Fundamentals, present and future perspectives of speech enhancement
Speech enhancement has substantial interest in the utilization of speaker identification,
video-conference, speech transmission through communication channels, speech-based …
video-conference, speech transmission through communication channels, speech-based …
[图书][B] Multi-pitch estimation
M Christensen, A Jakobsson - 2022 - books.google.com
Periodic signals can be decomposed into sets of sinusoids having frequencies that are
integer multiples of a fundamental frequency. The problem of finding such fundamental …
integer multiples of a fundamental frequency. The problem of finding such fundamental …
Sparse linear prediction and its applications to speech processing
D Giacobello, MG Christensen… - … on Audio, Speech …, 2012 - ieeexplore.ieee.org
The aim of this paper is to provide an overview of Sparse Linear Prediction, a set of speech
processing tools created by introducing sparsity constraints into the linear prediction …
processing tools created by introducing sparsity constraints into the linear prediction …
Retrieving sparse patterns using a compressed sensing framework: applications to speech coding based on sparse linear prediction
D Giacobello, MG Christensen… - IEEE Signal …, 2009 - ieeexplore.ieee.org
Encouraged by the promising application of compressed sensing in signal compression, we
investigate its formulation and application in the context of speech coding based on sparse …
investigate its formulation and application in the context of speech coding based on sparse …
On compressed sensing and its application to speech and audio signals
MG Christensen, J Østergaard… - 2009 conference record …, 2009 - ieeexplore.ieee.org
In this paper, we consider the application of compressed sensing (aka compressive
sampling) to speech and audio signals. We discuss the design considerations and issues …
sampling) to speech and audio signals. We discuss the design considerations and issues …
Fast algorithms for high-order sparse linear prediction with applications to speech processing
In speech processing applications, imposing sparsity constraints on high-order linear
prediction coefficients and prediction residuals has proven successful in overcoming some …
prediction coefficients and prediction residuals has proven successful in overcoming some …
Enhancing sparsity in linear prediction of speech by iteratively reweighted 1-norm minimization
D Giacobello, MG Christensen… - … , Speech and Signal …, 2010 - ieeexplore.ieee.org
Linear prediction of speech based on 1-norm minimization has already proved to be an
interesting alternative to 2-norm minimization. In particular, choosing the 1-norm as a convex …
interesting alternative to 2-norm minimization. In particular, choosing the 1-norm as a convex …
[PDF][PDF] DCT-compressive sampling of frequency-sparse audio signals
RG Moreno-Alvarado, M Martinez-Garcia - Proceedings of the world …, 2011 - iaeng.org
The discrete cosine transform (DCT) and the compressive sampling (CS) are two signal
processing techniques with many applications on a great number of engineering fields. In …
processing techniques with many applications on a great number of engineering fields. In …
Compressive sensing framework for speech signal synthesis using a hybrid dictionary
Y Wang, Z Xu, G Li, L Chang… - 2011 4th International …, 2011 - ieeexplore.ieee.org
Compressive sensing (CS) is a promising focus in signal processing field, which offers a
novel view of simultaneous compression and sampling. In this framework a sparse …
novel view of simultaneous compression and sampling. In this framework a sparse …
Speech spectrum modeling for joint estimation of spectral envelope and fundamental frequency
Although considerable effort has been devoted to both fundamental frequency (F 0) and
spectral envelope estimation in the field of speech processing, the problem of determining F …
spectral envelope estimation in the field of speech processing, the problem of determining F …