Patent ID: 11972754
Assignee: TENCENT AMERICA LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method of performing sequence to sequence (Seq2Seq) speech recognition training by at least one processor, the Seq2Seq speech recognition training method comprising:
acquiring, by the at least one processor, a training set comprising a plurality of pairs of input data and target data corresponding to the input data;
encoding, by an encoder implemented by the at least one processor, the input data into a sequence of hidden states;
performing, by the at least one processor, a connectionist temporal classification (CTC) model training based on the sequence of hidden states at a first period of time;
performing, by the at least one processor, an attention model training based on the sequence of hidden states at a second period of time;
generating, by the at least one processor, target labels by performing the CTC model training and the attention model training; and
additionally transforming the sequence of hidden states using additional layers to generate the new sequence of hidden states to enable content match between query and context; and
performing, by the at least one processor, the attention model training based on a new sequence of hidden states generated based on the sequence of hidden states, the new sequence of hidden states being different from the sequence of hidden states used by the CTC model training.