In this work, the modified group delay feature (MODGDF) is proposed for pitched musical instrument recognition. Conventionally, the spectrum-related features used in instrument recognition take into account merely the magnitude information, whereas the phase is often overlooked due to the complications related to its interpretation. However, there is often additional information concealed in th...

In the development of a syllable-centric Automatic Speech Recognition (ASR) system, segmentation of the acoustic signal into syllabic units is an important stage. Although the short-term energy (STE) function contains useful information about syllable segment boundaries, it has to be processed before segment boundaries can be extracted. This paper presents a sub-band based group delay approach ...

In this paper, we present an algorithm for Voice Activity Detection (VAD) in speech signals using the minimum phase group delay function. The proposed method considers a buffer consisting of contiguous frames of the given signal and computes the short-term energy (STE) for that buffer. By appending a surrogate signal to STE and viewing the resultant signal as a positive part of the magnitude sp...

In this contribution, we extend the reassignment method (RM) and synchrosqueezing transform (SST) to arbitrary time-frequency localized lters and, in the rst case, arbitrary downsampling factors. A su cient condition for the invertibility of the SST is provided. RM and SST are techniques for deconvolution of shorttime Fourier and wavelet representations. In both methods, the partial phase deriv...

This paper demonstrates the robustness of group delay based features to additive noise. First, we analytically show the robustness of group delay based representations. The analysis makes use of the fact that, for minimum-phase signals, the group delay function can be represented in terms of the cepstral coefficients of the log-magnitude spectrum. Such a representation results in the speech spe...

In this paper, a new method for extracting the system phase from the bispectrum of the system output has been proposed. This is based on the complete bispectral data computed in the frequency domain and modified group delay. The frequency domain bispectrum computation improves the frequency resolution and the modified group delay reduces the variance preserving the frequency resolution. The use...

The direct design of a linear phase R R one allows perfectly linear phase, but at the expense of the high filter order, N, and consecuently high computational burden for the given specification. IIR filters, however, can be designed with much smaller orders than their R R couterparts, but at the expense of the non-linear phase. It is, however, possible to design almost linearphase IIR filters f...

A fiber-optic strain measurement technique based on data dependent system (DDS) in Mach-Zehnderfiber interferometer is presented. The interferogram recorded from the interferometer has been digitized and characterized by means of an autoregressive model. The phase change due to the measurand has been obtained from the self-coherence function of the interferogram. It would provide the phase dist...

The linear-phase IIR filters are described in many cases, mainly due to distortion-free transmission of signals. One of the major problems of IIR filter design is stability, which can be obtained with suitable value of group delay τ . This paper concerns calculation of filter order N and group delay τ in case of quasi-equiripple design of IIR filters. We propose a novel procedure for determinin...

|We propose methods to track natural variations in the characteristics of the vocal-tract system from speech signals. We are especially interested in the cases where these characteristics vary over time, as happens in dynamic sounds such as consonant-vowel transitions. We show that the selection of appropriate analysis segments is crucial in these methods and we propose a selection based on est...