An automated emotional recognition system(100; 100a; 100b) for determining emotional states of a speaker based on the analysis of a speech signal, the emotional recognition system comprises: at least one server function (110;110a;110b); at least one client function (120;120a;120b) in communication with the at least one server function for receiving assistance in determining the emotional states of the speaker, herein the at least one client function includes an emotional features calculator adapted to receive the speech signal and to extract therefrom speech features indicative of the emotional state of the speaker, the emotional state recognition systemfurther includes at least one emotional state decider (235;705, 740) adapted to determine the emotional state of the speaker exploiting a set of emotional features based on a decision model (MODj;CMOD); characterized in that: said decision model to be used by the emotional state decider for determining the emotional state of the speaker is selectable among a plurality of predetermined decision models MODj trained for a specific user of the client function, the selection based on configuration data generated depending on a selected scenario among a plurality of scenarios available for said user, the emotional features calculator is further adapted to select a particular set of emotional features from the extracted speech features to be used by the emotional state decider and a precision of the features based on the configuration data; the emotional state decider is configured according to the configuration data to perform emotional recognition operations on the particular set of emotional features with the selected precision; the server function includes at least a decision model trainer adapted to update the selected decision model according to the particular set of emotional features, and said configuration data are provided by a scenario selector Mich is included in the client function and in that said configuration data are provided by said user of the client function through the scenario selector, and the client function includes a configuration transmitter adapted to transmit the configuration data to the server function. at least one server function (110;110a;110b); at least one client function (120;120a;120b) in communication with the at least one server function for receiving assistance in determining the emotional states of the speaker, herein the at least one client function includes an emotional features calculator adapted to receive the speech signal and to extract therefrom speech features indicative of the emotional state of the speaker, the emotional state recognition systemfurther includes at least one emotional state decider (235;705, 740) adapted to determine the emotional state of the speaker exploiting a set of emotional features based on a decision model (MODj;CMOD); characterized in that: said decision model to be used by the emotional state decider for determining the emotional state of the speaker is selectable among a plurality of predetermined decision models MODj trained for a specific user of the client function, the selection based on configuration data generated depending on a selected scenario among a plurality of scenarios available for said user, the emotional features calculator is further adapted to select a particular set of emotional features from the extracted speech features to be used by the emotional state decider and a precision of the features based on the configuration data; the emotional state decider is configured according to the configuration data to perform emotional recognition operations on the particular set of emotional features with the selected precision; the server function includes at least a decision model trainer adapted to update the selected decision model according to the particular set of emotional features, and said configuration data are provided by a scenario selector Mich is included in the client function and in that said configuration data are provided by said user of the client function through the scenario selector, and the client function includes a configuration transmitter adapted to transmit the configuration data to the server function. said decision model to be used by the emotional state decider for determining the emotional state of the speaker is selectable among a plurality of predetermined decision models MODj trained for a specific user of the client function, the selection based on configuration data generated depending on a selected scenario among a plurality of scenarios available for said user, the emotional features calculator is further adapted to select a particular set of emotional features from the extracted speech features to be used by the emotional state decider and a precision of the features based on the configuration data; the emotional state decider is configured according to the configuration data to perform emotional recognition operations on the particular set of emotional features with the selected precision; the server function includes at least a decision model trainer adapted to update the selected decision model according to the particular set of emotional features, and said configuration data are provided by a scenario selector Mich is included in the client function and in that said configuration data are provided by said user of the client function through the scenario selector, and the client function includes a configuration transmitter adapted to transmit the configuration data to the server function.