1. A method for automatically providing a hypothesis of a linguistic formulation that is uttered by a user, the method comprising: automatically providing a hypothesis of a linguistic formulation that is uttered by a user of an automatic voice service based on an automatic speech recognition system that is outside a recognition domain of said automatic speech recognition system by: providing a constrained speech recognition and an unconstrained speech recognition of a portion of a first input speech signal that is outside a recognition domain of said automatic speech recognition system, the constrained speech recognition includes constrained phonemes based on a sequence of time segments and the unconstrained speech recognition includes unconstrained phonemes based on the sequence of time segments; identifying and temporally segmenting a given constrained phoneme of said constrained speech recognition corresponding to a time segment of the given constrained phoneme in order to determine whether the given constrained phoneme is outside said recognition domain, including: computing confidence measures for the constrained phonemes of said constrained speech recognition, wherein the confidence measures include a discrete time quanta, and identifying said given constrained phoneme of said constrained speech recognition outside said recognition domain based on said confidence measures; identifying and temporally segmenting a given unconstrained phoneme of said unconstrained speech recognition corresponding to a time segment of the given unconstrained phoneme, the time segment of the given unconstrained phoneme being substantially the same as the time segment of the given constrained phoneme; and providing said linguistic formulation hypothesis based on said identified unconstrained phoneme of said unconstrained speech recognition.
1. A method for automatically providing a hypothesis of a linguistic formulation that is uttered by a user, the method comprising: automatically providing a hypothesis of a linguistic formulation that is uttered by a user of an automatic voice service based on an automatic speech recognition system that is outside a recognition domain of said automatic speech recognition system by: providing a constrained speech recognition and an unconstrained speech recognition of a portion of a first input speech signal that is outside a recognition domain of said automatic speech recognition system, the constrained speech recognition includes constrained phonemes based on a sequence of time segments and the unconstrained speech recognition includes unconstrained phonemes based on the sequence of time segments; identifying and temporally segmenting a given constrained phoneme of said constrained speech recognition corresponding to a time segment of the given constrained phoneme in order to determine whether the given constrained phoneme is outside said recognition domain, including: computing confidence measures for the constrained phonemes of said constrained speech recognition, wherein the confidence measures include a discrete time quanta, and identifying said given constrained phoneme of said constrained speech recognition outside said recognition domain based on said confidence measures; identifying and temporally segmenting a given unconstrained phoneme of said unconstrained speech recognition corresponding to a time segment of the given unconstrained phoneme, the time segment of the given unconstrained phoneme being substantially the same as the time segment of the given constrained phoneme; and providing said linguistic formulation hypothesis based on said identified unconstrained phoneme of said unconstrained speech recognition. 13. The method as claimed in claim 1 , wherein said recognition domain comprises a recognition grammar and/or a language model.