Title :
Transform predictive coding of wideband speech signals
Author :
Chen, Juin-Hwey ; Wang, Dongmei
Author_Institution :
Dept. of Speech Coding Res., AT&T Bell Labs., Murray Hill, NJ, USA
Abstract :
This paper presents a novel wideband speech coding algorithm called transform predictive coding (TPC). The main emphasis is on low complexity. TPC uses short-term and long-term prediction to remove the redundancy in speech. The prediction residual is quantized in the frequency domain based on a calculated noise masking threshold. In its simplest form, the TPC coder uses only open-loop quantization and therefore has a low complexity. A 16 kb/s full-duplex, open-loop TPC coder takes only 22% of the CPU load on a 150 MHz SGI Indy workstation and about 34% on a 90 MHz Pentium PC. The speech quality of TPC is almost transparent at 32 kb/s, very good at 24 kb/s, and acceptable at 16 kb/s. In the second half of the paper, we report our recent progress in using closed-loop quantization techniques to improve TPC output speech quality
Keywords :
computational complexity; frequency-domain analysis; linear predictive coding; quantisation (signal); speech coding; transform coding; 150 MHz SGI Indy workstation; 16 kbit/s; 24 kbit/s; 32 kbit/s; 90 MHz Pentium PC; TPC coder; closed-loop quantization; frequency domain; long-term prediction; low complexity; noise masking threshold; open-loop quantization; prediction residual; short-term prediction; speech coding algorithm; speech quality; transform predictive coding; wideband speech signals; Application software; Linear predictive coding; Narrowband; Predictive coding; Quantization; Sampling methods; Speech coding; Speech processing; Wideband; Workstations;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-3192-3
DOI :
10.1109/ICASSP.1996.540411