Predicting recognition quality of a phrase in automatic speech recognition systems
OwnerAmir Lev-Tov, Avraham Faizakof +1inventors
InventorsAmir Lev-Tov, Avraham Faizakof, Yochai Konig
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Abstract
A method for predicting a speech recognition quality of a phrase comprising at least one word includes: receiving, on a computer system including a processor and memory storing instructions, the phrase; computing, on the computer system, a set of features comprising one or more features corresponding to the phrase; providing the phrase to a prediction model on the computer system and receiving a predicted recognition quality value based on the set of features; and returning the predicted recognition quality value.
Claims20
A method for configuring a speech analytics system, the method comprising:
- computing, on a computer system comprising a processor and memory storing instructions, a plurality of text features corresponding to a text phrase, the text phrase comprising text including at least one word;
- computing, by supplying the plurality of text features corresponding to the text phrase as input to a prediction model on the computer system, a predicted recognition quality value representing a likelihood of the text phrase being correctly recognized by an automatic speech recognition system of the speech analytics system when appearing in spoken form in user speech, the prediction model being trained using:
- a plurality of true transcriptions of a collection of recorded speech;
- a plurality of training text features of the true transcriptions;
- and
- a recognizer output generated by supplying the recorded speech to the automatic speech recognition system;
- and
- displaying, on a graphical user interface, the predicted recognition quality value for the text phrase.
A system for configuring a speech analytics system, the system comprising:
- a processor;
- and
- memory storing instructions that, when executed by the processor, cause the processor to:
- compute a plurality of text features corresponding to a text phrase, the text phrase comprising text including at least one word;
- compute, by supplying the plurality of text features corresponding to the text phrase as input to a prediction model, a predicted recognition quality value representing a likelihood of the text phrase being correctly recognized by an automatic speech recognition system of the speech analytics system when appearing in spoken from in user speech, the prediction model being trained using:
- a plurality of true transcriptions of a collection of recorded speech;
- a plurality of training text features of the true transcriptions;
- and
- a recognizer output generated by supplying the recorded speech to the automatic speech recognition system;
- and
- display, on a graphical user interface, the predicted recognition quality value for the text phrase.
Dependencies are inferred from the claim text.