328 citations
- Friedrich-Alexander-Universität Erlangen-NürnbergDE42 papers
- International Audio Laboratories ErlangenDE22 papers
- Technische Universität IlmenauDE12 papers
- Ludwig-Maximilians-Universität MünchenDE10 papers
- LMU KlinikumDE7 papers
- University of WürzburgDE5 papers
- Fraunhofer Institute for Telecommunications, Heinrich Hertz InstituteDE4 papers
- Munich Center for Machine Learning4 papers
- RWTH Aachen UniversityDE4 papers
- Fraunhofer-GesellschaftDE3 papers
- Fraunhofer Institute for Integrated Circuits IIS, Division Engineering of Adaptive Systems EASDE3 papers
- OTH RegensburgDE3 papers
24 papers · 1 filter
Robust Speech Activity Detection in the Presence of Singing Voice
Philipp Grundhuber, Mhd Modar Halimeh, Martin Strauß +1
Speech Activity Detection (SAD) systems often misclassify singing as speech, leading to degraded performance in applications such as dialogue enhancement and automatic speech recog…
UBGAN: Enhancing Coded Speech with Blind and Guided Bandwidth Extension
Kishan Gupta, Srikanth Korse, Andreas Brendel +2
In practical application of speech codecs, a multitude of factors such as the quality of the radio connection, limiting hardware or required user experience necessitate trade-offs…
A first-order DirAC-based parametric Ambisonic coder for immersive communications
Guillaume Fuchs, Florin Ghido, Dominik Weckbecker +1
Directional Audio Coding (DirAC) is a proven method for parametrically representing a 3D audio scene in B-format and is capable of reproducing it on arbitrary loudspeaker layouts.…
Low-Resource Text-to-Speech Synthesis Using Noise-Augmented Training of ForwardTacotron
Kishor Kayyar Lakshminarayana, Frank Zalkow, Christian Dittmar +2
In recent years, several text-to-speech systems have been proposed to synthesize natural speech in zero-shot, few-shot, and low-resource scenarios. However, these methods typically…
Towards Improved Objective Perceptual Audio Quality Assessment -- Part 1: A Novel Data-Driven Cognitive Model
Pablo M. Delgado, Jürgen Herre
Efficient audio quality assessment is vital for streamlining audio codec development. Objective assessment tools have been developed over time to algorithmically predict quality ra…
FlowMAC: Conditional Flow Matching for Audio Coding at Low Bit Rates
Nicola Pia, Martin Strauss, Markus Multrus +1
This paper introduces FlowMAC, a novel neural audio codec for high-quality general audio compression at low bit rates based on conditional flow matching (CFM). FlowMAC jointly lear…