Gusó; EnricLuberadzka, JoannaBaig, MartíSayin, UmutSerra, Xavier2025-05-302023Gusó E, Luberadzka J, Baig M, Sayin Saraç U, Serra X. An objective evaluation of hearing aids and DNN-based speech enhancement in complex acoustic scenes. In: Kim M, Bryan N, Bello J, Elhilali M, Cartwright M, Bittner R, Pruthi T, Giacobello D, Fuentes M, Nam J, Brandstein M, Yoshii K, Virtanen T, editors. IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA 2023); 2023 Oct 22-25; New York: IEEE; 2023. 5 p. DOI: 10.1109/WASPAA58266.2023.10248112http://hdl.handle.net/10230/70564We investigate the objective performance of five high-end commercially available Hearing Aid (HA) devices compared to DNN-based speech enhancement algorithms in complex acoustic environments. To this end, we measure the HRTFs of a single HA device to synthesize a binaural dataset for training two state-of-the-art causal and non-causal DNN enhancement models. We then generate an evaluation set of realistic speech-in-noise situations using an Ambisonics loudspeaker setup and record with a KU100 dummy head wearing each of the HA devices, both with and without the conventional HA algorithms, applying the DNN enhancers to the latter. We find that the DNN-based enhancement outperforms the HA algorithms in terms of noise suppression and objective intelligibility metrics.application/pdfeng© 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. http://dx.doi.org/10.1109/WASPAA58266.2023.10248112info:eu-repo/semantics/conferenceObjectHearing aidsSpeech enhancementDenoisingDereverberationinfo:eu-repo/semantics/embargoedAccess