Chapter 4 Speech Coding

نویسندگان

  • S. Katagiri
  • S. Sridharan
  • J. Leis
  • K. K. Paliwal
چکیده

S. Sridharan Speech Research Laboratory Queensland University of Technology 2 George Street, Brisbane, Queensland, 4001, Australia Email: [email protected] J. Leis Faculty of Engineering University of Southern Queensland Darling Heights, Queensland, 4350, Australia Email: [email protected] K. K. Paliwal School of Microelectronic Engineering Griffith University Brisbane, Queensland, 4111, Australia Email: [email protected]

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Speech-coding and Training-induced Plasticity in Auditory Cortex of Normal and Dyslexia Model Rats

.................................................................................................................................ix LIST OF FIGURES..........................................................................................xiii LIST OF TABLES...........................................................................................xvi CHAPTER 1: Introduction .........................

متن کامل

Challenges in Speech Coding Research

Speech and audio coding underlie many of the products and services that we have come to rely on and enjoy today. In this chapter, we discuss speech and audio coding, including a concise background summary, key coding methods, and the latest standards, with an eye toward current limitations and possible future research directions.

متن کامل

Wideband Audio

This chapter covers key technologies in wideband audio coding including auditory masking, perceptual coding, frequency domain coding, and dynamic bit allocation. The MPEG standardization work is then described. MPEG algorithms have found a wide range of communications-based and storage-based applications. For example, European digital audio broadcast (DAB) makes use of MPEG-1. It will then be s...

متن کامل

Speech Recognition over Mobile Networks

This chapter addresses issues associated with automatic speech recognition (ASR) over mobile networks, and introduces several techniques for improving speech recognition performance. One of these issues is the performance degradation of ASR over mobile networks that results from distortions produced by speech coding algorithms employed in mobile communication systems, transmission errors occurr...

متن کامل

Error Recovery- Channel Coding and Packetization

Distributed Speech Recognition (DSR) systems rely on efficient transmission of speech information from distributed clients to a centralized server. Wireless or network communication channels within DSR systems are typically noisy and bursty. Thus, DSR systems must utilize efficient Error Recovery (ER) schemes during transmission of speech information. Some ER strategies, referred to as forward ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1999