Speech Recognition with Parallel Recognition Tasks
a speech recognition and parallel recognition technology, applied in the field of speech recognition, can solve the problems of increasing the time required to generate the final speech recognition, limiting the accuracy of speech identification to the accuracy associated, and difficulty in entering input through a small keypad or other device manipulated by a user's fingers, so as to achieve different latency and accuracy in performing speech recognition tasks, and high confidence in the correctness of the recognition resul
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[0022]This document describes systems and techniques for using multiple speech recognition systems (SRS's) to decode an utterance. In some implementations, each of the SRS's have different characteristics such as accuracy, latency, dictionaries, etc. so that some of the multiple SRS's output a recognition result before other SRS's. If the output recognition results satisfy certain requirements (e.g., one or more of the generated results are associated with a specified confidence value that meets or exceeds a threshold confidence), a speech decoding system can abort the remaining SRS's before they complete their speech recognition tasks.
[0023]FIG. 1 is a diagram of an example system 100 for recognizing speech. In general, the system 100 includes multiple SRS's that process a received audio signal from, for example, a cell phone. In this example, a user calls a voice-enabled telephone directory service that forwards an audio signal containing the user's voice to a speech recognizer th...
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