| 摘要 |
The present invention is applicable to the field of voice recognition technologies, and provides a method for updating a voiceprint feature model and a terminal. The method includes: obtaining an original audio stream including at least one speaker; obtaining a respective audio stream of each speaker of the at least one speaker in the original audio stream according to a preset speaker segmentation and clustering algorithm; separately matching the respective audio stream of each speaker of the at least one speaker with an original voiceprint feature model, to obtain a successfully matched audio stream; and using the successfully matched audio stream as an additional audio stream training sample for generating the original voiceprint feature model, and updating the original voiceprint feature model. In the present invention, a valid audio stream during a call is adaptively extracted and used as the additional audio stream training sample, so as to dynamically correct the original voiceprint feature model, thereby achieving a purpose of improving precision of the voiceprint feature model and recognition accuracy under a premise of relatively high practicability. |
