title: Speech perception of noise with binary gains.
abstract: For a given mixture of speech and noise, an ideal binary time-frequency mask is constructed by comparing speech energy and noise energy within local time-frequency units. It is observed that listeners achieve nearly perfect speech recognition from gated noise with binary gains prescribed by the ideal binary mask. Only 16 filter channels and a frame rate of 100 Hz are sufficient for high intelligibility. The results show that, despite a dramatic reduction of speech information, a pattern of binary gains provides an adequate basis for speech perception.
authors.affiliation: Department of Computer Science & Engineering, and Center for Cognitive Science, The Ohio State University, Columbus, Ohio 43210, USA. dwang@cse.ohio-state.edu
authors.forename: DeLiang
authors.initials: D
authors.lastname: Wang
authors.forename: Ulrik
authors.initials: U
authors.lastname: Kjems
authors.forename: Michael S
authors.initials: MS
authors.lastname: Pedersen
authors.forename: Jesper B
authors.initials: JB
authors.lastname: Boldt
authors.forename: Thomas
authors.initials: T
authors.lastname: Lunner
mesh_terms: D000161:Acoustic Stimulation; D000328:Adult; D001302:Audiometry, Speech; D001309:Auditory Threshold; D006801:Humans; D008875:Middle Aged; D009622:Noise; D046709:Pattern Recognition, Physiological; D010470:Perceptual Masking; D021641:Recognition, Psychology; D013018:Sound Spectrography; D013065:Speech Intelligibility; D013067:Speech Perception; D013997:Time Factors