activity
20222026
most citedCan we reconstruct a dysarthric voice with the large speech model Parler TTS?

1 citations · 1 across the 7 of their papers we have counts for

collaborators

8 papers

cs.HC2026

A Cross Community Agenda for Speech AI

Maria Teleki, Kimi Wenzel, Anna Seo Gyeong Choi +20

Speech AI, any AI system that recognizes, transforms, or generates speech, is built and evaluated across two communities with only a small overlap: technical natural language proce…

eess.AS2026

Sexualised synthetic personas encode and amplify gendered power asymmetries through voice

Alice Ross, Ariadna Sanchez, Elin Kanhov +2

This work examines sexualised AI-generated English-speaking voices offered by a popular commercial platform. New technologies may enable sexual empowerment and greater diversity in…

eess.AS2026

An Evaluation Framework for Text-to-Speech Voice Reconstruction

Ariadna Sanchez, Christoph Minixhofer, Korin Richmond +3

Voice reconstruction using Text-to-Speech (TTS) offers a communication method for people with speech disorders, which aims to retain their speaker identity while improving intellig…

eess.AS2025★ 1 cited

Can we reconstruct a dysarthric voice with the large speech model Parler TTS?

Ariadna Sanchez, Simon King

Speech disorders can make communication hard or even impossible for those who develop them. Personalised Text-to-Speech is an attractive option as a communication aid. We attempt v…

cs.CL2024

Beyond the binary: Limitations and possibilities of gender-related speech technology research

Ariadna Sanchez, Alice Ross, Nina Markl

This paper presents a review of 107 research papers relating to speech and sex or gender in ISCA Interspeech publications between 2013 and 2023. We note the scarcity of work on thi…

eess.AS2022

Unify and Conquer: How Phonetic Feature Representation Affects Polyglot Text-To-Speech (TTS)

Ariadna Sanchez, Alessio Falai, Ziyao Zhang +2

An essential design decision for multilingual Neural Text-To-Speech (NTTS) systems is how to represent input linguistic features within the model. Looking at the wide variety of ap…

eess.AS2022

Mix and Match: An Empirical Study on Training Corpus Composition for Polyglot Text-To-Speech (TTS)

Ziyao Zhang, Alessio Falai, Ariadna Sanchez +2

Training multilingual Neural Text-To-Speech (NTTS) models using only monolingual corpora has emerged as a popular way for building voice cloning based Polyglot NTTS systems. In ord…

cs.SD2022

Automatic Evaluation of Speaker Similarity

Deja Kamil, Sanchez Ariadna, Roth Julian +1

We introduce a new automatic evaluation method for speaker similarity assessment, that is consistent with human perceptual scores. Modern neural text-to-speech models require a vas…