Search Results - "Subramaniam, A.D."
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PDF optimized parametric vector quantization of speech line spectral frequencies
Published in IEEE transactions on speech and audio processing (01-03-2003)“…A computationally efficient, high quality, vector quantization scheme based on a parametric probability density function (PDF) is proposed. In this scheme, the…”
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Journal Article -
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Low-Complexity Source Coding Using Gaussian Mixture Models, Lattice Vector Quantization, and Recursive Coding with Application to Speech Spectrum Quantization
Published in IEEE transactions on audio, speech, and language processing (01-03-2006)“…In this paper, we use the Gaussian mixture model (GMM) based multidimensional companding quantization framework to develop two important quantization schemes…”
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Journal Article -
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Iterative joint source-channel decoding of speech spectrum parameters over an additive white Gaussian noise channel
Published in IEEE transactions on audio, speech, and language processing (01-01-2006)“…In this paper, we show how the Gaussian mixture modeling framework used to develop efficient source encoding schemes can be further exploited to model source…”
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Journal Article -
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Joint source-channel decoding of speech spectrum parameters over erasure channels using Gaussian mixture models
Published in 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03) (2003)“…A joint source-channel decoding scheme that improves the performance of conventional channel decoders over erasure channels by exploiting the cross-correlation…”
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Conference Proceeding
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5
Speech LSF quantization with rate independent complexity, bit scalability and learning
Published in 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221) (2001)“…A computationally efficient, high quality, vector quantization scheme based on a parametric probability density function (PDF) is proposed. In this scheme,…”
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Conference Proceeding -
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Improved quantization structures using generalized HMM modelling with application to wideband speech coding
Published in 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing (2004)“…In this paper, a low-complexity, high-quality recursive vector quantizer based on a generalized hidden Markov model of the source is presented. Capitalizing on…”
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Conference Proceeding -
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PDF optimized parametric vector quantization with application to speech coding
Published in Conference Record of the Thirty-Fourth Asilomar Conference on Signals, Systems and Computers (Cat. No.00CH37154) (2000)“…A computationally efficient, high quality vector quantization scheme based on a parametric probability density function (PDF) is proposed. In this scheme, the…”
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Conference Proceeding -
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PDF optimized parametric vector quantization of speech line spectral frequencies
Published in 2000 IEEE Workshop on Speech Coding. Proceedings. Meeting the Challenges of the New Millennium (Cat. No.00EX421) (2000)“…A computationally efficient, high quality, vector quantization scheme based on a parametric probability density function (PDF) is developed for encoding speech…”
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Conference Proceeding -
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Speech spectrum quantization using Gaussian mixture models and multi-dimensional companding
Published in Speech Coding, 2002, IEEE Workshop Proceedings (2002)“…A low complexity, high quality, quantization scheme using Gaussian mixture models and multi-dimensional companding is presented for speech spectrum…”
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Conference Proceeding -
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Joint source-channel decoding of speech spectrum parameters over an AWGN channel using Gaussian mixture models
Published in 2004 IEEE International Conference on Communications (IEEE Cat. No.04CH37577) (2004)“…We show how the Gaussian mixture modelling framework used to develop efficient source encoding schemes can be further exploited to model source statistics…”
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Conference Proceeding