10 citations · 26 across the 7 of their papers we have counts for
7 papers
Geometrically-Motivated Primary-Ambient Decomposition With Center-Channel Extraction
Jouni Paulus, Matteo Torcoli
A geometrically-motivated method for primary-ambient decomposition is proposed and evaluated in an up-mixing application. The method consists of two steps, accommodating a particul…
Sampling Frequency Independent Dialogue Separation
Jouni Paulus, Matteo Torcoli
In some DNNs for audio source separation, the relevant model parameters are independent of the sampling frequency of the audio used for training. Considering the application of dia…
Dialog+ in Broadcasting: First Field Tests Using Deep-Learning-Based Dialogue Enhancement
Matteo Torcoli, Christian Simon, Jouni Paulus +9
Difficulties in following speech due to loud background sounds are common in broadcasting. Object-based audio, e.g., MPEG-H Audio solves this problem by providing a user-adjustable…
Controlling the Perceived Sound Quality for Dialogue Enhancement with Deep Learning
Christian Uhle, Matteo Torcoli, Jouni Paulus
Speech enhancement attenuates interfering sounds in speech signals but may introduce artifacts that perceivably deteriorate the output signal. We propose a method for controlling t…
Controlling the Remixing of Separated Dialogue with a Non-Intrusive Quality Estimate
Matteo Torcoli, Jouni Paulus, Thorsten Kastner +1
Remixing separated audio sources trades off interferer attenuation against the amount of audible deteriorations. This paper proposes a non-intrusive audio quality estimation method…
A Hands-on Comparison of DNNs for Dialog Separation Using Transfer Learning from Music Source Separation
Martin Strauss, Jouni Paulus, Matteo Torcoli +1
This paper describes a hands-on comparison on using state-of-the-art music source separation deep neural networks (DNNs) before and after task-specific fine-tuning for separating s…
MPEG-H Audio for Improving Accessibility in Broadcasting and Streaming
Christian Simon, Matteo Torcoli, Jouni Paulus
Broadcasting and streaming services still suffer from various levels of accessibility barriers for a significant portion of the population, limiting the access to information and c…