb-Umbach (INTERSPEECH, 2023)

MeetEval: A Toolkit for Computation of Word Error Rates for Meeting Transcription Systems. - Thilo von Neumann; Christoph Böddeker; Marc Delcroix; Reinhold Haeb-Umbach (CoRR, 2023)

Mixture Encoder Supporting Continuous Speech Separation for Meeting Recognition. - Peter Vieting; Simon Berger; Thilo von Neumann; Christoph Böddeker; Ralf Schlüter; Reinhold Haeb-Umbach (CoRR, 2023)

Segment-Less Continuous Speech Separation of Meetings: Training and Evaluation Criteria. - Thilo von Neumann; Keisuke Kinoshita; Christoph Böddeker; Marc Delcroix; Reinhold Haeb-Umbach (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Geodesic Interpolation of Frame-Wise Speaker Embeddings for the Diarization of Meeting Scenarios. - Tobias Cord-Landwehr; Christoph Böddeker; Catalin Zorila; Rama Doddipatla; Reinhold Haeb-Umbach (ICASSP, 2024)

Meeting Recognition with Continuous Speech Separation and Transcription-Supported Diarization. - Thilo von Neumann; Christoph Böddeker; Tobias Cord-Landwehr; Marc Delcroix; Reinhold Haeb-Umbach (ICASSP Workshops, 2024)

Once more Diarization: Improving meeting transcription systems through segment-level speaker reassignment. - Christoph Boeddeker; Tobias Cord-Landwehr; Reinhold Haeb-Umbach (INTERSPEECH, 2024)

Combining TF-GridNet And Mixture Encoder For Continuous Speech Separation For Meeting Transcription. - Peter Vieting; Simon Berger; Thilo von Neumann; Christoph Boeddeker; Ralf Schlüter; Reinhold Haeb-Umbach (SLT, 2024)

The CHiME-8 DASR Challenge for Generalizable and Array Agnostic Distant Automatic Speech Recognition and Diarization. - Samuele Cornell; Taejin Park; Steve Huang; Christoph Böddeker; Xuankai Chang; Matthew Maciejewski; Matthew Wiesner; Paola García 001; Shinji Watanabe 001 (CoRR, 2024)

TS-SEP: Joint Diarization and Separation Conditioned on Estimated Speaker Embeddings. - Christoph Böddeker; Aswin Shanmugam Subramanian; Gordon Wichern; Reinhold Haeb-Umbach; Jonathan Le Roux (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Microphone Array Signal Processing and Deep Learning for Speech Enhancement: Combining model-based and data-driven approaches to parameter estimation and filtering [Special Issue On Model-Based and Data-Driven Audio Signal Processing]. - Reinhold Häb-Umbach; Tomohiro Nakatani; Marc Delcroix; Christoph Boeddeker; Tsubasa Ochiai (IEEE Signal Process. Mag., 2024)

Simultaneous Diarization and Separation of Meetings through the Integration of Statistical Mixture Models. - Tobias Cord-Landwehr; Christoph Boeddeker; Reinhold Haeb-Umbach (ICASSP, 2025)

Microphone Array Signal Processing and Deep Learning for Speech Enhancement. - Reinhold Haeb-Umbach; Tomohiro Nakatani; Marc Delcroix; Christoph Boeddeker; Tsubasa Ochiai (CoRR, 2025)

Recent Trends in Distant Conversational Speech Recognition: A Review of CHiME-7 and 8 DASR Challenges. - Samuele Cornell; Christoph Boeddeker; Taejin Park; He Huang 012; Desh Raj; Matthew Wiesner; Yoshiki Masuyama; Xuankai Chang; Zhongqiu Wang 001; Stefano Squartini; Paola García 001; Shinji Watanabe 001 (CoRR, 2025)