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In this paper, a novel multitaper modified group delay function-basedrepresentation for speech signals is proposed. With a set of phoneme-basedexperiments, it is shown that the proposed method performs better that anexisting multitaper magnitude (MT-MAG) estimation technique, in terms ofvariance and MSE, both in spectral- and cepstral-domains. In particular, theperformance of MT-MOGDF is found to be the best with the Thomson tapers.Additionally, the utility of the MT-MOGDF technique is highlighted in a speakerrecognition experimental setup, where an improvement of around $20\%$ comparedto the next-best technique is obtained. Moreover, the computationalrequirements of the proposed technique is comparable to that of MT-MAG. Theproposed feature can be used in for many speech-related applications; inparticular, it is best suited among those that require information of speakerand speech.

On a Novel Speech Representation Using Multitapered Modified Group Delay Function