title: Hearing-aid automatic gain control adapting to two sound sources in the environment, using three time constants.
abstract: A hearing aid AGC algorithm is presented that uses a richer representation of the sound environment than previous algorithms. The proposed algorithm is designed to (1) adapt slowly (in approximately 10 s) between different listening environments, e.g., when the user leaves a single talker lecture for a multi-babble coffee-break; (2) switch rapidly (about 100 ms) between different dominant sound sources within one listening situation, such as the change from the user's own voice to a distant speaker's voice in a quiet conference room; (3) instantly reduce gain for strong transient sounds and then quickly return to the previous gain setting; and (4) not change the gain in silent pauses but instead keep the gain setting of the previous sound source. An acoustic evaluation showed that the algorithm worked as intended. The algorithm was evaluated together with a reference algorithm in a pilot field test. When evaluated by nine users in a set of speech recognition tests, the algorithm showed similar results to the reference algorithm.
authors.affiliation: Sound and Image Processing laboratory, KTH Signals, Sensors, and Systems, Osquldas v 10, Royal Institute of Technology, 100 44 Stockholm, Sweden. nordq@s3.kth.se
authors.forename: Peter
authors.initials: P
authors.lastname: Nordqvist
authors.forename: Arne
authors.initials: A
authors.lastname: Leijon
mesh_terms: D000162:Acoustics; D000465:Algorithms; D004777:Environment; D004867:Equipment Design; D006310:Hearing Aids; D006801:Humans; D010865:Pilot Projects; D013018:Sound Spectrography