1. A computer-implemented method comprising: determining, based on a multi-word phrase, a word-dependent language model specific to the multi-word phrase and enabling word-level speech verification, the word-dependent language model including different accuracy thresholds for at least two of the multiple words, the different accuracy thresholds including a highest accuracy threshold for a most important word in the multi-word phrase, the highest accuracy threshold generated by providing a greatest number of imposter words in the word-dependent language model for the most important word in the multi-word phrase, wherein determining the word-dependent language model determines, based on a length of the most important word in the multi-word phrase, a set of words having the length, and wherein the imposter words for the most important word in the word-dependent language model includes the set of words; providing the word-dependent language model of the multi-word phrase to a speech-recognition engine; and receiving, from the speech-recognition engine and responsive to the speech-recognition engine receiving one or more human utterances associated with the multi-word phrase, an indication that the one or more utterances is verified or not verified to be the multi-word phrase.
1. A computer-implemented method comprising: determining, based on a multi-word phrase, a word-dependent language model specific to the multi-word phrase and enabling word-level speech verification, the word-dependent language model including different accuracy thresholds for at least two of the multiple words, the different accuracy thresholds including a highest accuracy threshold for a most important word in the multi-word phrase, the highest accuracy threshold generated by providing a greatest number of imposter words in the word-dependent language model for the most important word in the multi-word phrase, wherein determining the word-dependent language model determines, based on a length of the most important word in the multi-word phrase, a set of words having the length, and wherein the imposter words for the most important word in the word-dependent language model includes the set of words; providing the word-dependent language model of the multi-word phrase to a speech-recognition engine; and receiving, from the speech-recognition engine and responsive to the speech-recognition engine receiving one or more human utterances associated with the multi-word phrase, an indication that the one or more utterances is verified or not verified to be the multi-word phrase. 4. A computer-implemented method as described in claim 1 , wherein determining the word-dependent language model determines, based on one or more letters and letter locations of a word in the multi-word phrase that are known to a person from which the one or more human utterances are expected, a set of words having the one or more letters, and further comprising including the set of words in the word-dependent language model.