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The Effect of Speaker and Noise Type on the Accuracy of Estimated Speech Intelligibility Using Objective Measures.

. IIH-MSP, page 294-297. IEEE Computer Society, (2011)

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Non-intrusive Speech Intelligibility Prediction of Speech with Additive Noise and Reverberation Using Multiple Deep Learning-Based Speech Enhancement., and . GCCE, page 918-920. IEEE, (2023)Evaluation of the real-time indoor location and motion direction estimation system applying DNN to RSSI Fingerprints of BLE beacons., , and . GCCE, page 886-887. IEEE, (2020)Evaluation of Home Appliance Speakers with Correction Filters for Voice Communications., , , and . GCCE, page 46-47. IEEE, (2022)De-reverberation using DNN for Non-Reference Reverberant Speech Intelligibility Estimation., and . GCCE, page 349-350. IEEE, (2018)On Reference Signal Estimation from Noisy Speech Using Deep Learning for Intelligibility Estimation., and . GCCE, page 347-348. IEEE, (2018)On an efficient masking system using human head tracking parametric speaker system., and . GCCE, page 225-226. IEEE, (2015)Efficiency evaluation of a super-directive masking system that tracks the masker beam towards the target human head., , and . GCCE, page 1-2. IEEE, (2016)Experimental evaluation of an active speech control method., and . ICASSP (3), page 117-120. IEEE, (2005)Towards Estimation of Quality of Watermarked Audio Signal Using Objective Measures.. IIH-MSP, page 279-282. IEEE, (2013)On the Use of Objective Quality Measures to Estimate Watermarked Audio Quality.. IIH-MSP, page 126-129. IEEE, (2012)