Title :
Modeling and quantization of speech magnitude spectra at low data rates-evaluating design trade-offs
Author :
Smith, Aaron M. ; Ramabadran, Tenkasi V. ; Mclaughlin, Michael J.
Author_Institution :
Chicago Corp. Res. Lab., Motorola Inc., Schaumburg, IL, USA
Abstract :
Several designs for modeling and quantizing the discrete harmonic amplitudes in voiced speech spectra are investigated. A cumulative distortion measure is computed for each design. This measure is shown to provide useful insight for evaluating design trade-offs
Keywords :
amplitude estimation; channel capacity; rate distortion theory; spectral analysis; speech coding; speech processing; vector quantisation; VQ; amplitude estimation; cumulative distortion measure; design trade-offs evaluation; discrete harmonic amplitudes; low data rates; speech coding; speech magnitude spectra; speech modeling; speech quantization; voiced speech spectra; Amplitude estimation; Databases; Decoding; Distortion measurement; Frequency estimation; Frequency measurement; Quantization; Speech analysis; Speech coding; Speech synthesis;
Conference_Titel :
Speech Coding For Telecommunications Proceeding, 1997, 1997 IEEE Workshop on
Conference_Location :
Pocono Manor, PA
Print_ISBN :
0-7803-4073-6
DOI :
10.1109/SCFT.1997.623873
