Relevant bibliographies by topics / Near-End listening enhancement

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Near-End listening enhancement'

Author: Grafiati
Published: 1 June 2024
Last updated: 31 July 2025

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Journal articles on the topic "Near-End listening enhancement"

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Taal, Cees H., Jesper Jensen, and Arne Leijon. "On Optimal Linear Filtering of Speech for Near-End Listening Enhancement." IEEE Signal Processing Letters 20, no. 3 (2013): 225–28. http://dx.doi.org/10.1109/lsp.2013.2240297.

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Rennies, J., A. Pusch, H. Schepker, and S. Doclo. "Evaluation of a near-end listening enhancement algorithm by combined speech intelligibility and listening effort measurements." Journal of the Acoustical Society of America 144, no. 4 (2018): EL315—EL321. http://dx.doi.org/10.1121/1.5064956.

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Rennies, Jan, Henning Schepker, David Huelsmeier, Jakob H. Drefs, and Simon Doclo. "Evaluating near-end listening enhancement in noise for normal-hearing and hearing-impaired listeners." Journal of the Acoustical Society of America 141, no. 5 (2017): 4023. http://dx.doi.org/10.1121/1.4989261.

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Li, Gang, Ruimin Hu, Xiaochen Wang, and Rui Zhang. "A near-end listening enhancement system by RNN-based noise cancellation and speech modification." Multimedia Tools and Applications 78, no. 11 (2018): 15483–505. http://dx.doi.org/10.1007/s11042-018-6947-8.

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Rennies, Jan, Jakob Drefs, David Hülsmeier, Henning Schepker, and Simon Doclo. "Extension and evaluation of a near-end listening enhancement algorithm for listeners with normal and impaired hearing." Journal of the Acoustical Society of America 141, no. 4 (2017): 2526–37. http://dx.doi.org/10.1121/1.4979591.

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Fallah, Ali, and Steven van de Par. "A Speech Preprocessing Method Based on Perceptually Optimized Envelope Processing to Increase Intelligibility in Reverberant Environments." Applied Sciences 11, no. 22 (2021): 10788. http://dx.doi.org/10.3390/app112210788.

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Speech intelligibility in public places can be degraded by the environmental noise and reverberation. In this study, a new near-end listening enhancement (NELE) approach is proposed in which using a time varying filter jointly enhances the onsets and reduces the overlap masking. For optimization, some look-ahead in clean speech and prior knowledge of room impulse response (RIR) are required. In this method, by optimizing a defined cost function, the Spectro-Temporal Envelope of reverb speech is optimized to be as close as possible to that of clean speech. In this cost function, onsets of speec
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Fuglsig, Andreas Jonas, Jesper Jensen, Zheng-Hua Tan, Lars Søndergaard Bertelsen, Jens Christian Lindof, and Jan Østergaard. "Minimum Processing Near-end Listening Enhancement." IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2023, 1–13. http://dx.doi.org/10.1109/taslp.2023.3282094.

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Fuglsig, Andreas Jonas, Zheng-Hua Tan, Lars Søndergaard Bertelsen, Jesper Jensen, Jens Christian Lindof, and Jan Østergaard. "Joint Far- and Near-end Speech and Listening Enhancement with Minimum Processing." IEEE Access, 2024, 1. http://dx.doi.org/10.1109/access.2024.3450268.

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Celkan, Prof Dr Gul. "From the Editor." New Trends and Issues Proceedings on Humanities and Social Sciences 2, no. 3 (2016). http://dx.doi.org/10.18844/prosoc.v2i3.1244.

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EditorialIt is the great honor for us to edit proceedings of “2nd Global Conference on Contemporary Issues in Education
(GLOBE-EDU 2015)” August 27-28, The University of Chicago Chicago, USA. This privileged scientific event has contributed to the field of educational research for two years. As the guest editors of this issue, we are glad to see variety of articles focusing on arts education, Adult Education, Competitive Skills, Continuing Education, Higher Education, Vocational Education, Transferring Disciplines, Business Education, Educational Administration, Human Resource Develop
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Loess, Nicholas. "Augmentation and Improvisation." M/C Journal 16, no. 6 (2013). http://dx.doi.org/10.5204/mcj.739.

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Preamble: Medium/Format/Marker Medium/Format/Marker (M/F/M) was a visual-aural improvisational performance involving myself, and musicians Joe Sorbara, and Ben Grossman. It was formed through my work as a PhD candidate at the Improvisation, Community, and Social Practice research initiative at the University of Guelph. This performance was conceived as an attempted intervention against the propensity to reify the “new.” It also sought to address the proliferation of the screen and question how the increased presence of screens in everyday life has augmented the way in which an audience is conc
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Dissertations / Theses on the topic "Near-End listening enhancement"

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Sauert, Bastian [Verfasser]. "Near-end listening enhancement : theory and application / Bastian Sauert." Aachen : Hochschulbibliothek der Rheinisch-Westfälischen Technischen Hochschule Aachen, 2014. http://d-nb.info/1057037257/34.

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Gentet, Enguerrand. "Amélioration de l'intelligibilité de signaux audio de parole en contexte bruité automobile." Electronic Thesis or Diss., Institut polytechnique de Paris, 2021. http://www.theses.fr/2021IPPAT008.

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La quantité de diffusion de signaux de parole dans les habitacles automobiles est de plus en plus importante : télécommunications, radio, système de navigation... Cependant, malgré les efforts et les avancées mécaniques, beaucoup de bruits persistent au sein de l'habitacle dégradant fortement l'intelligibilité de ces signaux de parole. L'objectif de cette thèse est alors de développer des outils de renforcement de la parole visant à traiter les signaux avant leur dégradation afin d'assurer une bonne intelligibilité dans le bruit des habitacles automobiles. Une approche de renforcement de la pa
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Book chapters on the topic "Near-End listening enhancement"

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Herasimovich, Vadzim, Alexey Petrovsky, Vladislav Avramov, and Alexander Petrovsky. "Audio/Speech Coding Based on the Perceptual Sparse Representation of the Signal with DAE Neural Network Quantizer and Near-End Listening Enhancement." In Cryptology and Network Security. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98678-4_13.

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Conference papers on the topic "Near-End listening enhancement"

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Fuglsig, Andreas J., Jesper Jensen, Zheng-Hua Tan, Lars S. Bertelsen, Jens Christian Lindof, and Jan Østergaard. "Joint Minimum Processing Beamforming and Near-End Listening Enhancement." In 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW). IEEE, 2024. http://dx.doi.org/10.1109/icasspw62465.2024.10625905.

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Villani, Filippo, Wai-Yip Chan, Zheng-Hua Tan, Jan Østergaard, and Jesper Jensen. "Near-End Listening Enhancement Using a Noise-Robust Linear Time-Invariant Filter." In 2024 18th International Workshop on Acoustic Signal Enhancement (IWAENC). IEEE, 2024. http://dx.doi.org/10.1109/iwaenc61483.2024.10694258.

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Niermann, Markus, Peter Jax, and Peter Vary. "Joint Near-End Listening Enhancement and far-end noise reduction." In 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2017. http://dx.doi.org/10.1109/icassp.2017.7953102.

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Chermaz, Carol, Cassia Valentini-Botinhao, Henning Schepker, and Simon King. "Evaluating Near End Listening Enhancement Algorithms in Realistic Environments." In Interspeech 2019. ISCA, 2019. http://dx.doi.org/10.21437/interspeech.2019-1800.

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Chermaz, Carol, and Simon King. "A Sound Engineering Approach to Near End Listening Enhancement." In Interspeech 2020. ISCA, 2020. http://dx.doi.org/10.21437/interspeech.2020-2748.

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Niermann, Markus, Peter Jax, and Peter Vary. "Near-end listening enhancement by noise-inverse speech shaping." In 2016 24th European Signal Processing Conference (EUSIPCO). IEEE, 2016. http://dx.doi.org/10.1109/eusipco.2016.7760677.

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Lavanya, T., K. Mrinalini, P. Vijayalakshmi, and T. Nagarajan. "Histogram Matching based Optimized Energy Redistribution for Near End Listening Enhancement." In TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON). IEEE, 2019. http://dx.doi.org/10.1109/tencon.2019.8929292.

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Schepker, Henning, David Hülsmeier, Jan Rennies, and Simon Doclo. "Model-based integration of reverberation for noise-adaptive near-end listening enhancement." In Interspeech 2015. ISCA, 2015. http://dx.doi.org/10.21437/interspeech.2015-30.

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Zorilă, Tudor-Cătălin, and Yannis Stylianou. "On the Quality and Intelligibility of Noisy Speech Processed for Near-End Listening Enhancement." In Interspeech 2017. ISCA, 2017. http://dx.doi.org/10.21437/interspeech.2017-1225.

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