Principles of Speech Coding

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It is becoming increasingly apparent that all forms of communication—including voice—will be transmitted through packet-switched networks based on the Internet Protocol (IP). Therefore, the design of modern devices that rely on speech interfaces, such as cell phones and PDAs, requires a complete and up-to-date understanding of the basics of speech coding.

Outlines key signal processing algorithms used to mitigate impairments to speech quality in VoIP networks

Offering a detailed yet easily accessible introduction to the field, Principles of Speech Coding provides an in-depth examination of the underlying signal processing techniques used in speech coding. The authors present coding standards from various organizations, including the International Telecommunication Union (ITU). With a focus on applications such as Voice-over-IP telephony, this comprehensive text covers recent research findings on topics including:

  • A general introduction to speech processing
  • Digital signal processing concepts
  • Sampling theory and related topics
  • Principles of pulse code modulation (PCM) and adaptive differential pulse code modulation (ADPCM) standards
  • Linear prediction (LP) and use of the linear predictive coding (LPC) model
  • Vector quantization and its applications in speech coding
  • Case studies of practical speech coders from ITU and others
  • The Internet low-bit-rate coder (ILBC)

Developed from the authors’ combined teachings, this book also illustrates its contents by providing a real-time implementation of a speech coder on a digital signal processing chip. With its balance of theory and practical coverage, it is ideal for senior-level undergraduate and graduate students in electrical and computer engineering. It is also suitable for engineers and researchers designing or using speech coding systems in their work.

Author(s): Tokunbo Ogunfunmi, Madihally Narasimha
Edition: 0
Publisher: CRC Press
Year: 2010

Language: English
Pages: 381
Tags: Информатика и вычислительная техника;Обработка медиа-данных;Обработка звука;Обработка речи;