A low bit rate speech codec using mixed excitation linear prediction for private mobile radio

2004 ◽  
Vol 87 (6) ◽  
pp. 69-81
Author(s):  
Seishi Sasaki ◽  
Teruo Fumoto

2014 ◽  
Vol 989-994 ◽  
pp. 1951-1954 ◽  
Author(s):  
Ye Li ◽  
Yan Hong Fan ◽  
Fei Yuan ◽  
Xiao Mei Xu

Ultra-low-bit-rate speech coding algorithm was in great demand for many fields such as underwater speech communications. Underwater speech communication for middle-long distance has the characteristics of narrow bandwidth as well as low transmission rate, which makes the underwater speech communication much difficult. Ultra-low-bit-rate speech coding algorithm plays an important role on this occasion. More over, it will be more flexible for the underwater speech communication system if the speech coding algorithm has an embedded structure. The paper introduced the principle of an embedded speech coding algorithm with dual rates at both 300bps and 400bps based on the enhanced mixed excitation linear prediction model. The results show that this embedded ultra-low-bit-rate speech coding algorithm has satisfactory quality under both DRT and MOS test.



Author(s):  
Akinori Ito ◽  
Yôiti Suzuki

G.711 is the most popular speech codec for Voice over IP (VoIP). This chapter proposes a method for embedding data into G.711-coded speech for conveying side information for enhancing speech quality such as bandwidth extension or packet loss concealment. The proposed method refers to a low-bit rate encoder to determine how many bits are embedded into each sample. First, a variable-bit rate data hiding method is proposed as a basic framework of the proposed method. Then, the proposed method is extended to achieve fixed bit rate data hiding. According to comparison experiments, the proposed method is proved to achieve higher speech quality compared with the conventional method. Moreover, the authors developed a low-complexity speech bandwidth extension method that uses the proposed data hiding method.





2015 ◽  
Vol 9 (8) ◽  
pp. 747-754 ◽  
Author(s):  
Shanyu Tang ◽  
Qing Chen ◽  
Wei Zhang ◽  
Yongfeng Huang
Keyword(s):  
Bit Rate ◽  


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