A uniformly most powerful test for statistical model-based voice activity detection
نویسندگان
چکیده
This paper presents a new voice activity detection (VAD) method using the Gaussian distribution and a uniformly most powerful (UMP) test. The UMP test is employed to derive the new decision rule based on likelihood ratio test (LRT). This method requires the Rayleigh distribution for the magnitude of the noisy spectral component and the adaptive threshold estimated from the noise statistics. Experimental results show that the proposed VAD algorithm based on UMP test outperforms the conventional scheme.
منابع مشابه
Voice Activity Detection Using Laplacian Model and UMP Test
This paper presents a new voice activity detection (VAD) method using the Laplacian distribution and a uniformly most powerful (UMP) test. The UMP test is employed to derive the new decision rule based on likelihood ratio test (LRT). The proposed method provide the decision rule by comparing the sum of magnitude of real and imaginary parts of the noisy spectral component to the adaptive thresho...
متن کاملOPTIMAL STATISTICAL TESTS BASED ON FUZZY RANDOM VARIABLES
A novel approach is proposed for the problem of testing statistical hypotheses about the fuzzy mean of a fuzzy random variable.The concept of the (uniformly) most powerful test is extended to the (uniformly) most powerful fuzzy-valued test in which the test function is a fuzzy set representing the degrees of rejection and acceptance of the hypothesis of interest.For this purpose, the concepts o...
متن کاملA New Algorithm for Voice Activity Detection Based on Wavelet Packets (RESEARCH NOTE)
Speech constitutes much of the communicated information; most other perceived audio signals do not carry nearly as much information. Indeed, much of the non-speech signals maybe classified as ‘noise’ in human communication. The process of separating conversational speech and noise is termed voice activity detection (VAD). This paper describes a new approach to VAD which is based on the Wavelet ...
متن کاملTest of the Correlation Coefficient in Bivariate Normal Populations Using Ranked Set Sampling
Ranked Set Sampling (RSS) is a statistical method for data collection that leads to more efficient estimators than competitors based on Simple Random Sampling (SRS). We consider testing the correlation coefficient of bivariate normal distribution based on Bivariate RSS (BVRSS). Under one-sided and two-sided alternatives, we show that the new tests based on BVRSS are more powerful than the usua...
متن کاملTowards improving statistical model based voice activity detection
Statistical model based voice activity detection (VAD) is commonly used in various speech related research and applications. In this paper, we try to improve the performance of statistical model based VAD via new feature extraction method. Our main innovation focuses on that we apply Mel-frequency subband coefficients with power-law nonlinearity as feature for statistical model based VAD instea...
متن کامل