Elements of information theory
Elements of information theory
Speech Coding and Synthesis
Digital Speech; Coding for Low Bit Rate Communication Systems
Digital Speech; Coding for Low Bit Rate Communication Systems
Estimation of missing LSF parameters using Gaussian mixture models
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 200. on IEEE International Conference - Volume 02
Conditional Vector Quantization for Speech Coding
IEEE Transactions on Audio, Speech, and Language Processing
LSP-based multiple-description coding for real-time low bit-rate voice over IP
IEEE Transactions on Multimedia
Transform coding with backward adaptive updates
IEEE Transactions on Information Theory
A survey of packet loss recovery techniques for streaming audio
IEEE Network: The Magazine of Global Internetworking
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This paper presents a packet loss recovery method that uses an incomplete secondary encoding based on scalar quantization as redundancy. The method is redundancy bit rate scalable and allows an adaptation to varying loss scenarios and a varying packeting strategy. The recovery is performed by minimum mean squared error estimation incorporating a statistical model for the quantizers to facilitate real-time adaptation. A bit allocation algorithm is proposed that extends 'reverse water filling' to the problem of scalar encoding dependent variables for a decoder with a final estimation stage and available side information. We apply the method to the encoding of line-spectral frequencies (LSFs), which are commonly used in speech coding, illustrating the good performance of the method.