11. A system comprising at least one computing device for processing one or more crowdsourced tasks, the at least one computing device comprising: one or more processors operable to: convert an audio input received from a crowdworker to one or more phrases, wherein the audio input is at least a response to a crowdsourced task, a mode of the audio input being recommended to the crowdworker based a performance score associated with the crowdworker; wherein the mode of the audio input is selected from a group consisting of a character-wise speech and a word-wise speech and the performance score corresponds to an accuracy ration of the crowdworker obtained as a ratio of number of correctly attempted tasks to total number of attempted tasks; and present the one or more phrases on a display of the at least one computing device, wherein a phrase from the one or more phrases is selected by the crowdworker as a correct response to the crowdsourced task.
11. A system comprising at least one computing device for processing one or more crowdsourced tasks, the at least one computing device comprising: one or more processors operable to: convert an audio input received from a crowdworker to one or more phrases, wherein the audio input is at least a response to a crowdsourced task, a mode of the audio input being recommended to the crowdworker based a performance score associated with the crowdworker; wherein the mode of the audio input is selected from a group consisting of a character-wise speech and a word-wise speech and the performance score corresponds to an accuracy ration of the crowdworker obtained as a ratio of number of correctly attempted tasks to total number of attempted tasks; and present the one or more phrases on a display of the at least one computing device, wherein a phrase from the one or more phrases is selected by the crowdworker as a correct response to the crowdsourced task. 17. The system of claim 11 , wherein the one or more processors are further operable to train the at least one computing device by presenting one or more sample tasks to the crowdworker, wherein the at least one computing device is trained based on an accent of the crowdworker.