most citedSpatio-spectral diarization of meetings by combining TDOA-based segmentation and speaker embedding-based clustering

4 citations · 8 across the 8 of their papers we have counts for

collaborators

8 papers

eess.AS2026

Audio Diarization: A New Paradigm for Exploring Audio Recordings with Unknown Event Classes

Alexander Werning, Reinhold Haeb-Umbach

We propose a new task, audio diarization. The motivation is that there are applications, such as audio monitoring in an unknown environment, where initially the sound event classes…

eess.AS2026

Speech Quality Embeddings for Improved Detection and Classification of Degradations in Speech Signals

Michael Kuhlmann, Tobias Cord-Landwehr, Reinhold Haeb-Umbach

Automatic subjective speech quality assessment (SSQA) traditionally estimates speech quality on an utterance or system level. While this resolution was adequate for older transmiss…

eess.AS2026

Disentangling Pitch and Creak for Speaker Identity Preservation in Speech Synthesis

Frederik Rautenberg, Jana Wiechmann, Petra Wagner +1

We introduce a system capable of faithfully modifying the perceptual voice quality of creak while preserving the speaker's perceived identity. While it is well known that high crea…

eess.AS2026★ 1 cited

Speech Quality-Based Localization of Low-Quality Speech and Text-to-Speech Synthesis Artefacts

Michael Kuhlmann, Alexander Werning, Thilo von Neumann +1

A large number of works view the automatic assessment of speech from an utterance- or system-level perspective. While such approaches are good in judging overall quality, they cann…

eess.AS2025

Synthesizing speech with selected perceptual voice qualities - A case study with creaky voice

Frederik Rautenberg, Fritz Seebauer, Jana Wiechmann +3

The control of perceptual voice qualities in a text-to-speech (TTS) system is of interest for applications where unmanipu- lated and manipulated speech probes can serve to illustra…

eess.AS2025

On the Application of Diffusion Models for Simultaneous Denoising and Dereverberation

Adrian Meise, Tobias Cord-Landwehr, Reinhold Haeb-Umbach

Diffusion models have been shown to achieve natural-sounding enhancement of speech degraded by noise or reverberation. However, their simultaneous denoising and dereverberation cap…

eess.AS2025★ 3 cited

Towards Frame-level Quality Predictions of Synthetic Speech

Michael Kuhlmann, Fritz Seebauer, Petra Wagner +1

While automatic subjective speech quality assessment has witnessed much progress, an open question is whether an automatic quality assessment at frame resolution is possible. This…

eess.AS2025★ 4 cited

Spatio-spectral diarization of meetings by combining TDOA-based segmentation and speaker embedding-based clustering

Tobias Cord-Landwehr, Tobias Gburrek, Marc Deegen +1

We propose a spatio-spectral, combined model-based and data-driven diarization pipeline consisting of TDOA-based segmentation followed by embedding-based clustering. The proposed s…