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Robust audio and speech coding for mobile and IP network applications

Hongfei Ma, Xiaofeng Hao, Li Qian, Shaopeng Song

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Abstract

Robust audio and wideband speech communication over unreliable channels of mobile and IP based networks is one of the key research areas in the development of multimedia communications. In this paper, a new perceptual coding scheme for both audio and wideband speech utilizing multiple descriptions coding technology is introduced. Tests and evaluations have shown that the designed audio and wideband speech coding algorithm is able to transmit high quality audio and wideband speech not only in ideal noiseless channels, but in packet loss prone channel as well, even the packet loss rate of transmission is higher than 30%.

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What this paper is about

Robust audio and wideband speech communication over unreliable channels of mobile and IP based networks is one of the key research areas in the development of multimedia communications. In this paper, a new perceptual coding scheme for both audio and wideband speech utilizing multiple descriptions coding technology is introduced. Tests and evaluations have shown that the designed audio and wideband speech coding algorithm is able to transmit high quality audio and wideband speech not only in ideal noiseless channels, but in packet loss prone channel as well, even the packet loss rate of transmission is higher than 30%.

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Available abstract

Robust audio and wideband speech communication over unreliable channels of mobile and IP based networks is one of the key research areas in the development of multimedia communications. In this paper, a new perceptual coding scheme for both audio and wideband speech utilizing multiple descriptions coding technology is introduced. Tests and evaluations have shown that the designed audio and wideband speech coding algorithm is able to transmit high quality audio and wideband speech not only in ideal noiseless channels, but in packet loss prone channel as well, even the packet loss rate of transmission is higher than 30%.

Key concepts: Wideband audio, Computer science, Speech coding, Audio over Ethernet, Wideband, Voice activity detection, Speech recognition, Adaptive Multi-Rate audio codec

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