Speech processing in the automotive environment is a challenging problem due to the presence of powerful and unpredictable nonstationary noise. This thesis addresses two detection problems involving both nonstationary noise signals and nonstationary desired signals. Two detectors are developed: one to detect passing vehicle noise in the presence of speech and one to detect speech in the presence of passing vehicle noise. The latter is then measured against a state-of-the-art voice activity detector used in telephony. The process of compiling a library of recordings in the automobile to facilitate this research is also detailed.
Worcester Polytechnic Institute
Electrical & Computer Engineering
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Laverty, Stephen William, "Detection of Nonstationary Noise and Improved Voice Activity Detection in an Automotive Hands-free Environment" (2005). Masters Theses (All Theses, All Years). 804.
automobile, noise reduction, passing vehicle noise, hands-free, Speech processing, Automatic speech recognition, Noise, Automobiles, Automatic control