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- W2552982566 abstract "A new approach for joint multichannel speech source separation is proposed in this paper. The technique starts by creating a database in the context of multiple simultaneous speakers in the reverberant overcomplete environment. Recordings are made in overcomplete environment where number of sources are greater than number of observations. The speech of independent speakers is recovered from the observations and the closeness of recovery is estimated. These observations are processed in such a way that the original source signals are extracted by the adaptive system. Independent component analysis (ICA) technique is used for multichannel speech source separation and noise reduction is done using Wiener filtering. Most of the contributions to source separation were done in undercomplete environment where the number of observations are greater than number of sources. The suggested framework is formulated in overcomplete environment as it uses as few basis functions as possible. In several real-world applications, background noise and multiple competing speakers coexist within the same reverberant enclosure. In teleconferencing applications, for example, multiple participants, loudspeakers and noise sources can be simultaneously active and the proposed framework is to separate each of the desired signals and to reduce the background noise. For identification of speakers pitch and Glottal Noise Excitation Ratio features are extracted. GMM modeling is done over extracted features to compute the maximum likelihood estimate using expectation maximization algorithm. The motivation behind using GMM lies in the fact that linear combination of gaussian variables can represent large range of acoustic classes. By the proposed technique, a remarkable recognition accuracy of 94.23% is achieved using GNE feature." @default.
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- W2552982566 date "2015-01-01" @default.
- W2552982566 modified "2023-09-26" @default.
- W2552982566 title "A New Framework for Multichannel Speech Source Separation and Speaker Recognition" @default.
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