Gaussian Mixture Model (GMM) with Fuzzy c-means attempts to classify signals into speech and music. Feature extraction is done before classification. The classification accuracy mainly relays on the strength of the feature extraction techniques. Simple audio features such as Time domain and Frequency domain are adopted. The time domain features are Zero Crossing Rate (ZCR) and Short Time Energy (STE). The frequency domain features are Spectra
A fuzzy clustering based modification of Gaussian mixture models (GMMs) for speaker recognition is p...
Abstract—In this letter, a novel approach is proposed to improve the performance of speech/music cla...
The tasks : discriminating music, speech and other sounds and language identification have a broad r...
This paper describes the work done on thedevelopment of an audio classification system. Audio record...
Abstract — The speech recognition is the most important research area to recognize the speech signal...
A practical problem in processing any audio stream is to detect different types of audio and to trea...
Today multimedia informatio has become an important component of our lives. Rapid increase in the am...
This paper provides an overview of Gaussian Mixture Model (GMM) and its component of speech signal. ...
In this paper,features for text-independent speaker recognition has been evaluated. Speaker identifi...
This paper investigates the task of SR (Speaker Recognition) for the state-of-the-art techniques. Th...
Automatic speaker recognition system identifies a person from the information contained in the speec...
Classifying an audio signal into either speech or music has been of continuous interest to researche...
The purpose it is to make the development of an algorithm that is able to extract the features of au...
omer La. tudent.unsw.edu.au 1 ambi,(a,unsw.edu.aU tacmaeJIbD C u ienesLdni Abstract- Speech and musi...
International audienceThis paper presents a general audio classification approach inspired by our mo...
A fuzzy clustering based modification of Gaussian mixture models (GMMs) for speaker recognition is p...
Abstract—In this letter, a novel approach is proposed to improve the performance of speech/music cla...
The tasks : discriminating music, speech and other sounds and language identification have a broad r...
This paper describes the work done on thedevelopment of an audio classification system. Audio record...
Abstract — The speech recognition is the most important research area to recognize the speech signal...
A practical problem in processing any audio stream is to detect different types of audio and to trea...
Today multimedia informatio has become an important component of our lives. Rapid increase in the am...
This paper provides an overview of Gaussian Mixture Model (GMM) and its component of speech signal. ...
In this paper,features for text-independent speaker recognition has been evaluated. Speaker identifi...
This paper investigates the task of SR (Speaker Recognition) for the state-of-the-art techniques. Th...
Automatic speaker recognition system identifies a person from the information contained in the speec...
Classifying an audio signal into either speech or music has been of continuous interest to researche...
The purpose it is to make the development of an algorithm that is able to extract the features of au...
omer La. tudent.unsw.edu.au 1 ambi,(a,unsw.edu.aU tacmaeJIbD C u ienesLdni Abstract- Speech and musi...
International audienceThis paper presents a general audio classification approach inspired by our mo...
A fuzzy clustering based modification of Gaussian mixture models (GMMs) for speaker recognition is p...
Abstract—In this letter, a novel approach is proposed to improve the performance of speech/music cla...
The tasks : discriminating music, speech and other sounds and language identification have a broad r...