title: Spectro-temporal modulation energy based mask for robust speaker identification.
abstract: Spectro-temporal modulations of speech encode speech structures and speaker characteristics. An algorithm which distinguishes speech from non-speech based on spectro-temporal modulation energies is proposed and evaluated in robust text-independent closed-set speaker identification simulations using the TIMIT and GRID corpora. Simulation results show the proposed method produces much higher speaker identification rates in all signal-to-noise ratio (SNR) conditions than the baseline system using mel-frequency cepstral coefficients. In addition, the proposed method also outperforms the system, which uses auditory-based nonnegative tensor cepstral coefficients [Q. Wu and L. Zhang, "Auditory sparse representation for robust speaker recognition based on tensor structure," EURASIP J. Audio, Speech, Music Process. 2008, 578612 (2008)], in low SNR (≤ 10 dB) conditions.
authors.affiliation: Department of Electrical Engineering, National Chiao Tung University, Hsinchu 300, Taiwan. tschi@mail.nctu.edu.tw
authors.forename: Tai-Shih
authors.initials: TS
authors.lastname: Chi
authors.forename: Ting-Han
authors.initials: TH
authors.lastname: Lin
authors.forename: Chung-Chien
authors.initials: CC
authors.lastname: Hsu
mesh_terms: D000465:Algorithms; D003051:Cochlea / Q000276:immunology / Q000502:physiology; D003198:Computer Simulation; D005260:Female; D006309:Hearing / Q000502:physiology; D006801:Humans; D008297:Male; D008954:Models, Biological; D009474:Neurons / Q000502:physiology; D009622:Noise; D010470:Perceptual Masking / Q000502:physiology; D013018:Sound Spectrography; D013065:Speech Intelligibility / Q000502:physiology; D013067:Speech Perception / Q000502:physiology*