Separation of simultaneous voices
Author(s) -
R.J. Stubbs,
Quentin Summerfield
Publication year - 1987
Publication title -
the journal of the acoustical society of america
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.619
H-Index - 187
eISSN - 1520-8524
pISSN - 0001-4966
DOI - 10.1121/1.2024313
Subject(s) - harmonics , acoustics , harmonic , fundamental frequency , computer science , speech recognition , noise (video) , separation (statistics) , vowel , mathematics , physics , artificial intelligence , quantum mechanics , voltage , machine learning , image (mathematics)
People with sensorineural hearing impairments find the task of separating speech from interfering noises particularly difficult. For this reason, the ideal hearing aid would selectively amplify a target voice while attenuating competing voices and other background noises. In exploring possible noise‐reduction strategies for future aids, two algorithms for separating the voices of talkers who are speaking simultaneously, with periodic excitation at similar overall intensities, are evaluated. Both approaches are pitch based and exploit the regularity in the harmonic structure of voiced speech. The first involves attenuating the harmonics of the competing voice via a cepstrumlike representation. The second method is derived from the procedure for harmonic selection [T. W. Parsons, J. Acoust. Soc. Am. 60, 911–918 (1976)]. Perceptual evaluation of the two processing methods, in a test involving the separation of concurrent vowel pairs synthesized on fixed fundamental frequencies, has demonstrated an increase i...
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