Tobias Cord-Landwehr

Orcid: 0009-0004-1158-6235

According to our database1, Tobias Cord-Landwehr authored at least 12 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2025
Spatio-spectral diarization of meetings by combining TDOA-based segmentation and speaker embedding-based clustering.
CoRR, June, 2025

Simultaneous Diarization and Separation of Meetings through the Integration of Statistical Mixture Models.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024
Once more Diarization: Improving meeting transcription systems through segment-level speaker reassignment.
Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024

Meeting Recognition with Continuous Speech Separation and Transcription-Supported Diarization.
Proceedings of the IEEE International Conference on Acoustics, 2024

Geodesic Interpolation of Frame-Wise Speaker Embeddings for the Diarization of Meeting Scenarios.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
A Teacher-Student Approach for Extracting Informative Speaker Embeddings From Speech Mixtures.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Frame-Wise and Overlap-Robust Speaker Embeddings for Meeting Diarization.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
A Meeting Transcription System for an Ad-Hoc Acoustic Sensor Network.
CoRR, 2022

MMS-MSG: A Multi-Purpose Multi-Speaker Mixture Signal Generator.
Proceedings of the 17th International Workshop on Acoustic Signal Enhancement, 2022

Monaural Source Separation: From Anechoic To Reverberant Environments.
Proceedings of the 17th International Workshop on Acoustic Signal Enhancement, 2022

An Initialization Scheme for Meeting Separation with Spatial Mixture Models.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

2021
Contrastive Predictive Coding Supported Factorized Variational Autoencoder For Unsupervised Learning Of Disentangled Speech Representations.
Proceedings of the IEEE International Conference on Acoustics, 2021


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