1. A method comprising: receiving, on a computer system comprising a processor and memory storing instructions, a phrase, the phrase comprising text including at least one word; computing, on the computer system, a set of features comprising one or more features corresponding to the text of the phrase; providing the set of features to a prediction model on the computer system; receiving, from the prediction model, a predicted recognition quality value for the phrase that is computed based on the set of features, the predicted recognition quality value measuring a likelihood of the phrase being correctly recognized by an automatic speech recognition system when appearing in user speech; and displaying, using a graphical user interface associated with the computer system, a label corresponding to the phrase, the label based on the predicted recognition quality value and indicating the likelihood of the phrase being correctly recognized by an automatic speech recognition system when appearing in user speech.
1. A method comprising: receiving, on a computer system comprising a processor and memory storing instructions, a phrase, the phrase comprising text including at least one word; computing, on the computer system, a set of features comprising one or more features corresponding to the text of the phrase; providing the set of features to a prediction model on the computer system; receiving, from the prediction model, a predicted recognition quality value for the phrase that is computed based on the set of features, the predicted recognition quality value measuring a likelihood of the phrase being correctly recognized by an automatic speech recognition system when appearing in user speech; and displaying, using a graphical user interface associated with the computer system, a label corresponding to the phrase, the label based on the predicted recognition quality value and indicating the likelihood of the phrase being correctly recognized by an automatic speech recognition system when appearing in user speech. 4. The method of claim 1 , wherein the prediction model is generated by: generating, on the computer system, a plurality of training phrases from a collection of recorded audio; calculating, on the computer system, a target value for each of the training phrases; calculating a plurality of features of each of the training phrases; training, on the computer system, the prediction model based on the features; and setting, on the computer system, a filtering threshold.