12. A non-transitory computer readable medium having stored therein one or more sequences of one or more instructions for execution by one or more processors to perform a method for generating one or more wake-up words, the method comprising: receiving, using a keyboard, a text representation of the one or more wake-up words; determining a strength of the text representation of the one or more wake-up words based on one or more static measures, wherein the determining comprises applying a Kullback-Leibler (KL) divergence calculation between the one or more wake-up words and words unrelated to the one or more wake-up words; comparing a result to the KL divergence calculation to a predetermined distance score associated with a decoding accuracy of a speech recognizer; receiving, using a microphone, an audio representation of the one or more wake-up words; determining a strength of the audio representation of the one or more wake-up words based on one or more dynamic measures; and providing a message on a display device, wherein the message comprises one or more improvements to a likelihood that the speech recognizer recognizes the one or more wake-up words based on the strengths of the text and audio representations.
12. A non-transitory computer readable medium having stored therein one or more sequences of one or more instructions for execution by one or more processors to perform a method for generating one or more wake-up words, the method comprising: receiving, using a keyboard, a text representation of the one or more wake-up words; determining a strength of the text representation of the one or more wake-up words based on one or more static measures, wherein the determining comprises applying a Kullback-Leibler (KL) divergence calculation between the one or more wake-up words and words unrelated to the one or more wake-up words; comparing a result to the KL divergence calculation to a predetermined distance score associated with a decoding accuracy of a speech recognizer; receiving, using a microphone, an audio representation of the one or more wake-up words; determining a strength of the audio representation of the one or more wake-up words based on one or more dynamic measures; and providing a message on a display device, wherein the message comprises one or more improvements to a likelihood that the speech recognizer recognizes the one or more wake-up words based on the strengths of the text and audio representations. 15. The non-transitory computer readable medium of claim 12 , wherein the applying the Kullback-Leibler (KL) divergence calculation comprises calculating a difference between a first probability distribution function associated with one or more phonemes of the one or more wake-up words and a second probability distribution function associated with the words unrelated to the one or more wake-up words.