Add to ORKGIn this paper we investigate the use of a self-organizing map in an acoustic segmentation task. The aim is to obtain a limited number of acoustic classes and to segment whenever a change in the class between two adjacent frames occurs. Energy in different frequency ranges is used as input in the map training process. A structure based on a Kohonen map connected to a neural network trained with the back-propagation algorithm is proposed.Peer Reviewe
© 2019 IEEE. Segmenting objects in images and separating sound sources in audio are challenging task...
We propose a two-stage hierarchical artificial neural network for the segmentation of color images b...
Abstract — This research uses a modified self-organized map to look for similarities and differences...
In this paper we investigate the use of a self-organizing map in an acoustic segmentation task. The ...
In recent years, a number of models of speech segmentation have been developed, including models bas...
In the past few years, there has been much noteworthy advancement in artificial neural networks. One...
This paper will deal with an algorithm for a twodimensional representation of the acoustic signal of...
Kohonen self-organizing neural networks, also called self-organizing maps (SOMs), have been used suc...
A timbre classification system based on auditory processing and Kohonen self organizing neural netwo...
The Self-Organizing Map (SOM) is widely applied for data clustering and visualization. In this paper...
A timbre classification system based on auditory processing and Kohonen self organizing neural netwo...
Unsupervised learning scheme like the self-organizing map (SOM) has been used to classify speech sou...
This paper describes a self-organizing artificial neural network, based on Kohonen's model of self-o...
This paper proposes a computational model for phoneme acquisition by infants. Infants perceive speec...
Abstract- Some well known theoretical results concerning the universal approximation property of MLP...
© 2019 IEEE. Segmenting objects in images and separating sound sources in audio are challenging task...
We propose a two-stage hierarchical artificial neural network for the segmentation of color images b...
Abstract — This research uses a modified self-organized map to look for similarities and differences...
In this paper we investigate the use of a self-organizing map in an acoustic segmentation task. The ...
In recent years, a number of models of speech segmentation have been developed, including models bas...
In the past few years, there has been much noteworthy advancement in artificial neural networks. One...
This paper will deal with an algorithm for a twodimensional representation of the acoustic signal of...
Kohonen self-organizing neural networks, also called self-organizing maps (SOMs), have been used suc...
A timbre classification system based on auditory processing and Kohonen self organizing neural netwo...
The Self-Organizing Map (SOM) is widely applied for data clustering and visualization. In this paper...
A timbre classification system based on auditory processing and Kohonen self organizing neural netwo...
Unsupervised learning scheme like the self-organizing map (SOM) has been used to classify speech sou...
This paper describes a self-organizing artificial neural network, based on Kohonen's model of self-o...
This paper proposes a computational model for phoneme acquisition by infants. Infants perceive speec...
Abstract- Some well known theoretical results concerning the universal approximation property of MLP...
© 2019 IEEE. Segmenting objects in images and separating sound sources in audio are challenging task...
We propose a two-stage hierarchical artificial neural network for the segmentation of color images b...
Abstract — This research uses a modified self-organized map to look for similarities and differences...