1. A method for processing one or more crowdsourced tasks, the method comprising: in at least one computing device: converting an audio input received from a crowdworker to one or more phrases by one or more processors in the at least one computing device, 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 presenting the one or more phrases on a display of the at least one computing device by the one or more processors, wherein a phrase from the one or more phrases is selected by the crowdworker as a correct response to the crowdsourced task.
1. A method for processing one or more crowdsourced tasks, the method comprising: in at least one computing device: converting an audio input received from a crowdworker to one or more phrases by one or more processors in the at least one computing device, 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 presenting the one or more phrases on a display of the at least one computing device by the one or more processors, wherein a phrase from the one or more phrases is selected by the crowdworker as a correct response to the crowdsourced task. 8. The method of claim 1 , further comprising training 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, whereby the training enables the at least one computing device to convert the audio input to the one or more phrases.