  Extracting direct-path spatial features is critical for sound source
localization in adverse acoustic environments. This paper proposes a full-band
and narrow-band fusion network for estimating direct-path inter-channel phase
difference (DP-IPD) from microphone signals. The alternating full-band and
narrow-band layers are responsible for learning the full-band correlation and
narrow-band extraction of DP-IPD, respectively. Experiments show that the
proposed network noticeably outperforms other advanced methods on both
simulated and real-world data.
