Nicola Pia

Orcid: 0000-0003-0987-863X

According to our database1, Nicola Pia authored at least 14 papers between 2021 and 2025.

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

Timeline

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Links

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Bibliography

2025
UBGAN: Enhancing Coded Speech with Blind and Guided Bandwidth Extension.
CoRR, May, 2025

FlowMAC: Conditional Flow Matching for Audio Coding at Low Bit Rates.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Low-Resource Text-to-Speech Synthesis Using Noise-Augmented Training of ForwardTacotron.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024
Neural Speech Coding for Real-Time Communications Using Constant Bitrate Scalar Quantization.
IEEE J. Sel. Top. Signal Process., December, 2024

Simple and Efficient Quantization Techniques for Neural Speech Coding.
CoRR, 2024

On Improving Error Resilience of Neural End-to-End Speech Coders.
Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024

2023
SEFGAN: Harvesting the Power of Normalizing Flows and GANs for Efficient High-Quality Speech Enhancement.
Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2023

Subjective Evaluation of Text-to-Speech Models: Comparing Absolute Category Rating and Ranking by Elimination Tests.
Proceedings of the 12th ISCA Speech Synthesis Workshop, 2023

Low-Resource Text-to-Speech Using Specific Data and Noise Augmentation.
Proceedings of the 31st European Signal Processing Conference, 2023

2022
NESC: Robust Neural End-2-End Speech Coding with GANs.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

PostGAN: A GAN-Based Post-Processor to Enhance the Quality of Coded Speech.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
A Streamwise Gan Vocoder for Wideband Speech Coding at Very Low Bit Rate.
Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2021

StyleMelGAN: An Efficient High-Fidelity Adversarial Vocoder with Temporal Adaptive Normalization.
Proceedings of the IEEE International Conference on Acoustics, 2021

A Lightweight Neural TTS System for High-quality German Speech Synthesis.
Proceedings of the 14th ITG Conference on Speech Communication, online, September 29, 2021


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