Daniel Korzekwa

Orcid: 0000-0003-1470-4968

According to our database1, Daniel Korzekwa authored at least 20 papers between 2018 and 2023.

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

Timeline

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PhD thesis 
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On csauthors.net:

Bibliography

2023
Comparing normalizing flows and diffusion models for prosody and acoustic modelling in text-to-speech.
CoRR, 2023

AE-Flow: Autoencoder Normalizing Flow.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Computer-assisted pronunciation training - Speech synthesis is almost all you need.
Speech Commun., 2022

Automated detection of pronunciation errors in non-native English speech employing deep learning.
CoRR, 2022

Text-free non-parallel many-to-many voice conversion using normalising flows.
CoRR, 2022

Remap, Warp and Attend: Non-Parallel Many-to-Many Accent Conversion with Normalizing Flows.
Proceedings of the IEEE Spoken Language Technology Workshop, 2022

On Granularity of Prosodic Representations in Expressive Text-to-Speech.
Proceedings of the IEEE Spoken Language Technology Workshop, 2022

L2-GEN: A Neural Phoneme Paraphrasing Approach to L2 Speech Synthesis for Mispronunciation Diagnosis.
Proceedings of the Interspeech 2022, 2022

Creating New Voices using Normalizing Flows.
Proceedings of the Interspeech 2022, 2022

Text-Free Non-Parallel Many-To-Many Voice Conversion Using Normalising Flow.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Enhancing audio quality for expressive Neural Text-to-Speech.
CoRR, 2021

Non-Autoregressive TTS with Explicit Duration Modelling for Low-Resource Highly Expressive Speech.
CoRR, 2021

Weakly-Supervised Word-Level Pronunciation Error Detection in Non-Native English Speech.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Detection of Lexical Stress Errors in Non-Native (L2) English with Data Augmentation and Attention.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Improving the Expressiveness of Neural Vocoding with Non-Affine Normalizing Flows.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Mispronunciation Detection in Non-Native (L2) English with Uncertainty Modeling.
Proceedings of the IEEE International Conference on Acoustics, 2021

Universal Neural Vocoding with Parallel Wavenet.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Constructing a Dataset of Speech Recordings with Lombard Effect.
Proceedings of the Signal Processing: Algorithms, 2020

2019
Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech.
Proceedings of the Interspeech 2019, 2019

2018
Comprehensive Evaluation of Statistical Speech Waveform Synthesis.
Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018


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