Frequency domain linear prediction for QMF sub-bands and applications to audio coding
MLMI'07 Proceedings of the 4th international conference on Machine learning for multimodal interaction
Computing the discrete-time “analytic” signal via FFT
IEEE Transactions on Signal Processing
Autoregressive Modeling of Temporal Envelopes
IEEE Transactions on Signal Processing
Wide-band audio coding based on frequency-domain linear prediction
EURASIP Journal on Audio, Speech, and Music Processing - Special issue on scalable audio-content analysis
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Frequency Domain Linear Prediction (FDLP) represents a technique for auto-regressive modelling of Hilbert envelopes of a signal. In this paper, we propose a speech coding technique that uses FDLP in Quadrature Mirror Filter (QMF) sub-bands of short segments of the speech signal (25 ms). Line Spectral Frequency parameters related to autoregressive models and the spectral components of the residual signals are transmitted. For simulating the effects of lossy transmission channels, bit-packets are dropped randomly. In the objective and subjective quality evaluations, the proposed FDLP speech codec is judged to be more resilient to bit-packet losses compared to the state-of-the-art Adaptive Multi-Rate Wide-Band (AMR-WB) codec at 12 kbps.