Speech Recognition Using MATLAB and Cross-Correlation Technique

Speech Recognition Using Som and Actuation via Network in Matlab

This paper proposes a method of Speech recognition using Self Organizing Maps (SOM) and actuation through network in Matlab. The different words spoken by the user at client end are captured and filtered using Least Mean Square (LMS) algorithm to remove the acoustic noise. FFT is taken for the filtered voice signal. The voice spectrum is recognized using trained SOM and appropriate label is sen...

Design of an Automatic Speech Recognition System Using Matlab

A Gaussian Mixture Model Based Speech Recognition System Using Matlab

This paper aims at development and performance analysis of a speaker dependent speech recognition system using MATLAB®. The issues that were considered are 1) Can Matlab, be effectively used to complete the aforementioned task, 2) Accuracy of the Gaussian Mixture Model used for parametric modelling, 3) Performance analysis of the system, 4) Performance of the Gaussian Mixture Model as a paramet...

Using spatial correlation information in speech recognition

Acoustic model training is very important in speech recognition. But in traditional training algorithm, we take each state separately, and the relationship between different states is not considered. In this paper we bring forward a novel idea of using the correlation information between states, which is called “spatial correlation”. We describe this correlation information as linear constraint...

Speech Emotion Recognition Using Iterative Clustering Technique

This paper proposes a method to recognize the emotion present in the speech signal using Iterative clustering technique. We propose Mel Frequency Perceptual Linear Predictive Cepstrum (MFPLPC) as a feature for recognizing the emotions. This feature is extracted from the speech and the clustering models are generated for each emotion. For the Speaker Independent classification technique, preproc...