LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 10 of total 24

Search options

  1. Article ; Online: Evaluation of Vaccine Immunogenicity-Correlates to Real-World Protection: Influenza.

    Laszlofy, Csaba / Fazekas, Gyorgy / Barath, Zoltan / Vajo, Zoltan

    Viruses

    2024  Volume 16, Issue 3

    Abstract: Recent events highlighted that, despite decades of studying vaccine immunogenicity and efforts toward finding correlates of protection, evaluating real-world vaccine efficacy as well as establishing meaningful licensing criteria still represents a ... ...

    Abstract Recent events highlighted that, despite decades of studying vaccine immunogenicity and efforts toward finding correlates of protection, evaluating real-world vaccine efficacy as well as establishing meaningful licensing criteria still represents a significant challenge. In this paper, we review all aspects of influenza vaccine immunogenicity, including animal and human challenge studies, humoral and cellular immunity parameters, and their potential correlation with real-life protection from disease.
    MeSH term(s) Animals ; Humans ; Influenza, Human/prevention & control ; Immunogenicity, Vaccine ; Antibodies, Viral ; Influenza Vaccines ; Immunity, Cellular
    Chemical Substances Antibodies, Viral ; Influenza Vaccines
    Language English
    Publishing date 2024-03-12
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2516098-9
    ISSN 1999-4915 ; 1999-4915
    ISSN (online) 1999-4915
    ISSN 1999-4915
    DOI 10.3390/v16030441
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  2. Book ; Online: Singing Voice Synthesis Using Differentiable LPC and Glottal-Flow-Inspired Wavetables

    Yu, Chin-Yun / Fazekas, György

    2023  

    Abstract: This paper introduces GlOttal-flow LPC Filter (GOLF), a novel method for singing voice synthesis (SVS) that exploits the physical characteristics of the human voice using differentiable digital signal processing. GOLF employs a glottal model as the ... ...

    Abstract This paper introduces GlOttal-flow LPC Filter (GOLF), a novel method for singing voice synthesis (SVS) that exploits the physical characteristics of the human voice using differentiable digital signal processing. GOLF employs a glottal model as the harmonic source and IIR filters to simulate the vocal tract, resulting in an interpretable and efficient approach. We show it is competitive with state-of-the-art singing voice vocoders, requiring fewer synthesis parameters and less memory to train, and runs an order of magnitude faster for inference. Additionally, we demonstrate that GOLF can model the phase components of the human voice, which has immense potential for rendering and analysing singing voices in a differentiable manner. Our results highlight the effectiveness of incorporating the physical properties of the human voice mechanism into SVS and underscore the advantages of signal-processing-based approaches, which offer greater interpretability and efficiency in synthesis. Audio samples are available at https://yoyololicon.github.io/golf-demo/.

    Comment: 9 pages, 4 figures. Accepted at ISMIR 2023
    Keywords Electrical Engineering and Systems Science - Audio and Speech Processing ; Computer Science - Sound
    Publishing date 2023-06-29
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

    More links

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  3. Book ; Online: Seeing Sounds, Hearing Shapes

    Löbbers, Sebastian / Fazekas, György

    a gamified study to evaluate sound-sketches

    2022  

    Abstract: Sound-shape associations, a subset of cross-modal associations between the auditory and visual domain, have been studied mainly in the context of matching a set of purposefully crafted shapes to sounds. Recent studies have explored how humans represent ... ...

    Abstract Sound-shape associations, a subset of cross-modal associations between the auditory and visual domain, have been studied mainly in the context of matching a set of purposefully crafted shapes to sounds. Recent studies have explored how humans represent sound through free-form sketching and how a graphical sketch input could be used for sound production. In this paper, the potential of communicating sound characteristics through these free-form sketches is investigated in a gamified study that was conducted with eighty-two participants at two online exhibition events. The results show that participants managed to recognise sounds at a higher rate than the random baseline would suggest, however it appeared difficult to visually encode nuanced timbral differences.

    Comment: Accepted at International Computer Music Conference (ICMC) 2022
    Keywords Computer Science - Multimedia ; Computer Science - Sound ; Electrical Engineering and Systems Science - Audio and Speech Processing
    Subject code 780
    Publishing date 2022-05-18
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

    More links

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  4. Book ; Online: AI as mediator between composers, sound designers, and creative media producers

    Löbbers, Sebastian / Barthet, Mathieu / Fazekas, György

    2023  

    Abstract: Musical professionals who produce material for non-musical stakeholders often face communication challenges in the early ideation stage. Expressing musical ideas can be difficult, especially when domain-specific vocabulary is lacking. This position paper ...

    Abstract Musical professionals who produce material for non-musical stakeholders often face communication challenges in the early ideation stage. Expressing musical ideas can be difficult, especially when domain-specific vocabulary is lacking. This position paper proposes the use of artificial intelligence to facilitate communication between stakeholders and accelerate the consensus-building process. Rather than fully or partially automating the creative process, the aim is to give more time for creativity by reducing time spent on defining the expected outcome. To demonstrate this point, the paper discusses two application scenarios for interactive music systems that are based on the authors' research into gesture-to-sound mapping.

    Comment: Position paper submitted to Integrating AI in Human-Human Collaborative Ideation workshop at the ACM CHI Conference on Human Factors in Computing System
    Keywords Computer Science - Human-Computer Interaction ; Computer Science - Multimedia
    Subject code 780
    Publishing date 2023-03-02
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

    More links

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  5. Book ; Online: The Responsibility Problem in Neural Networks with Unordered Targets

    Hayes, Ben / Saitis, Charalampos / Fazekas, György

    2023  

    Abstract: We discuss the discontinuities that arise when mapping unordered objects to neural network outputs of fixed permutation, referred to as the responsibility problem. Prior work has proved the existence of the issue by identifying a single discontinuity. ... ...

    Abstract We discuss the discontinuities that arise when mapping unordered objects to neural network outputs of fixed permutation, referred to as the responsibility problem. Prior work has proved the existence of the issue by identifying a single discontinuity. Here, we show that discontinuities under such models are uncountably infinite, motivating further research into neural networks for unordered data.

    Comment: Accepted for TinyPaper archival at ICLR 2023: https://openreview.net/forum?id=jd7Hy1jRiv4
    Keywords Computer Science - Machine Learning ; Computer Science - Discrete Mathematics
    Publishing date 2023-04-19
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

    More links

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  6. Book ; Online: Pianist Identification Using Convolutional Neural Networks

    Tang, Jingjing / Wiggins, Geraint / Fazekas, Gyorgy

    2023  

    Abstract: This paper presents a comprehensive study of automatic performer identification in expressive piano performances using convolutional neural networks (CNNs) and expressive features. Our work addresses the challenging multi-class classification task of ... ...

    Abstract This paper presents a comprehensive study of automatic performer identification in expressive piano performances using convolutional neural networks (CNNs) and expressive features. Our work addresses the challenging multi-class classification task of identifying virtuoso pianists, which has substantial implications for building dynamic musical instruments with intelligence and smart musical systems. Incorporating recent advancements, we leveraged large-scale expressive piano performance datasets and deep learning techniques. We refined the scores by expanding repetitions and ornaments for more accurate feature extraction. We demonstrated the capability of one-dimensional CNNs for identifying pianists based on expressive features and analyzed the impact of the input sequence lengths and different features. The proposed model outperforms the baseline, achieving 85.3% accuracy in a 6-way identification task. Our refined dataset proved more apt for training a robust pianist identifier, making a substantial contribution to the field of automatic performer identification. Our codes have been released at https://github.com/BetsyTang/PID-CNN.

    Comment: 6 pages, 3 figures, accepted by the 4th International Symposium on the Internet of Sounds, IS2 2023
    Keywords Computer Science - Sound ; Electrical Engineering and Systems Science - Audio and Speech Processing
    Subject code 780
    Publishing date 2023-10-01
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

    More links

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  7. Book ; Online: Reconstructing Human Expressiveness in Piano Performances with a Transformer Network

    Tang, Jingjing / Wiggins, Geraint / Fazekas, Gyorgy

    2023  

    Abstract: Capturing intricate and subtle variations in human expressiveness in music performance using computational approaches is challenging. In this paper, we propose a novel approach for reconstructing human expressiveness in piano performance with a multi- ... ...

    Abstract Capturing intricate and subtle variations in human expressiveness in music performance using computational approaches is challenging. In this paper, we propose a novel approach for reconstructing human expressiveness in piano performance with a multi-layer bi-directional Transformer encoder. To address the needs for large amounts of accurately captured and score-aligned performance data in training neural networks, we use transcribed scores obtained from an existing transcription model to train our model. We integrate pianist identities to control the sampling process and explore the ability of our system to model variations in expressiveness for different pianists. The system is evaluated through statistical analysis of generated expressive performances and a listening test. Overall, the results suggest that our method achieves state-of-the-art in generating human-like piano performances from transcribed scores, while fully and consistently reconstructing human expressiveness poses further challenges.

    Comment: 12 pages, 5 figures, accepted by CMMR2023, the 16th International Symposium on Computer Music Multidisciplinary Research
    Keywords Computer Science - Sound ; Computer Science - Machine Learning ; Electrical Engineering and Systems Science - Audio and Speech Processing
    Subject code 780
    Publishing date 2023-06-09
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

    More links

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  8. Article ; Online: Editorial: Human-centred computer audition: sound, music, and healthcare.

    Qian, Kun / Fazekas, Gyorgy / Li, Shengchen / Li, Zijin / Schuller, Björn W

    Frontiers in digital health

    2023  Volume 5, Page(s) 1340517

    Language English
    Publishing date 2023-12-12
    Publishing country Switzerland
    Document type Editorial
    ISSN 2673-253X
    ISSN (online) 2673-253X
    DOI 10.3389/fdgth.2023.1340517
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  9. Book ; Online: Zero-Shot Duet Singing Voices Separation with Diffusion Models

    Yu, Chin-Yun / Postolache, Emilian / Rodolà, Emanuele / Fazekas, György

    2023  

    Abstract: In recent studies, diffusion models have shown promise as priors for solving audio inverse problems. These models allow us to sample from the posterior distribution of a target signal given an observed signal by manipulating the diffusion process. ... ...

    Abstract In recent studies, diffusion models have shown promise as priors for solving audio inverse problems. These models allow us to sample from the posterior distribution of a target signal given an observed signal by manipulating the diffusion process. However, when separating audio sources of the same type, such as duet singing voices, the prior learned by the diffusion process may not be sufficient to maintain the consistency of the source identity in the separated audio. For example, the singer may change from one to another occasionally. Tackling this problem will be useful for separating sources in a choir, or a mixture of multiple instruments with similar timbre, without acquiring large amounts of paired data. In this paper, we examine this problem in the context of duet singing voices separation, and propose a method to enforce the coherency of singer identity by splitting the mixture into overlapping segments and performing posterior sampling in an auto-regressive manner, conditioning on the previous segment. We evaluate the proposed method on the MedleyVox dataset and show that the proposed method outperforms the naive posterior sampling baseline. Our source code and the pre-trained model are publicly available at https://github.com/yoyololicon/duet-svs-diffusion.

    Comment: 9 pages, 1 figure. Published at Sound Demixing Workshop 2023
    Keywords Electrical Engineering and Systems Science - Audio and Speech Processing ; Computer Science - Sound
    Publishing date 2023-11-13
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

    More links

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  10. Book ; Online: The Role of Communication and Reference Songs in the Mixing Process

    Vanka, Soumya Sai / Safi, Maryam / Rolland, Jean-Baptiste / Fazekas, György

    Insights from Professional Mix Engineers

    2023  

    Abstract: Effective music mixing requires technical and creative finesse, but clear communication with the client is crucial. The mixing engineer must grasp the client's expectations, and preferences, and collaborate to achieve the desired sound. The tacit ... ...

    Abstract Effective music mixing requires technical and creative finesse, but clear communication with the client is crucial. The mixing engineer must grasp the client's expectations, and preferences, and collaborate to achieve the desired sound. The tacit agreement for the desired sound of the mix is often established using guides like reference songs and demo mixes exchanged between the artist and the engineer and sometimes verbalised using semantic terms. This paper presents the findings of a two-phased exploratory study aimed at understanding how professional mixing engineers interact with clients and use their feedback to guide the mixing process. For phase one, semi-structured interviews were conducted with five mixing engineers with the aim of gathering insights about their communication strategies, creative processes, and decision-making criteria. Based on the inferences from these interviews, an online questionnaire was designed and administered to a larger group of 22 mixing engineers during the second phase. The results of this study shed light on the importance of collaboration, empathy, and intention in the mixing process, and can inform the development of smart multi-track mixing systems that better support these practices. By highlighting the significance of these findings, this paper contributes to the growing body of research on the collaborative nature of music production and provides actionable recommendations for the design and implementation of innovative mixing tools.
    Keywords Computer Science - Human-Computer Interaction ; Computer Science - Artificial Intelligence ; Electrical Engineering and Systems Science - Audio and Speech Processing
    Subject code 780
    Publishing date 2023-09-06
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

    More links

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

To top