title: A multi-band environment-adaptive approach to noise suppression for cochlear implants.
abstract: This paper presents an improved environment-adaptive noise suppression solution for the cochlear implants speech processing pipeline. This improvement is achieved by using a multi-band data-driven approach in place of a previously developed single-band data-driven approach. Seven commonly encountered noisy environments of street, car, restaurant, mall, bus, pub and train are considered to quantify the improvement. The results obtained indicate about 10% improvement in speech quality measures.
authors.forename: Fatemeh
authors.initials: F
authors.lastname: Saki
authors.forename: Taher
authors.initials: T
authors.lastname: Mirzahasanloo
authors.forename: Nasser
authors.initials: N
authors.lastname: Kehtarnavaz
mesh_terms: D000465:Algorithms; D019929:Cochlear Implantation / Q000379:methods; D003054:Cochlear Implants; D003638:Deafness / Q000534:rehabilitation / Q000601:surgery*; D004777:Environment; D006801:Humans; D009622:Noise; D016011:Normal Distribution; D012815:Signal Processing, Computer-Assisted; D059629:Signal-To-Noise Ratio; D013060:Speech; D013067:Speech Perception / Q000502:physiology*