ALGORITHMS FOR SEPARATING THE SPEECH OF INTERFERING TALKERS - EVALUATIONS WITH VOICED SENTENCES, AND NORMAL-HEARING AND HEARING-IMPAIRED LISTENERS

Two signal-processing algorithms, derived from those described by Stubbs and Summerfield [R. J. Stubbs and Q. Summerfield, J. Acoust. Soc. Am. 84, 1236–1249 (1988) ], were used to separate the voiced speech of two talkers speaking simultaneously, at similar intensities, in a single channel. Both algorithms use fundamental frequency (FO) as the basis for segregation. One attenuates the interfering voice by filtering the cepstrum of the signal. The other is a hybrid algorithm that combines cepstral filtering with the technique of harmonic selection [T. W. Parsons, J. Acoust. Soc. Am. 60, 911–918 (1976) ]. The algorithms were evaluated and compared in perceptual experiments involving listeners with normal hearing and listeners with cochlear hearing impairments. In experiment 1 the processing was used to separate voiced sentences spoken on a monotone. Both algorithms gave significant increases in intelligibility to both groups of listeners. The improvements were equivalent to an increase of 3–4 dB in the effective signal-to-noise ratio (SNR). In experiment 2 the processing was used to separate voiced sentences spoken with time-varying intonation. For normal-hearing listeners, cepstral filtering gave a significant increase in intelligibility, while the hybrid algorithm gave an increase that was on the margins of significance (p = 0.06). The improvements were equivalent to an increase of 2–3 dB in the effective SNR. For impaired listeners, no intelligibility improvements were demonstrated with intoned sentences. The decrease in performance for intoned material is attributed to limitations of the algorithms when F0 is nonstationary. © 1990, Acoustical Society of America. All rights reserved.