Speech Quality Improvement Based on List Viterbi and Joint Source-Channel Decoding in UMTS

• Published in: IEEE communications letters Vol. 17; no. 3; pp. 545 - 548
• Main Authors: Wei, Yuejun, Wu, Kedi, Xia, Bin, Yang, Yuhang
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01-03-2013; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: 3G mobile communication; Algorithms; AMR speech; Applied sciences; Coding, codes; Computer simulation; Decoders; Decoding; Equipments and installations; Exact sciences and technology; Information, signal and communications theory; Iterative decoding; joint source-channel decoding; Joints; List Viterbi decoding; Lists; mean opinion score; Mobile radiocommunication systems; Radiocommunications; Signal and communications theory; Signal processing; Signal to noise ratio; Speech; Speech codecs; Speech processing; Telecommunications; Telecommunications and information theory; Universal Mobile Telecommunications System; Viterbi algorithm; Mobile radiocommunication; Speech analysis; AMR speech; Wireless telecommunication; Sound quality; Joint source channel coding; List Viterbi decoding; Viterbi code; mean opinion score; Simulation; UMTS system; Viterbi decoding; joint source-channel decoding; Signal to noise ratio
• ISSN: 1089-7798; 1558-2558
• DOI: 10.1109/LCOMM.2013.012213.122322

In this letter, we propose a simple and efficient method, called `Dual-CRC', to improve speech quality based on the list Viterbi algorithm (LVA) in the Universal Mobile Telecommunications System (UMTS). We also employ the well-known joint source-channel decoding (JSCD) scheme together with LVA decoding to further improve the speech quality. Simulation results show that the two proposed decoders, the Dual-CRC LVA and the combination of the LVA and the JSCD, can significantly improve the speech quality for UMTS, especially in low signal-to-noise ratio and low mean opinion score regions.