Szczegóły publikacji
Opis bibliograficzny
Do you read me? - flow of speech effect on speaker recognition systems / Alicja MARTINEK, Joanna Gajewska, Ewelina Bartuzi-Trokielewicz // W: Interspeech 2025 [Dokument elektroniczny] : 17–21 August 2025, Rotterdam, The Netherlands. — Wersja do Windows. — Dane tekstowe. — [France : ISCA], [2025]. — ( Interspeech : proceedings of the ... Annual Conference of the International Speech Communication Association ; ISSN 2958-1796 ). — S. 3643–3647. — Wymagania systemowe: Adobe Reader. — Tryb dostępu: https://www.isca-archive.org/interspeech_2025/martinek25_inte... [2026-01-15]. — Bibliogr. s. 3647, Abstr. — A. Martinek - dod. afiliacja: NASK National Research Institute, Poland
Autorzy (3)
- AGHMartinek Alicja
- Gajewska Joanna
- Bartuzi-Trokielewicz Ewelina
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 165434 |
|---|---|
| Data dodania do BaDAP | 2026-01-15 |
| DOI | 10.21437/Interspeech.2025-2629 |
| Rok publikacji | 2025 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Konferencja | Interspeech 2025 |
| Czasopismo/seria | Interspeech |
Abstract
Comparing two types of speech – read and spontaneous – poses a significant challenge for speaker verification models. This study examines the impact of these differences on the performance of advanced biometric systems. We conducted tests using two baseline speaker verification models and two spoof-aware approaches to assess their ability to handle variations between read and spontaneous speech. Additionally, we generated synthetic speech using two state-of-the-art Text-to-Speech methods, training the models either on spontaneous or read speech. The results indicate that mixing spontaneous and read speech compared with uniform type of speech yields higher error rates in biometric verification. The situation is similar in both testing scenarios, comparing genuines with impostors and genuines with synthetic speech, regardless of the type of speaker recognition model — base or spoof-aware.
