DocumentCode
334735
Title
Improved algorithms for phase prediction and frame interpolation in low bit rate sinusoidal coders
Author
Ahmadi, Sassan ; Spanias, Andreas S.
Author_Institution
Nokia Mobile Phones Inc., San Diego, CA, USA
Volume
1
fYear
1998
fDate
1-4 Nov. 1998
Firstpage
362
Abstract
A number of improved algorithms for phase prediction and frame interpolation in the context of sinusoidal speech coding are presented. A minimum variance sinusoidal phase estimation scheme is proposed, where it is shown that reasonably accurate estimates for short-time sinusoidal phases corresponding to voiced frames are obtained. On the other hand, improved algorithms for interpolation of sine wave parameters are presented which result in further reduction in bit rate while preserving the subjective quality of the reproduced speech at low bit rates. The performance of the above algorithms was evaluated on a large speech database and the results of statistical analysis are provided. The proposed algorithms were successfully integrated into a 2.4 kbps sinusoidal coder, where speech of good quality, intelligibility, and naturalness has been obtained.
Keywords
interpolation; phase estimation; spectral analysis; speech coding; speech intelligibility; 2.4 kbit/s; accurate estimates; bit rate reduction; frame interpolation; improved algorithms; large speech database; low bit rate sinusoidal coders; minimum variance sinusoidal phase estimation; naturalness; performance; phase prediction; reproduced speech; short-time sinusoidal phases; sine wave parameters; sinusoidal coder; sinusoidal speech coding; speech intelligibility; speech quality; statistical analysis; subjective quality; voiced frames; Bit rate; Databases; Interpolation; Mobile handsets; Phase estimation; Prediction algorithms; Quantization; Speech analysis; Speech synthesis; Statistical analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems & Computers, 1998. Conference Record of the Thirty-Second Asilomar Conference on
Conference_Location
Pacific Grove, CA, USA
ISSN
1058-6393
Print_ISBN
0-7803-5148-7
Type
conf
DOI
10.1109/ACSSC.1998.750887
Filename
750887
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