title: Model-based speech enhancement using a bone-conducted signal.
abstract: Codebook-based single-microphone noise suppressors, which exploit prior knowledge about speech and noise statistics, provide better performance in nonstationary noise. However, as the enhancement involves a joint optimization over speech and noise codebooks, this results in high computational complexity. A codebook-based method is proposed that uses a reference signal observed by a bone-conduction microphone, and a mapping between air- and bone-conduction codebook entries generated during an offline training phase. A smaller subset of air-conducted speech codebook entries that accurately models the clean speech signal is selected using this reference signal. Experiments support the expected improvement in performance at low computational complexity.
authors.affiliation: Philips Research, High Tech Campus 36, 5656AE Eindhoven, The Netherlands. patrick.kechichian@philips.com
authors.forename: Patrick
authors.initials: P
authors.lastname: Kechichian
authors.forename: Sriram
authors.initials: S
authors.lastname: Srinivasan
mesh_terms: D001844:Bone Conduction / Q000502:physiology*; D006801:Humans; D008962:Models, Theoretical; D009622:Noise; D012016:Reference Values; D059629:Signal-To-Noise Ratio; D013061:Speech Acoustics; D013065:Speech Intelligibility / Q000502:physiology*; D013067:Speech Perception / Q000502:physiology*