Search Results - "Goetze, Stefan"

Effectiveness of Computer-Tailored Health Communication in Increasing Physical Activity in People With or at Risk of Long-Term Conditions: Systematic Review and Meta-Analysis by Hao, Longdan, Goetze, Stefan, Alessa, Tourkiah, Hawley, Mark S

“…Regular physical activity (PA) is beneficial for enhancing and sustaining both physical and mental well-being as well as for the management of preexisting…”
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Spectro-Temporal Gabor Filterbank Features for Acoustic Event Detection by Schroder, Jens, Goetze, Stefan, Anemuller, Jorn

“…Algorithms for the automatic detection and recognition of acoustic events are increasingly gaining relevance for the reliable and robust functioning of…”
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Att-TasNet: Attending to Encodings in Time-Domain Audio Speech Separation of Noisy, Reverberant Speech Mixtures by Ravenscroft, William, Goetze, Stefan, Hain, Thomas

“…Separation of speech mixtures in noisy and reverberant environments remains a challenging task for state-of-the-art speech separation systems. Time-domain…”
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Front-end technologies for robust ASR in reverberant environments—spectral enhancement-based dereverberation and auditory modulation filterbank features by Xiong, Feifei, Meyer, Bernd T., Moritz, Niko, Rehr, Robert, Anemüller, Jörn, Gerkmann, Timo, Doclo, Simon, Goetze, Stefan

“…This paper presents extended techniques aiming at the improvement of automatic speech recognition (ASR) in single-channel scenarios in the context of the…”
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Classification of human cough signals using spectro-temporal Gabor filterbank features by Schroder, Jens, Anemuller, Jorn, Goetze, Stefan

“…This contribution investigates the use of features derived from a Gabor filterbank (GFB) for the application of acoustic cough classification. Gabor filters…”
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Regularization for Partial Multichannel Equalization for Speech Dereverberation by Kodrasi, Ina, Goetze, Stefan, Doclo, Simon

“…Acoustic multichannel equalization techniques such as the multiple-input/output inverse theorem (MINT), which aim to equalize the room impulse responses (RIRs)…”
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Deformable Temporal Convolutional Networks for Monaural Noisy Reverberant Speech Separation by Ravenscroft, William, Goetze, Stefan, Hain, Thomas

“…Speech separation models are used for isolating individual speakers in many speech processing applications. Deep learning models have been shown to lead to…”
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Combining Conformer and Dual-Path-Transformer Networks for Single Channel Noisy Reverberant Speech Separation by Ravenscroft, William, Goetze, Stefan, Hain, Thomas

“…Separation of overlapping speakers remains an active area of speech technology research. Many deep neural network (DNN) separation models propose modelling…”
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Refining Text Input For Augmentative and Alternative Communication (AAC) Devices: Analysing Language Model Layers For Optimisation by Yusufali, Hussein, Moore, Roger K., Goetze, Stefan

“…Communication impairments are prevalent among a significant proportion of individuals. Methods of Augmentative and Alternative Communication (AAC) can support…”
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The Effect of Spoken Language on Speech Enhancement Using Self-Supervised Speech Representation Loss Functions by Close, George, Hain, Thomas, Goetze, Stefan

“…Recent work in the field of speech enhancement (SE) has involved the use of self-supervised speech representations (SSSRs) as feature transformations in loss…”
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Moving Towards Non-Binary Gender Identification Via Analysis of System Errors in Binary Gender Classification by Ellis, Sebastian, Goetze, Stefan, Christensen, Heidi

“…This paper aims to analyse human perceptions of gender in speech signals, focusing on signals that are misclassified by methods for binary gender…”
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Perceive and Predict: Self-Supervised Speech Representation Based Loss Functions for Speech Enhancement by Close, George, Ravenscroft, William, Hain, Thomas, Goetze, Stefan

“…Recent work in the domain of speech enhancement has explored the use of self-supervised speech representations to aid in the training of neural speech…”
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Active Learning for Sound Event Classification Using Bayesian Neural Networks with Gaussian Variational Posterior by Shishkin, Stepan, Hollosi, Danilo, Goetze, Stefan, Doclo, Simon

“…Manual annotation of audio material is cumbersome. Active learning aims at minimizing the annotation effort by iteratively selecting an acquisition batch of…”
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Multi-CMGAN+/+: Leveraging Multi-Objective Speech Quality Metric Prediction for Speech Enhancement by Close, George, Ravenscroft, William, Hain, Thomas, Goetze, Stefan

“…Neural network based approaches to speech enhancement have shown to be particularly powerful, being able to leverage a data-driven approach to result in a…”
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Combination of MVDR beamforming and single-channel spectral processing for enhancing noisy and reverberant speech by Cauchi, Benjamin, Kodrasi, Ina, Rehr, Robert, Gerlach, Stephan, Jukić, Ante, Gerkmann, Timo, Doclo, Simon, Goetze, Stefan

“…This paper presents a system aiming at joint dereverberation and noise reduction by applying a combination of a beamformer with a single-channel spectral…”
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Intelligente Erkennersysteme für die Pflege by Goetze, Stefan

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A matter of habit? The sociological foundations of empowering the European Parliament by Goetze, Stefan, Rittberger, Berthold

“…In this article we study the ‘institutionalization’ of the European Parliament (EP), analysing those processes whereby the EP and its role in the EU's…”
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Non-Intrusive Speech Intelligibility Prediction for Hearing-Impaired Users Using Intermediate ASR Features and Human Memory Models by Mogridge, Rhiannon, Close, George, Sutherland, Robert, Hain, Thomas, Barker, Jon, Goetze, Stefan, Ragni, Anton

“…Neural networks have been successfully used for non-intrusive speech intelligibility prediction. Recently, the use of feature representations sourced from…”
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Non-Intrusive Speech Quality Prediction Using Modulation Energies and LSTM-Network by Cauchi, Benjamin, Siedenburg, Kai, Santos, Joao F., Falk, Tiago H., Doclo, Simon, Goetze, Stefan

“…Many signal processing algorithms have been proposed to improve the quality of speech recorded in the presence of noise and reverberation. Perceptual measures,…”
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Subjective speech quality and speech intelligibility evaluation of single-channel dereverberation algorithms by Warzybok, Anna, Kodrasi, Ina, Jungmann, Jan Ole, Habets, Emanuel, Gerkmann, Timo, Mertins, Alfred, Doclo, Simon, Kollmeier, Birger, Goetze, Stefan

“…In this contribution, six different single-channel dereverberation algorithms are evaluated subjectively in terms of speech intelligibility and speech quality…”
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