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Method of optimising the execution of a neural network in a speech recognition system through conditionally skipping a variable number of frames
Method of optimising the execution of a neural network in a speech recognition system through conditionally skipping a variable number of frames
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机译:通过有条件地跳过可变数量的帧来优化语音识别系统中神经网络执行力的方法
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摘要
A method of optimizing the execution of a neural network in a speech recognition system provides for conditionally skipping a variable number of frames, depending on a distance computed between output probabilities, or likelihoods, of a neural network. The distance is initially evaluated between two frames at times 1 and 1+k, where k is a predetermined maximum distance between frames, and if such distance is sufficiently small, the frames between times 1 and 1+k are calculated by interpolation, avoiding further executions of the neural network. If, on the contrary, such distance is not small enough, it means that the outputs of the network are changing quickly, and it is not possible to skip too many frames. In that case, the method attempts to skip remaining frames, calculating and evaluating a new distance.
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