Speech intelligibility and talker identification with non-telephone frequencies

Author:

Wang Xianhui1ORCID,Ge Jonathan2,Meller Leo3,Yang Ye1,Zeng Fan-Gang1ORCID

Affiliation:

1. Center for Hearing Research, Departments of Anatomy and Neurobiology, Biomedical Engineering, Cognitive Sciences, and Otolaryngology—Head and Neck Surgery, University of California Irvine 1 , Irvine, California 92697, USA

2. Warren Alpert School of Medicine, Brown University 2 , Providence, Rhode Island 02903, USA

3. School of Medicine, University of California San Diego 3 , La Jolla, California 92093, USA kayew@hs.uci.edu , jonathan_ge@brown.edu , l5tang@health.ucsd.edu , yey27@uci.edu , fzeng@hs.uci.edu

Abstract

Although the telephone band (0.3–3 kHz) provides sufficient information for speech recognition, the contribution of the non-telephone band (<0.3 and >3 kHz) is unclear. To investigate its contribution, speech intelligibility and talker identification were evaluated using consonants, vowels, and sentences. The non-telephone band produced relatively good intelligibility for consonants (76.0%) and sentences (77.4%), but not vowels (11.5%). The non-telephone band supported good talker identification only with sentences (74.5%), but not vowels (45.8%) or consonants (10.8%). Furthermore, the non-telephone band cannot produce satisfactory speech intelligibility in noise at the sentence level, suggesting the importance of full-band access in realistic listening.

Publisher

Acoustical Society of America (ASA)

Reference45 articles.

1. Frequency-importance functions for words in high- and low-context sentences;J. Speech Lang. Hear. Res.,1992

2. Two-formant models, pitch and vowel perception;Auditory Analysis and Perception of Speech,1975

3. Some studies concerning perception of isolated vowels;STL-QPSR,1970

4. Unintelligible low-frequency sound enhances simulated cochlear-implant speech recognition in noise;IEEE Trans. Biomed. Eng.,2006

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