Multi-Speaker Source Separation

Multi-Speaker Source Separation is an advanced signal processing technology designed to separate the voices of multiple speakers from mixed audio signals. This technique achieves effective differentiation and extraction of different sound sources by analyzing the spectral characteristics and time-domain properties of the audio signals. Its primary goal is to improve the accuracy of speech recognition and understanding, enhance the robustness of voice communication systems, and improve audio quality. In practical applications, Multi-Speaker Source Separation is widely used in areas such as meeting transcription, remote calls, and voice assistants, significantly enhancing user experience and system performance in multi-speaker scenarios.