A Speech Test with Speech-Babble Noise : Relation Between Frequency Range of Noise and Word Intelligibility

Word intelligibility estimation of noise-reduced speech

It is indispensable to establish an objective test methodology for noise-reduced speech. This paper proposes a new methodology which estimates word intelligibility of the noise-reduced speech from PESQ MOS (subjective MOS estimated by the PESQ). To evaluate the effectiveness of the proposed methodology, a word intelligibility test of the noise-reduced speech was performed by using four noise re...

The Words-in-Noise (WIN) test with multitalker babble and speech-spectrum noise maskers.

The Words-in-Noise (WIN) test uses monosyllabic words in seven signal-to-noise ratios of multitalker babble (MTB) to evaluate the ability of individuals to understand speech in background noise. The purpose of this study was to evaluate the criterion validity of the WIN by comparing recognition performances under MTB and speech-spectrum noise (SSN) using listeners with normal hearing and listen...

Objective Estimation of Word Intelligibility for Noise-Reduced Speech

It is essential to ensure a satisfactory QoS (Quality of Service) when offering a speech communication system with a noise reduction algorithm. In this paper, we propose a new obejective test methodology for noise-reduced speech that estimates word intelligibility by using a distortion measure. Experimental results confirmed that the proposed methodology gives an accurate estimate with independ...

FIST: a French sentence test for speech intelligibility in noise.

Callsign Acquisition Test (CAT): speech intelligibility in noise.

OBJECTIVE The study was designed to assess the effects of noise on the intelligibility of speech elements used in the Callsign Acquisition Test (CAT), developed by the U.S. Army Research Laboratory. The CAT consists of 126 test items, or callsigns, each of which is made up of a two-syllable word selected from the 18-item military alphabet (Alpha-Zulu) followed by a one-syllable number (all numb...