DocumentCode
2941580
Title
The successive mean quantization transform
Author
Nilsson, Mikael ; Dahl, Mattias ; Claesson, Ingvar
Author_Institution
Sch. of Eng., Blekinge Inst. of Technol., Ronneby, Sweden
Volume
4
fYear
2005
fDate
18-23 March 2005
Abstract
This paper presents the successive mean quantization transform (SMQT). The transform reveals the organization or structure of the data and removes properties such as gain and bias. The transform is described and applied in speech processing and image processing. The SMQT is considered as an extra processing step for the mel frequency cepstral coefficients commonly used in speech recognition. In image processing the transform is applied in automatic image enhancement and dynamic range compression.
Keywords
cepstral analysis; data compression; image coding; image enhancement; speech processing; speech recognition; SMQT; automatic image enhancement; dynamic range compression; image processing; mel frequency cepstral coefficients; speech processing; speech recognition; successive mean quantization transform; Data mining; Dynamic range; Hidden Markov models; Image coding; Image processing; Mel frequency cepstral coefficient; Pattern recognition; Quantization; Speech processing; Speech recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
ISSN
1520-6149
Print_ISBN
0-7803-8874-7
Type
conf
DOI
10.1109/ICASSP.2005.1416037
Filename
1416037
Link To Document