13. An apparatus for speech recognition of input speech in a language from a non-native speaker, the apparatus comprising: at least one computer-readable medium encoded with instructions; and at least one processing unit coupled to the at least one computer-readable medium, wherein upon execution of the instructions by the at least one processing unit, the at least one processing unit: generates one or more feature vectors based upon one or more voice-induced electrical signals that result from the input speech; generates a first-language phoneme sequence from the one or more feature vectors based upon a first-language acoustic model, wherein the first-language acoustic model corresponds to a first language; determines a second-language speech segment from the first-language phoneme sequence based upon a second-language lexicon model, wherein the second-language lexicon model corresponds to a second language that is different from the first language; determines a confidence score associated with a combination of the first-language acoustic model and the second-language lexicon model; and selects the first-language acoustic model from a plurality of acoustic models based at least in part on the determined confidence score, each of the plurality of acoustic models corresponding to a different respective language.
13. An apparatus for speech recognition of input speech in a language from a non-native speaker, the apparatus comprising: at least one computer-readable medium encoded with instructions; and at least one processing unit coupled to the at least one computer-readable medium, wherein upon execution of the instructions by the at least one processing unit, the at least one processing unit: generates one or more feature vectors based upon one or more voice-induced electrical signals that result from the input speech; generates a first-language phoneme sequence from the one or more feature vectors based upon a first-language acoustic model, wherein the first-language acoustic model corresponds to a first language; determines a second-language speech segment from the first-language phoneme sequence based upon a second-language lexicon model, wherein the second-language lexicon model corresponds to a second language that is different from the first language; determines a confidence score associated with a combination of the first-language acoustic model and the second-language lexicon model; and selects the first-language acoustic model from a plurality of acoustic models based at least in part on the determined confidence score, each of the plurality of acoustic models corresponding to a different respective language. 18. The apparatus of claim 13 , wherein the first-language acoustic model is associated with a native language of the non-native speaker and the second-language lexicon model is associated with a spoken language of the input speech.