Method of recognizing speech offline, electronic device, and storage medium

A method of recognizing speech offline, comprising:

• generating a connectionist temporal classification (CTC) output and a listen, attend and spell (LAS) output by using an acoustic model based on feature data extracted from speech data;
• decoding the speech data by using a syllable decoder based on the CTC output and the LAS output in combination with a language model, to obtain a syllable recognition result;
• and
• transforming the syllable recognition result into the corresponding text as a speech recognition result of the speech data by using a streaming transformer model;
• wherein the acoustic model comprises an encoder, a CTC module and a decoder, the encoder comprises a convolution layer, a first long short term memory (LSTM) layer and a batch normalize (BN) layer, the CTC module comprises a linear layer and a first softmax layer, the decoder is an LAS decoder, and the decoder comprises an attention layer, a second LSTM layer, a layer normalize (LN) layer and a second softmax layer;
• and
• wherein the language model comprises a third LSTM and a fourth LSTM layer.