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

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

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...

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

Aalborg Universitet Exploration of Long-Term Potentiation (LTP)-like Pain Amplification and Conditioned Pain Modulation (CPM) on Pain-LTP in Humans

Speech Emotion Recognition Using Scalogram Based Deep Structure

Speech Emotion Recognition (SER) is an important part of speech-based Human-Computer Interface (HCI) applications. Previous SER methods rely on the extraction of features and training an appropriate classifier. However, most of those features can be affected by emotionally irrelevant factors such as gender, speaking styles and environment. Here, an SER method has been proposed based on a concat...