Výsledky vyhledávání - "Sreenivas, Thippur V."

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Directional MCLP Analysis and Reconstruction for Spatial Speech Communication

Autor: Chetupalli, Srikanth Raj, Sreenivas, Thippur V.

Spatial speech communication, i.e., the reconstruction of spoken signal along with the relative speaker position in the enclosure (reverberation information) is considered in this paper. Directional, diffuse components and the source position informa

Externí odkaz: http://arxiv.org/abs/2109.04544

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Joint spatial filter and time-varying MCLP for dereverberation and interference suppression of a dynamic/static speech source

Autor: Chetupalli, Srikanth Raj, Sreenivas, Thippur V.

Dereverberation of a moving speech source in the presence of other directional interferers, is a harder problem than that of stationary source and interference cancellation. We explore joint multi channel linear prediction (MCLP) and relative transfe

Externí odkaz: http://arxiv.org/abs/1910.09782

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LSTM based AE-DNN constraint for better late reverb suppression in multi-channel LP formulation

Autor: Chetupalli, Srikanth Raj, Sreenivas, Thippur V.

Prediction of late reverberation component using multi-channel linear prediction (MCLP) in short-time Fourier transform (STFT) domain is an effective means to enhance reverberant speech. Traditionally, a speech power spectral density (PSD) weighted p

Externí odkaz: http://arxiv.org/abs/1812.01346

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Latent variable approach to diarization of audio recordings using ad-hoc randomly placed mobile devices

Autor: Chetupalli, Srikanth Raj, Bhowmick, Anirban, Sreenivas, Thippur V.

Diarization of audio recordings from ad-hoc mobile devices using spatial information is considered in this paper. A two-channel synchronous recording is assumed for each mobile device, which is used to compute directional statistics separately at eac

Externí odkaz: http://arxiv.org/abs/1810.13109

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Who Spoke What? A Latent Variable Framework for the Joint Decoding of Multiple Speakers and their Keywords

Autor: Sundar, Harshavardhan, Sreenivas, Thippur V.

In this paper, we present a latent variable (LV) framework to identify all the speakers and their keywords given a multi-speaker mixture signal. We introduce two separate LVs to denote active speakers and the keywords uttered. The dependency of a spo

Externí odkaz: http://arxiv.org/abs/1504.08021

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