The application discloses a method for improving voice
conference call quality, relates to the technical field of computer voice
processing, and comprises the following steps: using an Escape-TDNN model, adopting diversity samples and double
noise reduction technology; using a multi-index fusion
algorithm, providing personalized audio services, using adaptive beam forming technology and Wiener filtering
algorithm, adopting a human voice separation model, combining with a voiceprint recognition result for post-
processing optimization, using
natural language processing technology, combining with migration learning technology, using voice synthesis and post-processing technology, fusing
microphone array space information and video visual features, combining with environmental
prior information, introducing an attention mechanism, and supporting online update of the human voice separation model. The application separates background sound by using an
algorithm, isolates
noise, makes voice clear, introduces text-to-speech, copes with situations where voice cannot be emitted or a
microphone fails, accurately identifies and separates human voice by means of voiceprint technology, improves recognition and purity, and enhances audio effect.