Speech recognition method and device applied to field of power dispatching

Abstract

The embodiment of the invention provides a speech recognition method and device applied to the field of power dispatching. The method comprises the steps of inputting a power normalized cepstrum coefficient feature of speech to be recognized into a convolutional neural network in a preset neural network model to acquire a new feature; splicing the new feature, the power normalized cepstrum coefficient feature and a speaker feature to acquire a mixed feature; inputting the mixed feature into a plurality of time delay neural network sets and a plurality of bidirectional long short-term memory circulatory neural network sets arranged alternatively in the preset neural network model to acquire a posterior probability of a word sequence set aiming at the feature of the speech to be recognized;and decoding the speech to be recognized according to the posterior probability in combination with a language model to acquire a recognized word sequence. In the field of power dispatching, a speechrecognition acoustic model multinetwork combined training method based on the abovementioned three networks is provided, so that the speech to be recognized can be recognized via the trained model, the power of work of a dispatcher is reduced, and the time of repeated work of the dispatcher is reduced.

Description

technical field [0001] The invention relates to the technical field of power dispatching, in particular to a voice recognition method and device applied in the field of power dispatching. Background technique [0002] The power grid control centers at all levels are the organization, command, guidance and coordination organization of the power grid operation. The dispatchers of the control center, as the direct commander of the power grid operation, stick to the front line of the power grid operation. With the continuous expansion of the national network scale and the continuous improvement of voltage levels, the power grid has completely surpassed the traditional ultra-high voltage AC power grid in terms of the number of equipment, interconnection modes, coupling characteristics, and complexity. The power grid is facing challenges from natural, man-made, and internal factors. The problem is also more prominent, and, due to the large number of dispatchers in the control cent...

AI Technical Summary

Problems solved by technology

With the continuous expansion of the national network scale and the continuous improvement of voltage levels, the power grid has completely surpassed the traditional ultra-high voltage AC power grid in terms of the number of equipment, interconnection modes, coupling characteristics, and complexity. The power grid is facing challenges from natural, man-made, and internal factors. The problem is also more prominent, and due to the large number of dispatchers in the control center, there will inevitably be more noise in the control center, which causes the workload, complexity and work pressure of the dispatcher to dispatch the power grid.

At present, the conventional transactional, routine, and stylized work in dispatching operation occupies a lot of time and energy of dispatchers, making them unable to focus on grid operation monitoring, risk analysis, and accident handling, which are directly related to the safe and stable operation of the grid. core tasks

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