Femke B. Gelderblom

Orcid: 0000-0002-1034-4427

According to our database1, Femke B. Gelderblom authored at least 5 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
On the Predictive Power of Objective Intelligibility Metrics for the Subjective Performance of Deep Complex Convolutional Recurrent Speech Enhancement Networks.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

2021
Deep Complex Convolutional Recurrent Network for Multi-Channel Speech Enhancement and Dereverberation.
Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

Synthetic Data For Dnn-Based Doa Estimation of Indoor Speech.
Proceedings of the IEEE International Conference on Acoustics, 2021

2019
Subjective Evaluation of a Noise-Reduced Training Target for Deep Neural Network-Based Speech Enhancement.
IEEE ACM Trans. Audio Speech Lang. Process., 2019

2017
Subjective Intelligibility of Deep Neural Network-Based Speech Enhancement.
Proceedings of the Interspeech 2017, 2017


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