Patent ID: 11948552
Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 5:
6. The method of claim 1, wherein the unidirectional LSTM model is trained by:
acquiring speech with noise and speech without noise included in a noise reduction training corpus;
extracting a fourth speech feature and a second text bottleneck feature from the speech with noise;
extracting a fifth speech feature from the speech without noise;
combining the fourth speech feature and the second text bottleneck feature to obtain a second combined feature vector;
inputting the second combined feature vector to the unidirectional LSTM model; and
training the unidirectional LSTM model to obtain a trained unidirectional LSTM model when a minimum mean square error between a reference value outputted by the unidirectional LSTM model and a value of the fifth speech feature is less than or equal to a second threshold.