title: Automatic estimation of the first subglottal resonance.
abstract: This letter focuses on the automatic estimation of the first subglottal resonance (Sg1). A database comprising speech and subglottal data of native American English speakers and bilingual Spanish/English speakers was used for the analysis. Data from 11 speakers (five males and six females) were used to derive an empirical relation among the first formant frequency, fundamental frequency, and Sg1. Using the derived relation, Sg1 was automatically estimated from voiced sounds in English and Spanish sentences spoken by 22 different speakers (11 males and 11 females). The error in estimating Sg1 was less than 50 Hz, on average.
authors.affiliation: Department of Electrical Engineering, University of California, Los Angeles, California 90095, USA. harishan@ucla.edu
authors.forename: Harish
authors.initials: H
authors.lastname: Arsikere
authors.forename: Steven M
authors.initials: SM
authors.lastname: Lulich
authors.forename: Abeer
authors.initials: A
authors.lastname: Alwan
mesh_terms: D000054:Acceleration; D000162:Acoustics; D000328:Adult; D000465:Algorithms; D003308:Copying Processes; D016208:Databases, Factual; D005260:Female; D006801:Humans; D007802:Language; D007830:Larynx; D008297:Male; D010700:Phonetics; D012727:Sex Characteristics; D013018:Sound Spectrography / Q000379:methods*; D049250:Speech Recognition Software