Interactive Intonation Optimisation Using CMA-ES and DCT Parameterisation of the F0 Contour for Speech Synthesis. - Adriana Stan; Florin-Claudiu Pop; Marcel Cremene; Mircea Giurgiu; Denis Pallez (NICSO, 2011)

A superpositional model applied to F0 parameterization using DCT for text-to-speech synthesis. - Adriana Stan; Mircea Giurgiu (SpeD, 2011)

The Romanian speech synthesis (RSS) corpus: Building a high quality HMM-based speech synthesis system using a high sampling rate. - Adriana Stan; Junichi Yamagishi; Simon King 001; Matthew P. Aylett (Speech Commun., 2011)

A grapheme-based method for automatic alignment of speech and text data. - Adriana Stan; Peter Bell 001; Simon King 001 (SLT, 2012)

The Simple4All entry to the Blizzard Challenge 2013. - Oliver Watts; Adriana Stan; Yoshitaka Mamiya; Antti Suni; Jose Martin Burgos; Juan Manuel Montero (Blizzard Challenge, 2013)

Lightly supervised GMM VAD to use audiobook for speech synthesiser. - Yoshitaka Mamiya; Junichi Yamagishi; Oliver Watts; Robert A. J. Clark; Simon King 001; Adriana Stan (ICASSP, 2013)

Lightly supervised discriminative training of grapheme models for improved sentence-level alignment of speech and text data. - Adriana Stan; Peter Bell 001; Junichi Yamagishi; Simon King 001 (INTERSPEECH, 2013)

TUNDRA: a multilingual corpus of found data for TTS research created with light supervision. - Adriana Stan; Oliver Watts; Yoshitaka Mamiya; Mircea Giurgiu; Robert A. J. Clark; Junichi Yamagishi; Simon King 001 (INTERSPEECH, 2013)

Evaluation of sentiment polarity prediction using a dimensional and a categorical approach. - Ioana Muresan; Adriana Stan; Mircea Giurgiu; Rodica Potolea (SpeD, 2013)

Using adaptation to improve speech transcription alignment in noisy and reverberant environments. - Yoshitaka Mamiya; Adriana Stan; Junichi Yamagishi; Peter Bell 001; Oliver Watts; Robert A. J. Clark; Simon King 001 (SSW, 2013)

Unsupervised and lightly-supervised learning for rapid construction of TTS systems in multiple languages from 'found' data: evaluation and analysis. - Oliver Watts; Adriana Stan; Robert A. J. Clark; Yoshitaka Mamiya; Mircea Giurgiu; Junichi Yamagishi; Simon King 001 (SSW, 2013)

Neural net word representations for phrase-break prediction without a part of speech tagger. - Oliver Watts; Siva Reddy Gangireddy; Junichi Yamagishi; Simon King 001; Steve Renals; Adriana Stan; Mircea Giurgiu (ICASSP, 2014)

RSS-TOBI - A Prosodically Enhanced Romanian Speech Corpus. - Tiberiu Boros; Adriana Stan; Oliver Watts; Stefan Daniel Dumitrescu (LREC, 2014)

Phonetic segmentation of speech using STEP and t-SNE. - Adriana Stan; Cassia Valentini-Botinhao; Mircea Giurgiu; Simon King 001 (SpeD, 2015)

Improving sentence-level alignment of speech with imperfect transcripts using utterance concatenation and VAD. - Alexandru Moldovan; Adriana Stan; Mircea Giurgiu (ICCP, 2016)

Blind speech segmentation using spectrogram image-based features and Mel cepstral coefficients. - Adriana Stan; Cassia Valentini-Botinhao; Bogdan Orza; Mircea Giurgiu (SLT, 2016)

ALISA: An automatic lightly supervised speech segmentation and alignment tool. - Adriana Stan; Yoshitaka Mamiya; Junichi Yamagishi; Peter Bell 001; Oliver Watts; Robert A. J. Clark; Simon King 001 (Comput. Speech Lang., 2016)

The SWARA speech corpus: A large parallel Romanian read speech dataset. - Adriana Stan; Florina Dinescu; Cristina Tiple; Serban Meza; Bogdan Orza; Magdalena Chirila; Mircea Giurgiu (SpeD, 2017)

MaRePhoR - An open access machine-readable phonetic dictionary for Romanian. - Stefan Adrian Toma; Adriana Stan; Mihai-Lica Pura; Traian Barsan (SpeD, 2017)

Romanian Part of Speech Tagging using LSTM Networks. - Beáta Lorincz; Maria Nutu; Adriana Stan (ICCP, 2019)

Deep Learning for Automatic Diacritics Restoration in Romanian. - Maria Nutu; Beáta Lorincz; Adriana Stan (ICCP, 2019)

All Together Now: The Living Audio Dataset. - David A. Braude; Matthew P. Aylett; Caoimhín Laoide-Kemp; Simone Ashby; Kristen M. Scott; Brian Ó Raghallaigh; Anna Braudo; Alex Brouwer; Adriana Stan (INTERSPEECH, 2019)

Input Encoding for Sequence-to-Sequence Learning of Romanian Grapheme-to-Phoneme Conversion. - Adriana Stan (SpeD, 2019)

RECOApy: Data Recording, Pre-Processing and Phonetic Transcription for End-to-End Speech-Based Applications. - Adriana Stan (INTERSPEECH, 2020)

An Evaluation of Postfiltering for Deep Learning Based Speech Synthesis with Limited Data. - Beáta Lorincz; Maria Nutu; Adriana Stan; Mircea Giurgiu (IEEE Conf. on Intelligent Systems, 2020)

Designing a Synthesized Content Feed System for Community Radio. - Kristen M. Scott; Simone Ashby; Adriana Stan (NordiCHI, 2020)

Speaker verification-derived loss and data augmentation for DNN-based multispeaker speech synthesis. - Beáta Lorincz; Adriana Stan; Mircea Giurgiu (EUSIPCO, 2021)

Speaker disentanglement in video-to-speech conversion. - Dan Oneata; Adriana Stan; Horia Cucu (EUSIPCO, 2021)

An objective evaluation of the effects of recording conditions and speaker characteristics in multi-speaker deep neural speech synthesis. - Beáta Lorincz; Adriana Stan; Mircea Giurgiu (KES, 2021)

LiRo: Benchmark and leaderboard for Romanian language tasks. - Stefan Daniel Dumitrescu; Petru Rebeja; Beáta Lorincz; Mihaela Gaman; Andrei-Marius Avram; Mihai Ilie; Andrei Pruteanu; Adriana Stan; Lorena Rosia; Cristina Iacobescu; Luciana Morogan; George Dima; et al. (NeurIPS Datasets and Benchmarks, 2021)

An Evaluation of Word-Level Confidence Estimation for End-to-End Automatic Speech Recognition. - Dan Oneata; Alexandru Caranica; Adriana Stan; Horia Cucu (SLT, 2021)

An analysis of the data efficiency in Tacotron2 speech synthesis system. - Georgiana Saracu; Adriana Stan (SpeD, 2021)

The MARA corpus: Expressivity in end-to-end TTS systems using synthesised speech data. - Adriana Stan; Beáta Lorincz; Maria Nutu; Mircea Giurgiu (SpeD, 2021)

The ZevoMOS entry to VoiceMOS Challenge 2022. - Adriana Stan (INTERSPEECH, 2022)

Gamification-Based Tools Embedded in the Helios Educational Platform. - Cosmin Striletchi; Adriana Cornelia Stan; Eusebiu Jecan (WorldCIST (2), 2022)

FlexLip: A Controllable Text-to-Lip System. - Dan Oneata; Beáta Lorincz; Adriana Stan; Horia Cucu (Sensors, 2022)

Kinyarwanda TTS: Using a multi-speaker dataset to build a Kinyarwanda TTS model. - Samuel Rutunda; Kleber Kabanda; Adriana Stan (AfricaNLP, 2023)

An analysis of large speech models-based representations for speech emotion recognition. - Adrian Bogdan Stânea; Vlad Striletchi; Cosmin Striletchi; Adriana Cornelia Stan (SpeD, 2023)

An analysis on the effects of speaker embedding choice in non auto-regressive TTS. - Adriana Stan; Johannah O'Mahony (SSW, 2023)

Residual Information in Deep Speaker Embedding Architectures. - Adriana Stan (CoRR, 2023)

Towards generalisable and calibrated synthetic speech detection with self-supervised representations. - Dan Oneata; Adriana Stan; Octavian Pascu; Elisabeta Oneata; Horia Cucu (CoRR, 2023)

RoLEX: The development of an extended Romanian lexical dataset and its evaluation at predicting concurrent lexical information. - Beáta Lorincz; Elena Irimia; Adriana Stan; Verginica Barbu Mititelu (Nat. Lang. Eng., 2023)

Efficient Training Strategies for Natural Sounding Speech Synthesis and Speaker Adaptation Based on Fastpitch. - Teodora Ragman; Adriana Stan (ICCP, 2024)

Towards generalisable and calibrated audio deepfake detection with self-supervised representations. - Octavian Pascu; Adriana Stan; Dan Oneata; Elisabeta Oneata; Horia Cucu (INTERSPEECH, 2024)

TBDM-NET: Bidirectional Dense Networks with Gender Information for Speech Emotion Recognition. - Vlad Striletchi; Cosmin Striletchi; Adriana Stan (MLSP, 2024)

DeePen: Penetration Testing for Audio Deepfake Detection. - Nicolas M. Müller; Piotr Kawa; Adriana Stan; Thien-Phuc Doan; Souhwan Jung; Wei Herng Choong; Philip Sperl; Konstantin Böttinger (CoRR, 2025)

Replay Attacks Against Audio Deepfake Detection. - Nicolas M. Müller; Piotr Kawa; Wei Herng Choong; Adriana Stan; Aditya Tirumala Bukkapatnam; Karla Pizzi; Alexander Wagner; Philip Sperl (CoRR, 2025)