The Experts below are selected from a list of 9 Experts worldwide ranked by ideXlab platform
Philippe Gournay - One of the best experts on this subject based on the ideXlab platform.
-
EUROSPEECH - Study of the influence of noise pre-processing on the performance of a low Bit Rate parametric speech coder.
1999Co-Authors: Gwenael Guilmin, Régine Le Bouquin-jeannès, Philippe GournayAbstract:This paper describes a prospective study of the contribution of a single-sensor noise pre-processing method, prior to coding, to the performance of a parametric low Bit Rate speech coder in adverse conditions. The 2.4kBits/s vocoder we use estimates four Parameters: fundamental frequency, voicing, linear prediction coefficients and energy. Firstly, we study the influence of different noise levels on the estimated Parameters with and without noise reduction system. Secondly, we measure the contribution of (i) each speech coder Parameter and (ii) the speech enhancement system to the global output intelligibility. Finally, results show the interest of such a speech enhancement system for low Bit Rate Parameter estimation and underline the interest to adapt different pre-processing techniques for each Parameter estimation.
Zhang Min - One of the best experts on this subject based on the ideXlab platform.
-
Voice code technology of GSM system
Journal of Changsha Telecommunications and Technology Vocational College, 2004Co-Authors: Zhang MinAbstract:According to the current situation of the GSM system, this paper analyzes the kinds of voice code technology which are commonly used now and expounds the low Bit Rate Parameter code technology in the GSM mobile phone system.
Gwenael Guilmin - One of the best experts on this subject based on the ideXlab platform.
-
EUROSPEECH - Study of the influence of noise pre-processing on the performance of a low Bit Rate parametric speech coder.
1999Co-Authors: Gwenael Guilmin, Régine Le Bouquin-jeannès, Philippe GournayAbstract:This paper describes a prospective study of the contribution of a single-sensor noise pre-processing method, prior to coding, to the performance of a parametric low Bit Rate speech coder in adverse conditions. The 2.4kBits/s vocoder we use estimates four Parameters: fundamental frequency, voicing, linear prediction coefficients and energy. Firstly, we study the influence of different noise levels on the estimated Parameters with and without noise reduction system. Secondly, we measure the contribution of (i) each speech coder Parameter and (ii) the speech enhancement system to the global output intelligibility. Finally, results show the interest of such a speech enhancement system for low Bit Rate Parameter estimation and underline the interest to adapt different pre-processing techniques for each Parameter estimation.
Régine Le Bouquin-jeannès - One of the best experts on this subject based on the ideXlab platform.
-
EUROSPEECH - Study of the influence of noise pre-processing on the performance of a low Bit Rate parametric speech coder.
1999Co-Authors: Gwenael Guilmin, Régine Le Bouquin-jeannès, Philippe GournayAbstract:This paper describes a prospective study of the contribution of a single-sensor noise pre-processing method, prior to coding, to the performance of a parametric low Bit Rate speech coder in adverse conditions. The 2.4kBits/s vocoder we use estimates four Parameters: fundamental frequency, voicing, linear prediction coefficients and energy. Firstly, we study the influence of different noise levels on the estimated Parameters with and without noise reduction system. Secondly, we measure the contribution of (i) each speech coder Parameter and (ii) the speech enhancement system to the global output intelligibility. Finally, results show the interest of such a speech enhancement system for low Bit Rate Parameter estimation and underline the interest to adapt different pre-processing techniques for each Parameter estimation.
You Hong - One of the best experts on this subject based on the ideXlab platform.
-
Modified Frequency Domain Pitch Detection Algorithm
Journal of Shanghai Jiaotong University, 2001Co-Authors: You HongAbstract:AccuRate pitch detection is an important part in low Bit Rate Parameter speech coding. McAulay et al proposed a computationally demanding method for pitch estimation based on a sinusoidal speech model that is subjective to formant. This paper presented a modified algorithm that improves the original approach in complexity reduction, increases the accuracy of pitch detection and minimizes the interference to pitch detection. The informal experiments show that the computation of the algorithm is reduced by a factor of 13%.