Factors influencing intelligibility of ideal binary-masked speech: Implications for noise reduction

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Factors influencing intelligibility of ideal binary-masked speech: implications for noise reduction.

The application of the ideal binary mask to an auditory mixture has been shown to yield substantial improvements in intelligibility. This mask is commonly applied to the time-frequency (T-F) representation of a mixture signal and eliminates portions of a signal below a signal-to-noise-ratio (SNR) threshold while allowing others to pass through intact. The factors influencing intelligibility of ...

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Improvement of intelligibility of ideal binary-masked noisy speech by adding background noise.

When a target-speech/masker mixture is processed with the signal-separation technique, ideal binary mask (IBM), intelligibility of target speech is remarkably improved in both normal-hearing listeners and hearing-impaired listeners. Intelligibility of speech can also be improved by filling in speech gaps with un-modulated broadband noise. This study investigated whether intelligibility of targe...

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Segmental contribution to the intelligibility of ideal binary-masked sentences

Many studies have shown the advantage of using ideal binary mask (IdBM) to improve the intelligibility of speech masked by interfering voices. The present work further investigated the segmental contribution to the intelligibility of the IdBMprocessed sentences. Three types (i.e., vowel-only, consonantonly, and vowel-consonant transition) of Mandarin IdBMprocessed stimuli were generated by usin...

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Role of mask pattern in intelligibility of ideal binary-masked noisy speech.

Intelligibility of ideal binary masked noisy speech was measured on a group of normal hearing individuals across mixture signal to noise ratio (SNR) levels, masker types, and local criteria for forming the binary mask. The binary mask is computed from time-frequency decompositions of target and masker signals using two different schemes: an ideal binary mask computed by thresholding the local S...

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Effect of the division between early and late reflections on intelligibility of ideal binary-masked speech.

The ideal binary mask (IBM) that was originally defined in anechoic conditions has been found to yield substantial improvements in speech intelligibility in noise. The IBM has recently been extended to reverberant conditions where the direct sound and early reflections of target speech are regarded as the desired signal. It is of great interest to know how the division between early and late re...

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ژورنال

عنوان ژورنال: The Journal of the Acoustical Society of America

سال: 2008

ISSN: 0001-4966

DOI: 10.1121/1.2832617