Henrique De Melo Ribeiro

ORCID: 0000-0001-5637-9644
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About
Contact & Profiles
Research Areas
  • Speech Recognition and Synthesis
  • ECG Monitoring and Analysis
  • Music and Audio Processing
  • Recycled Aggregate Concrete Performance
  • Non-Invasive Vital Sign Monitoring
  • Voice and Speech Disorders
  • 3D Surveying and Cultural Heritage
  • EEG and Brain-Computer Interfaces
  • Infrastructure Maintenance and Monitoring

Brunel University of London
2024

University of West London
2022-2023

The acts of speaking and singing are different phenomena displaying distinct characteristics. classification distinction these voice is vastly approached utilizing audio recordings microphones. use recordings, however, can become challenging computationally expensive due to the complexity signal. research presented in this paper seeks address issue by implementing a deep learning classifier voices based on bioimpedance measurement replacement recordings. In addition, proposed aims develop...

10.1016/j.jvoice.2023.03.018 article EN cc-by Journal of Voice 2023-05-01
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