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Статті в журналах з теми "Speech intelligibility prediction"
Bradley, J. S. "Speech intelligibility prediction in rooms." Journal of the Acoustical Society of America 77, S1 (April 1985): S88. http://dx.doi.org/10.1121/1.2022570.
Повний текст джерелаTamjis, Mohd Ridzwan, Muhammad Naufal Mansor, Ahmad Kadri Junoh, Amran Ahmed, Wan Suhana Wan Daud, and Azrini Idris. "Heterogeneous Speech Prediction Using LDA Classifiers." Advanced Materials Research 1016 (August 2014): 267–72. http://dx.doi.org/10.4028/www.scientific.net/amr.1016.267.
Повний текст джерелаvan Schoonhoven, Jelmer, Koenraad S. Rhebergen, and Wouter A. Dreschler. "A context-based approach to predict speech intelligibility in interrupted noise: Model design." Journal of the Acoustical Society of America 151, no. 2 (February 2022): 1404–15. http://dx.doi.org/10.1121/10.0009617.
Повний текст джерелаMarshall, L. Gerald. "Speech intelligibility prediction from calculated C50 values." Journal of the Acoustical Society of America 98, no. 5 (November 1995): 2845–47. http://dx.doi.org/10.1121/1.413184.
Повний текст джерелаJensen, Jesper, and Cees H. Taal. "Speech Intelligibility Prediction Based on Mutual Information." IEEE/ACM Transactions on Audio, Speech, and Language Processing 22, no. 2 (February 2014): 430–40. http://dx.doi.org/10.1109/taslp.2013.2295914.
Повний текст джерелаYamamoto, Katsuhiko, Toshio Irino, Toshie Matsui, Shoko Araki, Keisuke Kinoshita, and Tomohiro Nakatani. "Analysis of acoustic features for speech intelligibility prediction models analysis of acoustic features for speech intelligibility prediction models." Journal of the Acoustical Society of America 140, no. 4 (October 2016): 3114. http://dx.doi.org/10.1121/1.4969744.
Повний текст джерелаCroce, Paolo, Francesco Leccese, Giacomo Salvadori, and Umberto Berardi. "Proposal of a Simplified Tool for Early Acoustics Design Stage of Classrooms in Compliance with Speech Intelligibility Thresholds." Energies 16, no. 2 (January 10, 2023): 813. http://dx.doi.org/10.3390/en16020813.
Повний текст джерелаBernstein, Joshua G. W., Van Summers, Elena Grassi, and Ken W. Grant. "Auditory Models of Suprathreshold Distortion and Speech Intelligibility in Persons with Impaired Hearing." Journal of the American Academy of Audiology 24, no. 04 (April 2013): 307–28. http://dx.doi.org/10.3766/jaaa.24.4.6.
Повний текст джерелаJin, In-Ki, James M. Kates, and Kathryn H. Arehart. "Sensitivity of the Speech Intelligibility Index to the Assumed Dynamic Range." Journal of Speech, Language, and Hearing Research 60, no. 6 (June 10, 2017): 1674–80. http://dx.doi.org/10.1044/2017_jslhr-h-16-0348.
Повний текст джерелаKim, Gwang Min, and Jae Hee Lee. "Prediction of Software-Based Sentence-in-Noise Recognition Thresholds of Hearing-Impaired Listeners." Audiology and Speech Research 16, no. 2 (April 30, 2020): 140–46. http://dx.doi.org/10.21848/asr.200015.
Повний текст джерелаДисертації з теми "Speech intelligibility prediction"
Leopold, Sarah Yoho. "Factors Influencing the Prediction of Speech Intelligibility." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1460464847.
Повний текст джерелаEllaham, Nicolas. "Binaural Speech Intelligibility Prediction and Nonlinear Hearing Devices." Thesis, Université d'Ottawa / University of Ottawa, 2014. http://hdl.handle.net/10393/31713.
Повний текст джерелаTaghia, Jalal [Verfasser], Rainer [Gutachter] Martin, and Richard C. [Gutachter] Hendriks. "Speech intelligibility prediction and single-channel noise reduction based on information measures / Jalal Taghia ; Gutachter: Rainer Martin, Richard C. Hendriks." Bochum : Ruhr-Universität Bochum, 2016. http://d-nb.info/111944733X/34.
Повний текст джерелаLeclère, Thibaud. "Towards a binaural model for predicting speech intelligibility among competing voices in rooms." Thesis, Vaulx-en-Velin, Ecole nationale des travaux publics, 2015. http://www.theses.fr/2015ENTP0008/document.
Повний текст джерелаThis PhD work aims to propose a model predicting the perceived intelligibility of a target speech masked by competing sources in rooms. An existing model developed by Lavandier and Culling (2010) is already able to predict speech intelligibility of a near-field target in the presence of multiple noise sources. The present work deals with new implementations and experimental work needed to extend the model tothe case of a distant target and to the case of masking voices, which present different acoustical properties than noises (envelope fluctuations, fundamental frequency, modulations of fundamental frequency). The detrimental effect of reverberation on the target speech has been successfully implemented. This new version of the model provides a unified interpretation of several perceptual effects previously observed in the literature but it presents a room dependency which limits its predictive power. Experimental work has been conducted to determine how the model could account for sources presenting different spectra, and to account for several auditory mechanisms operating simultaneously (F0 segregation, spatial unmasking and temporal dip listening)
Messing, David P. (David Patrick) 1979. "Predicting confusions and intelligibility of noisy speech." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/42246.
Повний текст джерелаIncludes bibliographical references (leaves 202-207).
Current predictors of speech intelligibility are inadequate for making predictions of speech confusions caused by acoustic interference. This thesis is inspired by the need for a capability to understand and predict speech confusions caused by acoustic interference. The goal of this thesis is to develop models of auditory speech processing capable of predicting phonetic confusions by normally-hearing listeners, under a variety of acoustic distortions. In particular, we focus on modeling the Medial Olivocochlear efferent pathway (which provides feedback from the brain stem to the peripheral auditory system) and demonstrate its potential for speech identification in noise. Our results produced representations and performance that were robust to varying levels of additive noise and which mimicked human performance as measured by the Chi-squared test.
by David P. Messing.
Ph.D.
Частини книг з теми "Speech intelligibility prediction"
Tognola, Gabriella, Stefano Moriconi, and Emma Chiaramello. "On the Use of Acoustic Simulations and PESQ Measures for the Prediction of Speech Intelligibility in Sensorineural Hearing Loss." In IFMBE Proceedings, 9–12. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-11128-5_3.
Повний текст джерелаCulling, J. F., M. Lavandier, and S. Jelfs. "Predicting Binaural Speech Intelligibility in Architectural Acoustics." In The Technology of Binaural Listening, 427–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37762-4_16.
Повний текст джерелаHolube, Inga, Matthias Wesselkamp, Wouter A. Dreschler, and Birger Kollmeier. "Speech Intelligibility Prediction in Hearing-Impaired Listeners for Steady and Fluctuating Noise." In Modeling Sensorineural Hearing Loss, 447–59. Routledge, 2019. http://dx.doi.org/10.4324/9781315789392-35.
Повний текст джерелаNijs, L., and A. Schuur. "Expressing legal demands in acoustical quantities; is the reverberation time a good predictor for the speech intelligibility in a sports hall?" In Research in Building Physics, 879–87. CRC Press, 2020. http://dx.doi.org/10.1201/9781003078852-123.
Повний текст джерелаТези доповідей конференцій з теми "Speech intelligibility prediction"
Alghamdi, Ahmed, and Wai-Yip Chan. "Modified ESTOI for improving speech intelligibility prediction." In 2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE). IEEE, 2020. http://dx.doi.org/10.1109/ccece47787.2020.9255677.
Повний текст джерелаAndersen, Asger Heidemann, Esther Schoenmaker, and Steven van de Par. "Speech intelligibility prediction as a classification problem." In 2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP). IEEE, 2016. http://dx.doi.org/10.1109/mlsp.2016.7738814.
Повний текст джерелаKarbasi, Mahdie, Ahmed Hussen Abdelaziz, and Dorothea Kolossa. "Twin-HMM-based non-intrusive speech intelligibility prediction." In 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2016. http://dx.doi.org/10.1109/icassp.2016.7471750.
Повний текст джерелаSørensen, Charlotte, Jesper B. Boldt, and Mads G. Christensen. "Harmonic Beamformers for Non-Intrusive Speech Intelligibility Prediction." In Interspeech 2019. ISCA: ISCA, 2019. http://dx.doi.org/10.21437/interspeech.2019-2929.
Повний текст джерелаPaulraj, M. P., S. Yaacob, A. N. Abdullah, M. Thagirarani, and M. R. Tamjis. "Classroom speech intelligibility prediction using Elman neural network." In its Applications (CSPA). IEEE, 2010. http://dx.doi.org/10.1109/cspa.2010.5545255.
Повний текст джерелаAhnert, Wolfgang, Stefan Feistel, and Tobias Behrens. "Speech intelligibility prediction in very large sacral venues." In ICA 2013 Montreal. ASA, 2013. http://dx.doi.org/10.1121/1.4801009.
Повний текст джерелаTamjis, M. Ridhwan, Sazali Yaacob, Paul Raj M. Pandian, A. Nazri Abdullah, and Raymond Boon Whee Heng. "Feature based classification for classroom speech intelligibility prediction." In 2011 National Postgraduate Conference (NPC). IEEE, 2011. http://dx.doi.org/10.1109/natpc.2011.6136318.
Повний текст джерелаSorensen, Charlotte, Angeliki Xenaki, Jesper B. Boldt, and Mads G. Christensen. "Pitch-based non-intrusive objective intelligibility prediction." In 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2017. http://dx.doi.org/10.1109/icassp.2017.7952183.
Повний текст джерелаChen, Fei, and Tian Guan. "Non-intrusive intelligibility prediction for Mandarin speech in noise." In TENCON 2013 - 2013 IEEE Region 10 Conference. IEEE, 2013. http://dx.doi.org/10.1109/tencon.2013.6719062.
Повний текст джерелаKarbasi, Mahdie, Ahmed Hussen Abdelaziz, Hendrik Meutzner, and Dorothea Kolossa. "Blind Non-Intrusive Speech Intelligibility Prediction Using Twin-HMMs." In Interspeech 2016. ISCA, 2016. http://dx.doi.org/10.21437/interspeech.2016-155.
Повний текст джерелаЗвіти організацій з теми "Speech intelligibility prediction"
Scharine, Angelique A., Paula P. Henry, Mohan D. Rao, and Jason T. Dreyer. A Model for Predicting Intelligibility of Binaurally Perceived Speech. Fort Belvoir, VA: Defense Technical Information Center, April 2007. http://dx.doi.org/10.21236/ada466840.
Повний текст джерела