Umut Isik

According to our database1, Umut Isik authored at least 19 papers between 2019 and 2022.

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

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Semi-supervised Time Domain Target Speaker Extraction with Attention.
CoRR, 2022

To Dereverb Or Not to Dereverb? Perceptual Studies On Real-Time Dereverberation Targets.
CoRR, 2022

End-to-end LPCNet: A Neural Vocoder With Fully-Differentiable LPC Estimation.
Proceedings of the Interspeech 2022, 2022

Improved Singing Voice Separation with Chromagram-Based Pitch-Aware Remixing.
Proceedings of the IEEE International Conference on Acoustics, 2022

Neural Speech Synthesis on a Shoestring: Improving the Efficiency of Lpcnet.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Personalized PercepNet: Real-Time, Low-Complexity Target Voice Separation and Enhancement.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Semi-Supervised Singing Voice Separation With Noisy Self-Training.
Proceedings of the IEEE International Conference on Acoustics, 2021

Low-Complexity, Real-Time Joint Neural Echo Control and Speech Enhancement Based On Percepnet.
Proceedings of the IEEE International Conference on Acoustics, 2021

Enhancing into the Codec: Noise Robust Speech Coding with Vector-Quantized Autoencoders.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
From Speech-to-Speech Translation to Automatic Dubbing.
CoRR, 2020

From Speech-to-Speech Translation to Automatic Dubbing.
Proceedings of the 17th International Conference on Spoken Language Translation, 2020

Generating Music with a Self-Correcting Non-Chronological Autoregressive Model.
Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

A Perceptually-Motivated Approach for Low-Complexity, Real-Time Enhancement of Fullband Speech.
Proceedings of the Interspeech 2020, 2020

PoCoNet: Better Speech Enhancement with Frequency-Positional Embeddings, Semi-Supervised Conversational Data, and Biased Loss.
Proceedings of the Interspeech 2020, 2020

Channel-Attention Dense U-Net for Multichannel Speech Enhancement.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Efficient Trainable Front-Ends for Neural Speech Enhancement.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Self-Supervised Classification for Detecting Anomalous Sounds.
Proceedings of 5th the Workshop on Detection and Classification of Acoustic Scenes and Events 2020 (DCASE 2020), 2020

Group Masked Autoencoder Based Density Estimator for Audio Anomaly Detection.
Proceedings of 5th the Workshop on Detection and Classification of Acoustic Scenes and Events 2020 (DCASE 2020), 2020

2019
Attention Wave-U-Net for Speech Enhancement.
Proceedings of the 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2019


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