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Scalable and Multi-Rate Speech Coding for Voice-over-Internet Protocol (VoIP) Networks

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Speech and Audio Processing for Coding, Enhancement and Recognition

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Abstract

Communication by speech is still a very popular and effective means of transmitting information from one person to another. Speech signals form the basic method of human communication. The information communicated in this case is verbal or auditory information. The methods used for speech coding are very extensive and continuously evolving.

Speech Coding can be defined as the means by which the information-bearing speech signal is coded to remove redundancy thereby reducing transmission bandwidth requirements, improving storage efficiency, and making possible myriad other applications that rely on speech coding techniques.

The medium of speech transmission has also been changing over the years. Currently a large percentage of speech is communicated over channels using internet protocols. The voice-over-internet protocols (VoIP) channels present some challenges that have to be overcome in order to enable error-free, robust speech communication.

There are several advantages to use bit-streams that are multi-rate and scalable for time-varying VoIP channels. In this chapter, we present the methods for scalable, multi-rate speech coding for VoIP channels.

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Authors and Affiliations

  1. Department of Electrical Engineering, Santa Clara University, Santa Clara, CA, 95053, USA

    Tokunbo Ogunfunmi & Koji Seto

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  1. Tokunbo Ogunfunmi
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  2. Koji Seto
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Correspondence to Tokunbo Ogunfunmi .

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Editors and Affiliations

  1. Dept. of Electrical Engineering, Santa Clara University, Santa Clara, California, USA

    Tokunbo Ogunfunmi

  2. School of EE&C Engineering, The University of Western Australia, Crawley, West Australia, Australia

    Roberto Togneri

  3. Qualcomm Inc., Santa Clara, California, USA

    Madihally (Sim) Narasimha

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Ogunfunmi, T., Seto, K. (2015). Scalable and Multi-Rate Speech Coding for Voice-over-Internet Protocol (VoIP) Networks. In: Ogunfunmi, T., Togneri, R., Narasimha, M. (eds) Speech and Audio Processing for Coding, Enhancement and Recognition. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-1456-2_3

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  • DOI: https://doi.org/10.1007/978-1-4939-1456-2_3

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