Method and device for generating speech recognition model and storage medium

A device for generating a speech recognition model, wherein the speech recognition model comprises an encoder and a decoder, and the device comprises:

• a processor;
• and
• a memory configured to store instructions executable by the processor;
• wherein the processor is configured to execute the instructions to:
• obtain training samples, wherein each of the training sample comprises a speech frame sequence and a corresponding labeled text sequence;
• train the encoder by using the speech frame sequence as an input feature of the encoder and using speech encoded frames of the speech frame sequence as an output feature of the encoder;
• and
• train the decoder by using the speech encoded frames as a first input feature of the decoder and using the labeled text sequence as a first output feature of the decoder, and obtain a current prediction text sequence;
• train the decoder again by using the speech encoded frame as a second input feature of the decoder and using a sequence based on a preset probability as a second output feature of the decoder, wherein the sequence is obtained by sampling the labeled text sequence and the current prediction text sequence based on a preset probability.

A computer readable storage medium storing computer programs that, when executed by a processor, cause the processor to perform the operation of:

• obtaining training samples, wherein each of the training samples comprises a speech frame sequence and a corresponding labeled text sequence;
• training an encoder by using the speech frame sequence as an input feature of the encoder and using speech encoded frames of the speech frame sequence as an output feature of the encoder;
• training a decoder by using the speech encoded frames as a first input feature of the decoder and using the labeled text sequence as a first output feature of the decoder, and obtaining a current prediction text sequence;
• and
• training the decoder again by using the speech encoded frames as a second feature of the decoder and using a sequence as a second output feature of the decoder, wherein the sequence is obtained by sampling the labeled text sequence and the current prediction text sequence based on a preset probability.