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المؤلفون: Thomas Behrens, Michael Syskind Pedersen, Jesper Jensen, Asger Heidemann Andersen, Emina Alickovic, Sébastien Santurette, Lorenz Fiedler
المصدر: Seminars in Hearing
مصطلحات موضوعية: Hearing aid, noise reduction, Computer science, business.industry, medicine.medical_treatment, Deep learning, Noise reduction, Review Article, beamforming, law.invention, Personalization, Speech and Hearing, Noise, directionality, postfiltering, Human–computer interaction, law, medicine, CLARITY, Active listening, Selective attention, Artificial intelligence, business
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المصدر: Pedersen, M, Andersen, A H, Jensen, S H & Jensen, J 2020, A Neural Network for Monaural Intrusive Speech Intelligibility Prediction . in ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ., 9052949, IEEE, International Conference on Acoustics Speech and Signal Processing (ICASSP), pp. 336-340, ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, 04/05/2020 . https://doi.org/10.1109/ICASSP40776.2020.9052949
ICASSPمصطلحات موضوعية: intelligibility, monaural, Artificial neural network, Computer science, Speech recognition, speech, intrusive, prediction, Monaural, Intelligibility (communication), 01 natural sciences, 030507 speech-language pathology & audiology, 03 medical and health sciences, 0103 physical sciences, Active listening, 0305 other medical science, 010301 acoustics
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المصدر: Heidemann Andersen, A, de Haan, J M, Tan, Z-H & Jensen, J 2018, ' Refinement and validation of the binaural short time objective intelligibility measure for spatially diverse conditions ', Speech Communication, vol. 102, pp. 1-13 . https://doi.org/10.1016/j.specom.2018.06.001
مصطلحات موضوعية: Linguistics and Language, Computer science, Speech recognition, Speech enhancement, Modified method, Intelligibility (communication), 01 natural sciences, Language and Linguistics, Binaural hearing, 030507 speech-language pathology & audiology, 03 medical and health sciences, Prediction methods, 0103 physical sciences, Active listening, 010301 acoustics, Signal processing, Communication, Speech intelligibility prediction, Speech processing, Computer Science Applications, Modeling and Simulation, Computer Vision and Pattern Recognition, 0305 other medical science, Binaural recording, Software
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المصدر: Heidemann Andersen, A, de Haan, J M, Tan, Z-H & Jensen, J 2016, ' Predicting the Intelligibility of Noisy and Nonlinearly Processed Binaural Speech ', I E E E Transactions on Audio, Speech and Language Processing, vol. 24, no. 11, pp. 1908-1920 . https://doi.org/10.1109/TASLP.2016.2588002
مصطلحات موضوعية: Beamforming, Acoustics and Ultrasonics, Computer science, Speech recognition, 020206 networking & telecommunications, 02 engineering and technology, Intelligibility (communication), Speech processing, Time–frequency analysis, Speech enhancement, 030507 speech-language pathology & audiology, 03 medical and health sciences, Computational Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Computer Science (miscellaneous), Active listening, Electrical and Electronic Engineering, 0305 other medical science, MATLAB, computer, Binaural recording, computer.programming_language
وصف الملف: application/pdf
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المصدر: Heidemann Andersen, A, Haan, J M D, Tan, Z-H & Jensen, J 2018, ' Nonintrusive Speech Intelligibility Prediction Using Convolutional Neural Networks ', IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 26, no. 10, pp. 1925-1939 . https://doi.org/10.1109/TASLP.2018.2847459
مصطلحات موضوعية: Structure (mathematical logic), Nonintrusive speech intelligibility prediction, Acoustics and Ultrasonics, Artificial neural network, Noise measurement, Computer science, business.industry, Deep learning, Speech recognition, SIGNAL (programming language), 020206 networking & telecommunications, 02 engineering and technology, Speech processing, Convolutional neural network, Visualization, 030507 speech-language pathology & audiology, 03 medical and health sciences, Computational Mathematics, convolutional neural networks, 0202 electrical engineering, electronic engineering, information engineering, Computer Science (miscellaneous), Artificial intelligence, Electrical and Electronic Engineering, 0305 other medical science, business
وصف الملف: application/pdf
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المصدر: Heidemann Andersen, A, de Haan, J M, Tan, Z-H & Jensen, J 2017, On the Use of Band Importance Weighting in the Short-Time Objective Intelligibility Measure . in Proc. Interspeech 2017 . ISCA, INTERSPEECH, vol. 2017, pp. 2963-2967, Interspeech 2017, Stockholm, Sweden, 20/08/2017 . https://doi.org/10.21437/Interspeech.2017-1043
INTERSPEECHمصطلحات موضوعية: Psophometric weighting, 030507 speech-language pathology & audiology, 03 medical and health sciences, Computer science, Speech recognition, 0202 electrical engineering, electronic engineering, information engineering, 020206 networking & telecommunications, 02 engineering and technology, Intelligibility (communication), 0305 other medical science, Weighting
وصف الملف: application/pdf
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المصدر: ICASSP
Heidemann Andersen, A, de Haan, J M, Tan, Z-H & Jensen, J 2017, A Non-Intrusive Short-Time Objective Intelligibility Measure . in 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . IEEE, The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing, New Orleans, United States, 05/03/2017 . https://doi.org/10.1109/ICASSP.2017.7953125مصطلحات موضوعية: 030507 speech-language pathology & audiology, 03 medical and health sciences, Computer science, Speech recognition, 0202 electrical engineering, electronic engineering, information engineering, 020206 networking & telecommunications, 02 engineering and technology, Intelligibility (communication), 0305 other medical science, Hidden Markov model, Speech processing
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المصدر: MLSP
مصطلحات موضوعية: Voice activity detection, Noise measurement, business.industry, Computer science, Speech recognition, Feature extraction, Intelligibility (communication), computer.software_genre, Speech processing, Linear discriminant analysis, 01 natural sciences, 030507 speech-language pathology & audiology, 03 medical and health sciences, Binary classification, 0103 physical sciences, Active listening, Artificial intelligence, 0305 other medical science, business, 010301 acoustics, computer, Natural language processing
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المصدر: Heidemann Andersen, A, Haan, J M D, Tan, Z-H & Jensen, J 2016, A method for predicting the intelligibility of noisy and non-linearly enhanced binaural speech . in 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . IEEE, pp. 4995-4999, The 41st IEEE International Conference on Acoustics, Speech and Signal Processing, Shanghai, China, 20/03/2016 . https://doi.org/10.1109/ICASSP.2016.7472628
ICASSPمصطلحات موضوعية: Hearing aid, Beamforming, Computer science, Speech recognition, medicine.medical_treatment, 020206 networking & telecommunications, 02 engineering and technology, Intelligibility (communication), Speech processing, 030507 speech-language pathology & audiology, 03 medical and health sciences, 0202 electrical engineering, electronic engineering, information engineering, medicine, Speech reception threshold, 0305 other medical science, Binaural recording
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المصدر: INTERSPEECH
Andersen, A H, De Haan, J M, Tan, Z H & Jensen, J 2015, A Binaural Short Time Objective Intelligibility Measure for Noisy and Enhanced Speech . in Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH . vol. 2015-January, International Speech and Communication Association, INTERSPEECH, pp. 2563-2567, 16th Annual Conference of the International Speech Communication Association, INTERSPEECH 2015, Dresden, Germany, 06/09/2015 . < http://www.isca-speech.org/archive/interspeech_2015/i15_2563.html >مصطلحات موضوعية: Computer science, Speech recognition, Intelligibility (communication), Binaural recording