11. A method for providing quality management related to an accent of a call responder handling a call in a contact center, comprising: creating one or more statistical accent models from one or more training speech data, each statistical accent model associated with an accent, based on accent related details from collections of speech instances that are further normalized relative to differences therebetween for accent conformity, and with a model accent score representing the conformity of the statistical accent model to the associated accent; recording by a recording system a speech sample of a call responder having a call responder accent; inputting the speech sample for analysis; preparing a statistical speech model representing the speech sample of the call responder; comparing the statistical speech model with said statistical accent models; determining a closest statistical accent model to said statistical speech model; assigning an accent score for the statistical speech model, the accent score corresponding to the model accent score of the closest statistical accent model; automatically amending in the speech sample by replacement waveforms, sections determined as having known errors, whereby the amended speech sample replaces the speech sample to conform to the closest accent model; and providing during the call conducted by the call responder an immediate visual feedback indicating the level of deviation of the agent from the required accent.
11. A method for providing quality management related to an accent of a call responder handling a call in a contact center, comprising: creating one or more statistical accent models from one or more training speech data, each statistical accent model associated with an accent, based on accent related details from collections of speech instances that are further normalized relative to differences therebetween for accent conformity, and with a model accent score representing the conformity of the statistical accent model to the associated accent; recording by a recording system a speech sample of a call responder having a call responder accent; inputting the speech sample for analysis; preparing a statistical speech model representing the speech sample of the call responder; comparing the statistical speech model with said statistical accent models; determining a closest statistical accent model to said statistical speech model; assigning an accent score for the statistical speech model, the accent score corresponding to the model accent score of the closest statistical accent model; automatically amending in the speech sample by replacement waveforms, sections determined as having known errors, whereby the amended speech sample replaces the speech sample to conform to the closest accent model; and providing during the call conducted by the call responder an immediate visual feedback indicating the level of deviation of the agent from the required accent. 17. A method according to claim 11 , wherein said one or more statistical accent models are updated based on speech signals from groups of substantially equally scoring users.