1. A method for automatically customizing output synthesis in a text-to-speech system, the method comprising: creating one or more speech samples using an input voice of a human, the speech samples resulting from the human uttering a first text; analyzing said speech samples to extract a separate set of sound parameter values associated with personal speech characteristics of said input voice for each of first and second speech patterns, wherein the first and second speech patterns represent different manners of speaking in a same language, and wherein the sound parameter values relate to at least one quality selected from the group consisting of pitch, breathiness, tone, speed, volume, pitch variation, breathiness variation, tone variation, speed variation and volume variation; determining a separate set of output synthesis parameter values for each of the first and second speech patterns based, at least in part, on the respective separate set of sound parameter values of said input voice; storing each separate set of output synthesis parameter values as a separate speech profile element for the human; analyzing at least a portion of at least one second text, the at least one second text being unrelated to the first text, to select, from among the separate speech profile elements of the first and second speech patterns, a selected separate speech profile element based on how well the selected separate speech profile element corresponds to the at least a portion of the at least one second text; and applying the separate set of output synthesis parameter values of the selected separate speech profile element to synthesize the at least a portion of the at least one second text via the text-to-speech system to speech that includes at least some of the personal speech characteristics of the input voice.
1. A method for automatically customizing output synthesis in a text-to-speech system, the method comprising: creating one or more speech samples using an input voice of a human, the speech samples resulting from the human uttering a first text; analyzing said speech samples to extract a separate set of sound parameter values associated with personal speech characteristics of said input voice for each of first and second speech patterns, wherein the first and second speech patterns represent different manners of speaking in a same language, and wherein the sound parameter values relate to at least one quality selected from the group consisting of pitch, breathiness, tone, speed, volume, pitch variation, breathiness variation, tone variation, speed variation and volume variation; determining a separate set of output synthesis parameter values for each of the first and second speech patterns based, at least in part, on the respective separate set of sound parameter values of said input voice; storing each separate set of output synthesis parameter values as a separate speech profile element for the human; analyzing at least a portion of at least one second text, the at least one second text being unrelated to the first text, to select, from among the separate speech profile elements of the first and second speech patterns, a selected separate speech profile element based on how well the selected separate speech profile element corresponds to the at least a portion of the at least one second text; and applying the separate set of output synthesis parameter values of the selected separate speech profile element to synthesize the at least a portion of the at least one second text via the text-to-speech system to speech that includes at least some of the personal speech characteristics of the input voice. 2. The method of claim 1 , wherein the creating the one or more speech samples using the input voice includes eliciting a plurality of speech patterns of said input voice, and wherein the analyzing said speech samples includes associating sound parameters with speech patterns of the plurality of speech patterns of said input voice.