Code-excited linear predictive speech processing for digital transmission and storage
Armein Z. R. Langi, Witold Kinsner
Abstract
Armein Z. R. Langi, Witold Kinsner
Abstract
The authors present an implementation of code excited linear prediction (CELP) in the development of a high-quality speech processing system for digital speech transmission and storage. This system is designed for speech communication systems that utilize low-bit-rate channels or networks, such as packet radio channels. A speech compression scheme is necessary for real-time transmission on such channels. The CELP scheme is chosen for its ability to compress the speech data down to 4.8 kb/s while maintaining the quality of speech. The proposed US Federal Standard of CELP coding FS-1016 has been implemented to maintain the interoperability between the system and the other FS-1016 systems. This version of CELP also provides a forward error protection scheme that is suitable for real-time application. The system is implemented on a low-cost personal computer equipped with a digital signal processor module. The system can be connected to any channels or networks that use RS-2323C as the physical layer link and operate at rates of 4.8 kb/s and up.>
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The authors present an implementation of code excited linear prediction (CELP) in the development of a high-quality speech processing system for digital speech transmission and storage. This system is designed for speech communication systems that utilize low-bit-rate channels or networks, such as packet radio channels. A speech compression scheme is necessary for real-time transmission on such channels. The CELP scheme is chosen for its ability to compress the speech data down to 4.8 kb/s while maintaining the quality of speech. The proposed US Federal Standard of CELP coding FS-1016 has been implemented to maintain the interoperability between the system and the other FS-1016 systems. This version of CELP also provides a forward error protection scheme that is suitable for real-time application. The system is implemented on a low-cost personal computer equipped with a digital signal processor module. The system can be connected to any channels or networks that use RS-2323C as the physical layer link and operate at rates of 4.8 kb/s and up.>
Key concepts: Code-excited linear prediction, Computer science, Linear predictive coding, Speech coding, Voice activity detection, Linear prediction, Vector sum excited linear prediction, Speech recognition