4 citations · 9 across the 7 of their papers we have counts for
7 papers
Towards generalisable and calibrated synthetic speech detection with self-supervised representations
Octavian Pascu, Adriana Stan, Dan Oneata +2
Generalisation -- the ability of a model to perform well on unseen data -- is crucial for building reliable deepfake detectors. However, recent studies have shown that the current…
An analysis on the effects of speaker embedding choice in non auto-regressive TTS
Adriana Stan, Johannah O'Mahony
In this paper we introduce a first attempt on understanding how a non-autoregressive factorised multi-speaker speech synthesis architecture exploits the information present in diff…
Residual Information in Deep Speaker Embedding Architectures
Adriana Stan
Speaker embeddings represent a means to extract representative vectorial representations from a speech signal such that the representation pertains to the speaker identity alone. T…
The ZevoMOS entry to VoiceMOS Challenge 2022
Adriana Stan
This paper introduces the ZevoMOS entry to the main track of the VoiceMOS Challenge 2022. The ZevoMOS submission is based on a two-step finetuning of pretrained self-supervised lea…
Speaker disentanglement in video-to-speech conversion
Dan Oneata, Adriana Stan, Horia Cucu
The task of video-to-speech aims to translate silent video of lip movement to its corresponding audio signal. Previous approaches to this task are generally limited to the case of…
An evaluation of word-level confidence estimation for end-to-end automatic speech recognition
Dan Oneata, Alexandru Caranica, Adriana Stan +1
Quantifying the confidence (or conversely the uncertainty) of a prediction is a highly desirable trait of an automatic system, as it improves the robustness and usefulness in downs…
RECOApy: Data recording, pre-processing and phonetic transcription for end-to-end speech-based applications
Adriana Stan
Deep learning enables the development of efficient end-to-end speech processing applications while bypassing the need for expert linguistic and signal processing features. Yet, rec…