Voice activity detection for an in-vehicle environment
Yan Yonghong · Applied Acoustics · 2012
Voice activity detection(VAD) is very important for speech interaction and communication systems to discriminate the segments of speech and background noise.The speech/ non-speech classification is usually based on the time-frequency features of speech and noise,among which the periodicity and harmonic feature is widely used.However,these kinds of feature cannot be extracted reliably for the in-vehicle speech applications,where the signal-to-noise ratio(SNR) is low and the noise is non-stationary.A fast voice detection algorithm is proposed in this paper based on the harmonic-structure of voice.Several harmonic templates are generated with fundamental frequency varies in log-scale,and they are used to detect the clear harmonic structure in several small time-frequency blocks separately.The proposed voice activity detection algorithm shows good performance on the real in-vehicle database.