Structure-based voiced/usable speech detection using state space embedding

Co-channel speech separation using state-space reconstruction and sinusoidal modelling

“…This type of attractor is commonly known as a strange attractor. 46 Prom the above example, we can conclude that in certain situations the statespace emphasizes characteristics of the underlying system that can barely be seen in the original time or frequency spaces. Within the state-space, several features such as recurrence and parallelness between trajectories can be extracted and utilized in further processing.…”

“…• Spectral autocorrelation peak-to-valley ratio (SAPVR) [39,40] • Local kurtosis [41] • Adjacent pitch period comparison (APPC) [42] • Cyclostationarity and wavelet transform [43] • Linear predictive analysis [44,45] • Difference-mean comparison (DMC) and nodal density (ND) [46] To ensure that an efficient usable speech detection system was developed, several usable speech detection features containing complementary information were fused [38,47]. As a result, the overall performance of the detection system was enhanced.…”