activity
20172026
most citedMachine Translation of Low-Resource Spoken Dialects: Strategies for Normalizing Swiss German

19 citations · 19 across the 3 of their papers we have counts for

collaborators

5 papers

cs.SD2026

Controlling Speaking Rate in Autoregressive TTS via Activation Steering

Francesco Verdini, Antonis Asonitis, Aref Farhadipour +4

Autoregressive text-to-speech (TTS) systems synthesize natural speech but, once trained, offer little control over speaking rate. We show that speaking rate can be steered at infer…

cs.SD2026

The Limits of Reference-Free Speech Quality Metrics as Evaluators and Rewards on Modern Text-to-Speech

Antonis Asonitis, Juan Pablo Zuluaga Gomez, Francesco Verdini +4

Reference-free quality predictors such as UTMOS, DNSMOS and SCOREQ are the de facto automatic evaluators for text-to-speech (TTS) and are increasingly adopted as reward signals for…

cs.LG2026

GRAFT: Grafted Reference Audio for Fine-grained Pronunciation in Zero-shot Text-to-Speech

Antonis Asonitis, Francesco Verdini, Aref Farhadipour +4

We present GRAFT, a per-word pronunciation conditioning mechanism for text-to-speech neural codec language modeling. Existing systems reach high intelligibility and naturalness but…

eess.AS2024

An investigation of modularity for noise robustness in conformer-based ASR

Louise Coppieters de Gibson, Philip N. Garner, Pierre-Edouard Honnet

Whilst state of the art automatic speech recognition (ASR) can perform well, it still degrades when exposed to acoustic environments that differ from those used when training the m…

cs.CL2017★ 19 cited

Machine Translation of Low-Resource Spoken Dialects: Strategies for Normalizing Swiss German

Pierre-Edouard Honnet, Andrei Popescu-Belis, Claudiu Musat +1

The goal of this work is to design a machine translation (MT) system for a low-resource family of dialects, collectively known as Swiss German, which are widely spoken in Switzerla…