this paper presents a gain scheduled autopilot for pitch channel of a flying vehicle. the selected method is based on polynomial fuzzy systems. the method does not involve linearization about operating point. first the polynomial fuzzy model of pitch channel of the flight body is derived. next, using polynomial fuzzy system methodology the controller is design such that the outputs of the nonli...

One major source of performance decline in speaker recognition system is channel mismatch between training and testing. This paper focuses on improving channel robustness of speaker recognition system in two aspects of channel compensation technique and channel robust features. The system is text-independent speaker identification system based on two-stage recognition. In the aspect of channel ...

A method for speech signal enhancement is developed with application to automatic speaker recognition where the signals have different channel conditions. The basis of this technique is a robust pitch detection algorithm that accurately estimates the instantaneous pitch rate, and extracts single pitch period speech segments. This technique of pitch synchronized speech processing (PSSP) provides...

Recently, usable speech criteria [1] are proposed to extract minimally corrupted speech for speaker identification (SID) in co-channel speech. In this paper, we propose a new usable speech extraction method to improve the SID performance under the co-channel situation based on the pitch information obtained from a robust multi-pitch tracking algorithm [2]. The idea is to retain the speech segme...

A model of the mechanism of residue pitch perception is revisited. It is evaluated in the context of some new empirical results, and it is proposed that the model is able to reconcile a number of differing approaches in the history of theories of pitch perception. The model consists of four sequential processing stages: peripheral frequency selectivity, within-channel half-wave rectification an...

We present a system for robust pitch extraction in noisy and echoic environments consisting of a multi-channel signal enhancement, a pitch extraction algorithm inspired by the processing in the mammalian auditory system and a pitch tracking based on a Bayesian filter. For the multi-channel signal enhancement we deploy an 8 channel Geometric Source Separation (GSS). During pitch extraction we fi...

Multi-pitch estimation of co-channel speech is especially challenging when the underlying pitch tracks are close in pitch value (e.g., when pitch tracks cross). Building on our previous work in [1], we demonstrate the utility of a two-dimensional (2-D) analysis method of speech for this problem by exploiting its joint representation of pitch and pitch-derivative information from distinct speake...

In earlier work, we identi ed a 110 millisecond region of low pitch as a prosodic feature which seems to bear the dialog function of encouraging back-channel feedback from the listener. In this paper, we 1 examine the ways in which this prosodic feature co-occurs with semantic, pragmatic, and lexical events. Both subjective analysis and statistical analysis suggest that low-pitch regions are as...

For pitch tracking of a single speaker, a common requirement is to find the optimal path through a set of voiced or voiceless pitch estimates over a sequence of time frames. Dynamic programming (DP) algorithms have been applied before to this problem. Here, the pitch candidates are provided by a multi-channel autocorrelation-based estimator, and DP is extended to pitch tracking of multiple conc...