Low-complexity source coding using Gaussian mixture models, lattice vector quantization, and recursive coding with application to speech spectrum quantization

IEEE Transactions on Audio, Speech and Language Processing

Volumn 14, Issue 2, 2006, Pages 524-532

  Subramaniam, Anand D ^b   Gardner, William R ^b   Rao, Bhaskar D ^a,b  

^a IEEE   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Gaussian mixture models; Lattice vector quantization; Memoryless coders; Multidimensional companding; Recursive coding; Speech spectrum quantization; Vector quantization; Wide band speech

Indexed keywords

GAUSSIAN MIXTURE MODELS; LATTICE VECTOR QUANTIZATION; MEMORYLESS CODERS; MULTIDIMENSIONAL COMPANDING; RECURSIVE CODING; SPEECH SPECTRUM QUANTIZATION; WIDE-BAND SPEECH;

BIT ERROR RATE; COMPUTATIONAL COMPLEXITY; MATHEMATICAL MODELS; VECTOR QUANTIZATION; VECTORS;

SPEECH CODING;

EID: 33947177040     PISSN: 15587916     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSA.2005.855839     Document Type: Article

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