S
Sebastian Möller
Researcher at Technical University of Berlin
Publications - 531
Citations - 7103
Sebastian Möller is an academic researcher from Technical University of Berlin. The author has contributed to research in topics: Quality (business) & Quality of experience. The author has an hindex of 34, co-authored 491 publications receiving 5830 citations. Previous affiliations of Sebastian Möller include German Research Centre for Artificial Intelligence & University of Oslo.
Papers
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Proceedings ArticleDOI
Advantages of Wideband over Narrowband Channels for Speaker Verification Employing MFCCs and LFCCs
TL;DR: The evaluation on two different datasets shows the improved speaker verification performance with the extended bandwidth, and also that the linear scale can lead to better results for narrowband signals.
Journal ArticleDOI
Implementation and effects of an information technology-based intervention to support speech and language therapy among stroke patients with aphasia: Protocol for a virtual randomized controlled trial
Esther Kim,Laura Laird,Carlee Wilson,Till Bieg,Philip Mildner,Sebastian Möller,Raimund Schatz,Stephanie Schwarz,Robert P. Spang,Jan-Niklas Voigt-Antons,Jan-Niklas Voigt-Antons,Elizabeth Rochon,Elizabeth Rochon +12 more
TL;DR: The authors in this article proposed a randomized controlled trial (RCT) to examine the feasibility and clinical efficacy of training with VoiceAdapt on the language and communication outcomes of people with aphasia.
Proceedings ArticleDOI
I-vector speaker verification based on phonetic information under transmission channel effects
TL;DR: The results show that the performance enhancement with clean wideband speech with respect to clean narrowband speech is principally due to the presence of unvoiced fricative consonants.
Predicting the quality of synthesized speech using reference-based prediction measures
TL;DR: This paper presents research on the use of methods for end-to-end speechquality assessment for the perceptual evaluation of text- to-speech (TTS) systems and proposes a Dynamic Time Warping between both signals prior to the reference-based evaluation.
Proceedings ArticleDOI
Non-intrusive Estimation of Noisiness as a Perceptual Quality Dimension of Transmitted Speech
TL;DR: A non-intrusive parametric Noisiness estimator is presented, based on nine different features extracted from the output signal only, which proves that the presented estimator provides high reliability and indicates the applicability and value for non- Intrusive diagnostic quality estimation.