Matthew Maciejewski
Scholar

Matthew Maciejewski

Google Scholar ID: 2uyMFk4AAAAJ
Johns Hopkins University
speech separationspeaker diarizationspeaker identification
Citations & Impact
All-time
Citations
721
 
H-index
10
 
i10-index
11
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Background
  • Researcher specializing in speech and audio technology
  • Interested in processing conversations captured in ambient acoustic environments with multiple far-field speakers
  • Expertise in deep learning, statistical modeling, and signal processing
  • Focuses on waveform-level processing of acoustic signals
  • Primary research interests include speech enhancement, single-channel speech separation, speaker diarization, and speaker identification
  • Addresses challenges such as low volume, interference, reverberation, and overlapping speech in real-world recordings
Co-authors
0 total
Co-authors: 0 (list not available)