Improving speech intelligibility in noise environments by spectral shaping and dynamic range compression
نویسندگان
چکیده
Speech produced under real conditions (not a recording studio, nor a quiet room) is not always equally intelligible due to the presence of background noise. This noise may mask part of the speech signal such that not all speech information is available to the listener. The ability to detect speech in noise plays a significant role in our communication with others. In this work we suggest the use of a non-parametric way to improve the intelligibility of speech under adverse noisy conditions by modifying the speech signal accordingly.
منابع مشابه
Real-time Speech-in-noise Intelligibility Enhancement Based on Spectral Shaping and Dynamic Range Compression
We demonstrate a real-time implementation of a speech-innoise intelligibility enhancement algorithm based on spectral shaping and dynamic range compression. The signal is enhanced before presented in a noisy environment, under the constraint of equal global signal power before and after modifications. The demonstrator modifies in real-time prerecorded sentences as well as input from a microphon...
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