Table 3.

Representative binaural speech intelligibility model results. Abbreviations introduced in this table: Intelligibility (Intel.), Speech-shaped noise (SSN), Ideal Binaural Mask (IBM), International Speech Test Signal (ISTS), Reverberation Time (RT), Clarity Prediction Challenge 1 (CPC1).

Paper Binaural model Intel. metric Subj. Noise, interference, and processing Room Correlation coefficient
Beutelmann et al. (2006) [11] EC SII NH, HI SSN (single source) Anechoic, Office, Cafeteria SRT: NH & HI 0.90–0.97
Beutelmann et al. (2010) [12] EC SII NH, HI Modulated SSN Anechoic, Room, Classroom, Church SRT: NH 0.80–0.93 HI 0.59–0.80
Hauth et al. (2020) [14] EC SII NH SSN (single source) Anechoic, Office, Cafeteria SRT 0.98
Andersen et al. (2016) [16] EC DBSTOI NH SSN, Café, Factory, Car IBM Proc., Beamform. Anechoic SRT and Intel 0.950–0.988
Andersen et al. (2018) [17] EC MBSTOI NH SSN, ISTS, Beamform, Wiener Filter Anechoic Intel Range 0.973–0.987
Chabot-Leclerc et al. (2016) [18] EC Env Power SNR NH SSN Anechoic, Room, Classroom, Church SRT 0.91
Biberger and Ewert (2022) [19] Better Ear plus Binaural Matrix Feature Decoder Env Power SNR NH SSN, Modulated SSN, ISTS, Single talker Anechoic headphone (dichotic stimuli) SRT: 0.985–0.990
Lavandier and Culling (2010) [6] BMLD Formula Effective SNR NH SSN Anechoic, Various Rooms. RT  =  0.22 s, 1.30 s SRT 0.95–0.97
Lavandier et al. (2012) [25] BMLD Formula Effective SNR NH SSN for single and multiple sources Two meeting rooms, lecture hall SRT 0.95–0.99
Vicente et al. (2020) [27] BMLD Formula Effective SNR NH, HI SSN, Noise Vocoder Anechoic, Anechoic + ILD, ITD SRT 0.93–0.98
Titalim et al. (2022) [23] DNN DNN HI CPC1 Dataset: Various scenes CPC1 Dataset: Various scenes Intel 0.74 (Closed set)
Mawalim et al. (2022) [24] DNN DNN HI CPC1 Dataset: Various scenes CPC1 Dataset: Various scenes Intel 0.77 (Closed set)

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