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Journal ArticleDOI

The enhancement of speech intelligibility in high noise levels by high-pass filtering followed by rapid amplitude compression

TLDR
It is shown that this new method resuits in a substantial improvement in the intelligibility of speech in white noise over normal speech and over previously implemented methods.
Abstract
This paper presents the results of an examination of rapid amplitude compression following high-pass filtering as a method for processing speech, prior to reception by the listener, as a means of enhancing the intelligibility of speech in high noise levels. Arguments supporting this particular signal processing method are based on the results of previous perceptual studies of speech in noise. In these previous studies, it has been shown that high-pass filtered/clipped speech offers a significant gain in the intelligibility of speech in white noise over that for unprocessed speech at the same signal-to-noise ratios. Similar results have also been obtained for speech processed by high-pass filtering alone. The present paper explores these effects and it proposes the use of high-pass filtering followed by rapid amplitude compression as a signal processing method for enhancing the intelligibility of speech in noise. It is shown that this new method resuits in a substantial improvement in the intelligibility of speech in white noise over normal speech and over previously implemented methods.

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Citations
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Journal ArticleDOI

Statistical-model-based speech enhancement systems

TL;DR: A unified statistical approach for the three basic problems of speech enhancement is developed, using composite source models for the signal and noise and a fairly large set of distortion measures.
PatentDOI

Background Noise Compensation in a Telephone Network

TL;DR: In this article, an automated method for modifying a speech signal in a telephone network by applying a gain factor which is a function of the level of background noise at a given destination, and transmitting the modified speech signal to the destination was proposed.
Journal ArticleDOI

The contribution of changes in F0 and spectral tilt to increased intelligibility of speech produced in noise

TL;DR: In the presence of speech-shaped noise, flattening of spectral tilt contributed greatly to the intelligibility gain of noise-induced speech over speech produced in quiet while an increase in F0 did not have a significant influence.
Journal ArticleDOI

Evaluating the intelligibility benefit of speech modifications in known noise conditions

TL;DR: The current study compares the benefits of speech modification algorithms in a large-scale speech intelligibility evaluation and quantifies the equivalent intensity change, defined as the amount in decibels that unmodified speech would need to be adjusted by in order to achieve the same intelligibility as modified speech.
Proceedings ArticleDOI

Speech-in-noise intelligibility improvement based on spectral shaping and dynamic range compression.

TL;DR: Experiments with speech shaped (SSN) and competing speaker types of noise at various low SNR values show that the suggested approach outperforms state-of-the art methods in terms of the Speech Intelligibility Index (SII).
References
More filters
Journal ArticleDOI

Articulation testing methods.

James P. Egan
- 01 Sep 1948 - 
Journal ArticleDOI

Masking of Speech by Noise at High Sound Levels

TL;DR: In this article, a wide range of speech and noise spectra were examined at high noise levels for a range of different speech spectra and the authors found that deterioration of speech intelligibility was observed with a constant speech-to-noise (S/N) ratio at high levels of noise.
Journal ArticleDOI

On the Intelligibility of Bands of Speech in Noise

TL;DR: In this article, a large number of communication systems having band widths ranging from about one-half octave to a system covering the entire range of speech frequencies were tested with two spectra of masking noise.
Journal ArticleDOI

The use of fast limiting to improve the intelligibility of speech in noise

TL;DR: In this article, a comparison between the conventional speech clipper and an experimentally fast speech limiter was made to determine which system produced the more intelligible speech in the presence of noise.
Journal ArticleDOI

Optimum Linear Filter for Speech Transmission

TL;DR: The optimum linear solution is analytically derived, and consists of a speech‐processing filter in the transmitter that was experimentally verified by articulation tests as the optimum linear configuration, and was significantly more intelligible than other filters that bounded it.
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