activity
20172026
most citedLow-Resource Text-to-Speech Using Specific Data and Noise Augmentation

2 citations · 4 across the 12 of their papers we have counts for

collaborators

13 papers

eess.AS2026

Screening Matters: A Comparative Study of Conventional and Crowdsourced Listening Tests

Anika Treffehn, Andrea Eichenseer, Emily Kratsch +1

Subjective evaluation remains the most reliable way of testing speech and audio coding techniques. Crowdsourcing the listening task is a cost-efficient and fast way of conducting t…

eess.AS2025

UBGAN: Enhancing Coded Speech with Blind and Guided Bandwidth Extension

Kishan Gupta, Srikanth Korse, Andreas Brendel +2

In practical application of speech codecs, a multitude of factors such as the quality of the radio connection, limiting hardware or required user experience necessitate trade-offs…

eess.AS2024★ 1 cited

On Improving Error Resilience of Neural End-to-End Speech Coders

Kishan Gupta, Nicola Pia, Srikanth Korse +3

Error resilient tools like Packet Loss Concealment (PLC) and Forward Error Correction (FEC) are essential to maintain a reliable speech communication for applications like Voice ov…

eess.AS2024

Neural Speech Coding for Real-time Communications using Constant Bitrate Scalar Quantization

Andreas Brendel, Nicola Pia, Kishan Gupta +3

Neural audio coding has emerged as a vivid research direction by promising good audio quality at very low bitrates unachievable by classical coding techniques. Here, end-to-end tra…

eess.AS2023★ 2 cited

Low-Resource Text-to-Speech Using Specific Data and Noise Augmentation

Kishor Kayyar Lakshminarayana, Christian Dittmar, Nicola Pia +1

Many neural text-to-speech architectures can synthesize nearly natural speech from text inputs. These architectures must be trained with tens of hours of annotated and high-quality…

eess.AS2022

NESC: Robust Neural End-2-End Speech Coding with GANs

Nicola Pia, Kishan Gupta, Srikanth Korse +2

Neural networks have proven to be a formidable tool to tackle the problem of speech coding at very low bit rates. However, the design of a neural coder that can be operated robustl…

eess.AS2022

PostGAN: A GAN-Based Post-Processor to Enhance the Quality of Coded Speech

Srikanth Korse, Nicola Pia, Kishan Gupta +1

The quality of speech coded by transform coding is affected by various artefacts especially when bitrates to quantize the frequency components become too low. In order to mitigate…

eess.AS2021

A Streamwise GAN Vocoder for Wideband Speech Coding at Very Low Bit Rate

Ahmed Mustafa, Jan Büthe, Srikanth Korse +3

Recently, GAN vocoders have seen rapid progress in speech synthesis, starting to outperform autoregressive models in perceptual quality with much higher generation speed. However,…

eess.AS2020

StyleMelGAN: An Efficient High-Fidelity Adversarial Vocoder with Temporal Adaptive Normalization

Ahmed Mustafa, Nicola Pia, Guillaume Fuchs

In recent years, neural vocoders have surpassed classical speech generation approaches in naturalness and perceptual quality of the synthesized speech. Computationally heavy models…

math.DG2019

Engel structures on complex surfaces

Nicola Pia, Giovanni Placini

We classify complex surfaces admitting Engel structures which are complex line bundles. Namely we prove that this happens if and only if has trivi…

math.DS2019

On the dynamics of some vector fields tangent to non-integrable plane fields

Nicola Pia

Let be a smooth -distribution on a smooth manifold of dimension and a line field such that $[\mathcal{W},\mathcal…

math.DG2019

Riemannian properties of Engel structures

Nicola Pia

This paper is about geometric and Riemannian properties of Engel structures, i.e. maximally non-integrable -plane fields on -manifolds. Two -forms and are called E…

math.CV2017★ 1 cited

Exotic holomorphic Engel structures on C4

Rui Coelho, Nicola Pia

A holomorphic Engel structure determines a flag of distributions . We construct examples of Engel structures on su…