Joint Estimation of Short-Term and Long-Term Predictors in Speech Coders Giacobello,

Aalborg Universitet Joint Estimation of Short-Term and Long-Term Predictors in Speech Coders

In low bit-rate coders, the near-sample and far-sample redundancies of the speech signal are usually removed by a cascade of a shortterm and a long-term linear predictor. These two predictors are usually found in a sequential and therefore suboptimal approach. In this paper we propose an analysis model that jointly finds the two predictors by adding a regularization term in the minimization pro...

Sparse linear predictors for speech processing

This paper presents two new classes of linear prediction schemes. The first one is based on the concept of creating a sparse residual rather than a minimum variance one, which will allow a more efficient quantization; we will show that this works well in presence of voiced speech, where the excitation can be represented by an impulse train, and creates a sparser residual in the case of unvoiced...

Sparsity in Linear Predictive Coding of Speech

This thesis deals with developing improved techniques for speech coding based on the recent developments in sparse signal representation. In particular, this work is motivated by the need to address some of the limitations of the wellknown linear prediction (LP) model currently applied in many modern speech coders. In the first part of the thesis, we provide an overview of Sparse Linear Predict...

Joint optimization of short-term and long-term predictors in CELP speech coders

The objective of this work is to investigate whether joint optimization of short-term and long-term predictors manifests significant advantages over the sequential optimization in speech coding. We propose a new joint optimization method based on Wiener filtering. The proposed analysis model resolves the pitch-bias problem of classical LPC analysis by considering the contribution of the long-te...

Short-term and Long-term Impact of Video-driven Metapragmatic Awareness Raising on Speech Act Production: A Case of Iranian Interme-diate EFL Learners