A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is
Communication between people and machines has been extended in the last two decades. Corresponding techniques have been founded to cover the need of voice understanding, including speech and speaker recognition on a large-scale. In this paper, the authors propose a simplified deep-learning approach to accomplish the large-scale speaker identification task using as little training data as possible. Fisher speech corpus has been explored to select the recordings of unique speakers havingdoi:10.1016/j.jksuci.2020.03.011 fatcat:3dgjpnz3l5dv5kqmhg7lrkxgau