## Appendix A Examples of The Headphones Models Used in the Listening Test
(2015) [PERSON]; [PERSON]; [PERSON], [PERSON] Robust localisation of multiple speakers exploiting head movements and multi-conditional training of binaural cues. In Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Institute of Electrical and Electronics Engineers (IEEE), Brisbane, Australia, 19-24 April 2015; pp. 2679-2683. * [PERSON] and [PERSON] (2016) [PERSON]; [PERSON], [PERSON] Speech localisation in a multitaliker mixture by humans and machines. In Proceedings of the INTERSPEECH 2016, San Francisco, CA, USA, 8-12 September 2016; pp. 3359-3363. [CrossRef]
* [PERSON] et al. (2017) [PERSON]; [PERSON]; [PERSON] Exploiting Deep Neural Networks and Head Movements for Robust Binaural Localization of Multiple Sources in Reverberant Environments. _IEEE/ACM Trans. Audio Speech Lang. Process._**2017**, _25_, 2444-2453. [CrossRef]
* [PERSON] et al. (2018) [PERSON]; [PERSON]; [PERSON] Robust Binaural Localization of a Target Sound Source by Combining Spectral Source Models and Deep Neural Networks. _IEEE/ACM Trans. Audio Speech Lang. Process._**2018**, _26_, 2122-2131. [CrossRef]
* [PERSON] et al. (2020) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Binaural sound localization based on deep neural network and affinity propagation clustering in mismatched HRTF condition. _EURASIP J Audio Speech Music Process._**2020**, \(4\). [CrossRef]
* [PERSON] et al. (2019) [PERSON]; [PERSON]; [PERSON]; [PERSON] End-to-end binaural sound localisation from the raw waveform. In Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, UK, 12-17 April 2019; pp. 451-455. * [PERSON] et al. (2017) [PERSON]; [PERSON]; [PERSON] Convolutional neural networks with binaural representations and background subtraction for acoustic scene classification. In Proceedings of the Conference on Detection and Classification of Acoustic Scenes and Events 2017, Munich, Germany, 16 November 2017; pp. 1-5. * [PERSON] (2019) [PERSON] A Computational Framework for Modelling Active Exploratory Listening that Assigns Meaning to Auditory Scenes--Reading the World with Two Ears. Available online: [[http://twoears.eu](http://twoears.eu)]([http://twoears.eu](http://twoears.eu)) (accessed on 8 March 2019). * [PERSON] et al. (2016) [PERSON]; [PERSON]; [PERSON] Computational models of auditory scene analysis: A review. _Front. Neurosci._**2016**, _10_, 1-16. [CrossRef] [PubMed]* _[PERSON] et al. (2015)_ [PERSON]; [PERSON]; [PERSON]; [PERSON] Acoustic scene classification: Classifying environments from the sounds they produce. _IEEE Signal. Process. Mag._**2015**, _32_, 16-34. [CrossRef]
* _[PERSON] and [PERSON] (2019)_ [PERSON]; [PERSON] Enhancing Sound Texture in CNN-based Acoustic Scene Classification. In Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, UK, 12-17 May 2019; pp. 815-819. * _[PERSON] et al. (2016)_ [PERSON]; [PERSON]; [PERSON]; [PERSON] Categorization of Broadcast Audio Objects in Complex Auditory Scenes. _J. Audio Eng. Soc._**2016**, _64_, 380-394. [CrossRef]
* _[PERSON] et al. (2017)_ [PERSON]; [PERSON] Microphone Array Impulse Response (MAIR) Library for Spatial Audio Research. In Proceedings of the 143 rd AES Convention, New York, NY, USA, 8 October 2017. * _[PERSON] et al. (2020)_ [PERSON]; [PERSON] Database for Automatic Spatial Audio Scene Classification in Binaural Recordings of Music. Zenodo. Available online: [[https://zenodo.org](https://zenodo.org)]([https://zenodo.org](https://zenodo.org)) (accessed on 7 April 2020). * _[PERSON] et al. (2014)_ [PERSON]; [PERSON]; [PERSON] Measurement and analysis of a spatially sampled binaural room impulse response dataset. In Proceedings of the 21 st International Congress on Sound and Vibration, Beijing, China, 13-17 July 2014; pp. 13-17. * _[PERSON] et al. (2012)_ [PERSON]; [PERSON]; [PERSON] A Spatial Audio Impulse Response Compilation Captured at the WDR Broadcast Studios.