1. A method for speech to speech translation using a plurality of computational cores of a natural liquid architecture, comprising: receiving an audio input to be translated into a target language; identifying, based on the received audio input, a cluster of signatures; identifying, based on the cluster of signatures, a first concept, wherein the first concept is common to all signatures within the signature cluster; determining a match between the first concept and at least a second concept, wherein the second concept is associated with the target language; determining a first language based on the first concept, wherein the match between the first concept and at least a second concept is based on the first language, and wherein determining the match between the first concept and the at least a second concept further comprises: identifying a first plurality of concepts associated with the first language, wherein the first plurality of concepts is statistically proximate to the first concept and previously matched to a second plurality of concepts, wherein the second plurality of concepts is associated with the target language; and identifying, based on a threshold, a second concept that is statistically proximate to the second plurality of concepts.
1. A method for speech to speech translation using a plurality of computational cores of a natural liquid architecture, comprising: receiving an audio input to be translated into a target language; identifying, based on the received audio input, a cluster of signatures; identifying, based on the cluster of signatures, a first concept, wherein the first concept is common to all signatures within the signature cluster; determining a match between the first concept and at least a second concept, wherein the second concept is associated with the target language; determining a first language based on the first concept, wherein the match between the first concept and at least a second concept is based on the first language, and wherein determining the match between the first concept and the at least a second concept further comprises: identifying a first plurality of concepts associated with the first language, wherein the first plurality of concepts is statistically proximate to the first concept and previously matched to a second plurality of concepts, wherein the second plurality of concepts is associated with the target language; and identifying, based on a threshold, a second concept that is statistically proximate to the second plurality of concepts. 7. The method of claim 1 , wherein each concept is at least one of: at least one tone, at least one musical note, at least one word, and at least one syllable.