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  1. Article ; Online: The future of hearing aid technology : Can technology turn us into superheroes?

    Hohmann, Volker

    Zeitschrift fur Gerontologie und Geriatrie

    2023  Volume 56, Issue 4, Page(s) 283–289

    Abstract: Background: Hearing aid technology has proven to be successful in the rehabilitation of hearing loss, but its performance is still limited in difficult everyday conditions characterized by noise and reverberation.: Objective: Introduction to the ... ...

    Title translation Die Zukunft der Hörgerätetechnologie : Kann die Technologie uns in Superhelden verwandeln?
    Abstract Background: Hearing aid technology has proven to be successful in the rehabilitation of hearing loss, but its performance is still limited in difficult everyday conditions characterized by noise and reverberation.
    Objective: Introduction to the current state of hearing aid technology and presentation of the current state of research and future developments.
    Methods: The current literature was analyzed and several specific new developments are presented.
    Results: Both objective and subjective data from empirical studies show the limitations of the current technology. Examples of current research show the potential of machine learning-based algorithms and multimodal signal processing for improving speech processing and perception, of using virtual reality for improving hearing device fitting and of mobile health technology for improving hearing health services.
    Conclusion: Hearing device technology will remain a key factor in the rehabilitation of hearing impairments. New technology, such as machine learning and multimodal signal processing, virtual reality and mobile health technology, will improve speech enhancement, individual fitting and communication training, thus providing better support for all hearing-impaired patients, including older patients with disabilities or declining cognitive skills.
    MeSH term(s) Humans ; Hearing Aids/psychology ; Speech Perception ; Hearing Loss/diagnosis ; Noise
    Language English
    Publishing date 2023-04-27
    Publishing country Germany
    Document type Journal Article ; Review
    ZDB-ID 1227032-5
    ISSN 1435-1269 ; 0044-281X ; 0948-6704
    ISSN (online) 1435-1269
    ISSN 0044-281X ; 0948-6704
    DOI 10.1007/s00391-023-02179-y
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  2. Book ; Online: The future of hearing aid technology

    Hohmann, Volker

    2023  

    Abstract: Background. Hearing aid technology has proven successful in the rehabilitation of hearing loss, but its performance is still limited in difficult everyday conditions characterized by noise and reverberation. Objectives. Introduction to the current state ... ...

    Abstract Background. Hearing aid technology has proven successful in the rehabilitation of hearing loss, but its performance is still limited in difficult everyday conditions characterized by noise and reverberation. Objectives. Introduction to the current state of hearing aid technology and presentation of the current state of research and future development. Methods. Current literature is analyzed and several specific new developments are presented. Results. Both objective and subjective data from empirical studies show the limitation of current technology. Examples of current research show the potential of machine-learning based algorithms and multi-modal signal processing for improving speech processing and perception, of using virtual reality for improving hearing device fitting and of mobile health technology for improving hearing-health services. Conclusions. Hearing device technology will remain a key factor in the rehabilitation of hearing impairment. New technology such as machine learning, and multi-modal signal processing, virtual reality and mobile health technology will improve speech enhancement, individual fitting and communication training.
    Keywords Electrical Engineering and Systems Science - Audio and Speech Processing ; Computer Science - Sound
    Subject code 390
    Publishing date 2023-04-13
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Book ; Online: The Period-Modulated Harmonic Locked Loop (PM-HLL)

    Hohmann, Volker

    A low-effort algorithm for rapid time-domain periodicity estimation

    2021  

    Abstract: Many speech and music analysis and processing schemes rely on an estimate of the fundamental frequency f0 of periodic signal components. Most established schemes apply rather unspecific signal models such as sinusoidal models to the estimation problem, ... ...

    Abstract Many speech and music analysis and processing schemes rely on an estimate of the fundamental frequency f0 of periodic signal components. Most established schemes apply rather unspecific signal models such as sinusoidal models to the estimation problem, which may limit time resolution and estimation accuracy. This study proposes a novel time-domain locked-loop algorithm with low computational effort and low memory footprint for f0 estimation. The loop control signal is directly derived from the input time signal, using a harmonic signal model. Theoretically, this allows for a noise-robust and rapid f0 estimation for periodic signals of arbitrary waveform, and without the requirement of a prior frequency analysis. Several simulations with short signals employing different types of periodicity and with added wide-band noise were performed to demonstrate and evaluate the basic properties of the proposed algorithm. Depending on the Signal-to-Noise Ratio (SNR), the estimator was found to converge within 3-4 signal repetitions, even at SNR close to or below 0dB. Furthermore, it was found to follow fundamental frequency sweeps with a delay of less than one period and to track all tones of a three-tone musical chord signal simultaneously. Quasi-periodic sounds with shifted harmonics as well as signals with stochastic periodicity were robustly tracked. Mean and standard deviation of the estimation error, i.e., the difference between true and estimated f0, were at or below 1 Hz in most cases. The results suggest that the proposed algorithm may be applicable to low-delay speech and music analysis and processing.
    Keywords Computer Science - Sound ; Electrical Engineering and Systems Science - Audio and Speech Processing ; Electrical Engineering and Systems Science - Signal Processing
    Subject code 780
    Publishing date 2021-07-14
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Conference proceedings: Self-fitting method for hearing aids using everyday-life sounds

    Gräfen, Vincent / Heeren, Jan / Hohmann, Volker

    2024  , Page(s) 191

    Event/congress 26. Jahrestagung der Deutschen Gesellschaft für Audiologie; Aalen; Deutsche Gesellschaft für Audiologie e.V.; 2024
    Keywords Medizin, Gesundheit
    Publishing date 2024-03-05
    Publisher German Medical Science GMS Publishing House; Düsseldorf
    Document type Conference proceedings
    DOI 10.3205/24dga191
    Database German Medical Science

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  5. Conference proceedings: Evaluation von Hörgeräten mittels interaktiver Kommunikation in audio-visueller virtueller Realität und Telepräsenz

    Grimm, Giso / Kothe, Angelika / Hohmann, Volker

    2024  , Page(s) 4

    Event/congress 26. Jahrestagung der Deutschen Gesellschaft für Audiologie; Aalen; Deutsche Gesellschaft für Audiologie e.V.; 2024
    Keywords Medizin, Gesundheit
    Publishing date 2024-03-05
    Publisher German Medical Science GMS Publishing House; Düsseldorf
    Document type Conference proceedings
    DOI 10.3205/24dga004
    Database German Medical Science

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  6. Article: Tagungsbericht zur VCCA 2022

    Hohmann, Volker

    Zeitschrift für Audiologie

    2022  Volume 61, Issue 3, Page(s) 123

    Language German
    Document type Article
    ZDB-ID 1420898-2
    ISSN 1435-4691
    Database Current Contents Medicine

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  7. Article ; Online: Making sense of periodicity glimpses in a prediction-update-loop-A computational model of attentive voice tracking.

    Luberadzka, Joanna / Kayser, Hendrik / Hohmann, Volker

    The Journal of the Acoustical Society of America

    2022  Volume 151, Issue 2, Page(s) 712

    Abstract: Humans are able to follow a speaker even in challenging acoustic conditions. The perceptual mechanisms underlying this ability remain unclear. A computational model of attentive voice tracking, consisting of four computational blocks: (1) sparse ... ...

    Abstract Humans are able to follow a speaker even in challenging acoustic conditions. The perceptual mechanisms underlying this ability remain unclear. A computational model of attentive voice tracking, consisting of four computational blocks: (1) sparse periodicity-based auditory features (sPAF) extraction, (2) foreground-background segregation, (3) state estimation, and (4) top-down knowledge, is presented. The model connects the theories about auditory glimpses, foreground-background segregation, and Bayesian inference. It is implemented with the sPAF, sequential Monte Carlo sampling, and probabilistic voice models. The model is evaluated by comparing it with the human data obtained in the study by Woods and McDermott [Curr. Biol. 25(17), 2238-2246 (2015)], which measured the ability to track one of two competing voices with time-varying parameters [fundamental frequency (F0) and formants (F1,F2)]. Three model versions were tested, which differ in the type of information used for the segregation: version (a) uses the oracle F0, version (b) uses the estimated F0, and version (c) uses the spectral shape derived from the estimated F0 and oracle F1 and F2. Version (a) simulates the optimal human performance in conditions with the largest separation between the voices, version (b) simulates the conditions in which the separation in not sufficient to follow the voices, and version (c) is closest to the human performance for moderate voice separation.
    MeSH term(s) Acoustics ; Bayes Theorem ; Computer Simulation ; Humans ; Periodicity ; Speech Acoustics ; Speech Perception ; Voice
    Language English
    Publishing date 2022-03-01
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 219231-7
    ISSN 1520-8524 ; 0001-4966
    ISSN (online) 1520-8524
    ISSN 0001-4966
    DOI 10.1121/10.0009337
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  8. Conference proceedings: Distributed interactive low-delay virtual reality for music and research applications

    Grimm, Giso / Kothe, Angelika / Hohmann, Volker

    2023  , Page(s) 15

    Event/congress 25. Jahrestagung der Deutschen Gesellschaft für Audiologie; Köln; Deutsche Gesellschaft für Audiologie e.V.; 2023
    Keywords Medizin, Gesundheit
    Publishing date 2023-03-01
    Publisher German Medical Science GMS Publishing House; Düsseldorf
    Document type Conference proceedings
    DOI 10.3205/23dga015
    Database German Medical Science

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  9. Conference proceedings: Influence of natural head movements on communication behaviour in virtual multi-talker conversations

    Kothe, Angelika / Hohmann, Volker / Grimm, Giso

    2023  , Page(s) 14

    Event/congress 25. Jahrestagung der Deutschen Gesellschaft für Audiologie; Köln; Deutsche Gesellschaft für Audiologie e.V.; 2023
    Keywords Medizin, Gesundheit
    Publishing date 2023-03-01
    Publisher German Medical Science GMS Publishing House; Düsseldorf
    Document type Conference proceedings
    DOI 10.3205/23dga014
    Database German Medical Science

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  10. Article: Birger Kollmeiers Doppeljubiläum: 30 Jahre Medizinische Physik und 65 Lenze

    Hohmann, Volker / Holube, Inga / Launer, Stefan

    Zeitschrift für Audiologie

    2023  Volume 62, Issue 3, Page(s) 128

    Language German
    Document type Article
    ZDB-ID 1420898-2
    ISSN 1435-4691
    Database Current Contents Medicine

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