Lineeta Gloria

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This paper insinuates a vocal training system that helps in proficient vocal training. There are two foremost objectives involved. The crucial objective is to estimate and detect pitch from a vocal. The secondary objective is to create an efficient vocal training system that perceives error in pitch. The purpose of this paper is to develop an adept vocal(More)
The objective of this paper is to evaluate the effectiveness of complementary speech features extracted from a speaker for verification. Traditionally, speaker verification systems use a single feature for representing speaker-specific information. In this work extraction of segmental and suprasegmental features is proposed which shows a significant(More)
This paper presents the parameterization of speech based on amplitude and frequency modulation (AM-FM) model and its application to speaker identification. Speech parameterization is based on three different bandwidths. The speaker identification is done using auto associative neural network. The AANN is trained with SOLO speaking style speech signal, and a(More)
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