Speech recognition method and device, equipment and storage medium
A speech recognition and speech recognition model technology, applied in speech recognition, speech analysis, instruments, etc., can solve problems such as poor recognition effect, difficulty in improving model recognition accuracy, and difficulty in ensuring monotonicity, so as to facilitate speech recognition, The effect of improving accuracy and promoting monotonicity
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[0066] The technical solutions of the embodiments of the present application are applicable to speech recognition application scenarios, and the accuracy and recognition efficiency of end-to-end speech recognition can be improved by adopting the technical solutions of the embodiments of the present application.
[0067] Speech recognition is widely used in home appliances, communications, automotive electronics, medical care, home services, consumer electronics and other fields.
[0068] Currently, end-to-end speech recognition is the most commonly used speech recognition solution. The mainstream end-to-end models mainly include three types: end-to-end ASR based on CTC (Connectionist Temporal Classification), encoder-decoder model based on attention (attention mechanism), and end-to-end model based on RNN-T (Recurrent NeuralNetwork-Transducer). Terminal ASR. Although these three end-to-end models have shown excellent performance in the field of speech recognition, each has it...
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