Two-Microphone Separation of Speech Mixtures

  title={Two-Microphone Separation of Speech Mixtures},
  author={Michael Syskind Pedersen and DeLiang Wang and Jan Larsen and Ulrik Kjems},
  journal={IEEE Transactions on Neural Networks},
Separation of speech mixtures, often referred to as the cocktail party problem, has been studied for decades. In many source separation tasks, the separation method is limited by the assumption of at least as many sensors as sources. Further, many methods require that the number of signals within the recorded mixtures be known in advance. In many real-world applications, these limitations are too restrictive. We propose a novel method for underdetermined blind source separation using an… CONTINUE READING