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| [59] | Gabriel Pîrlogeanu, Adriana Stan and Horia Cucu, Understanding the strengths and weaknesses of SSL models for audio deepfake model attribution, In Proceedings of ICASSP, 2026. |
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| [58] | David Combei, Adriana Stan, Dan Oneata, Nicolas Muller and Horia Cucu, Unmasking real-world audio deepfakes: A data-centric approach, In Proceedings of Interspeech, 2025. |
| [57] | Daniel Jimon, Mircea Vaida and Adriana Stan, ADNAC: Audio Denoiser using Neural Audio Codec, In Proceedings of 13th Conference on Speech Technology and Human-Computer Dialogue, 2025. |
| [56] | Nicolas Müller, Piotr Kawa, Wei-Herng Choong, Adriana Stan, Aditya Tirumala Bukkapatnam, Karla Pizzi, Alexander Wagner and Philip Sperl, Replay Attacks Against Audio Deepfake Detection, In Proceedings of Interspeech, 2025. |
| [55] | Teodora Răgman, Adrian Bogdan Stânea, Horia Cucu and Adriana Stan, How Open Is Open TTS? A Practical Evaluation of Open Source TTS Tools, In IEEE Access, volume 13, 2025. |
| [54] | Adriana Stan, David Combei, Dan Oneata, Nicolas Muller and Horia Cucu, TADA: Training-free Attribution and Out-of-Domain Detection of Audio Deepfakes, In Proceedings of Interspeech, 2025. |
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| [53] | David Combei, Adriana Stan, Dan Oneata and Horia Cucu, WavLM model ensemble for audio deepfake detection, In The Automatic Speaker Verification Spoofing Countermeasures Workshop (ASVspoof 2024), 2024. |
| [52] | Vlad Striletchi, Cosmin Striletchi and Adriana Stan, TBDM-Net: Bidirectional Dense Networks with Gender Information for Speech Emotion Recognition, In Proceedings of 2024 IEEE International Workshop on Machine Learning for Signal Processing, London, UK, 2024. |
| [51] | Octavian Pascu, Adriana Stan, Dan Oneata, Elisabeta Oneata and Horia Cucu, Towards generalisable and calibrated audio deepfake detection with self-supervised representations, In Proceedings of Interspeech, 2024. |
| [50] | Teodora Răgman and Adriana Stan, Efficient Training Strategies for Natural Sounding Speech Synthesis and Speaker Adaptation Based on Fastpitch, In 2024 IEEE 20th International Conference on Intelligent Computer Communication and Processing (ICCP), 2024. |
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| [49] | Samuel Rutunda, Kleber Kabanda and Adriana Stan, Kinyarwanda TTS: Using a multi-speaker dataset to build a Kinyarwanda TTS model, In 4th Workshop on African Natural Language Processing, ICLR, 2023. |
| [48] | Adriana Stan and Johannah O'Mahony, An analysis on the effects of speaker embedding choice in non auto-regressive TTS, In 12th ISCA Speech Synthesis Workshop (SSW2023), 2023. |
| [47] | Adrian Bogdan Stânea, Vlad Strilețchi, Cosmin Strilețchi and Adriana Stan, An analysis of large speech models-based representations for speech emotion recognition, In 2023 International Conference on Speech Technology and Human-Computer Dialogue (SpeD), 2023. |
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| [46] | Beáta Lőrincz, Elena Irimia, Adriana Stan and Verginica Barbu Mititelu, RoLEX: The development of an extended Romanian lexical dataset and its evaluation at predicting concurrent lexical information, In Natural Language Engineering, Cambridge University Press, 2022. |
| [45] | Adriana Stan, Residual Information in Deep Speaker Embedding Architectures, In Mathematics, volume 10, 2022. |
| [44] | Dan Oneață, Beáta Lőrincz, Adriana Stan and Horia Cucu, FlexLip: A Controllable Text-to-Lip System, In Special Issue Future Speech Interfaces with Sensors and Machine Intelligence, Sensors, MDPI, volume 22, 2022. |
| [43] | Adriana Stan, The ZevoMOS entry to VoiceMOS Challenge 2022, In Proc. Interspeech 2022, 2022. |
| [42] | Adriana Stan, Introducere în Python folosind Google Colab, UTPress, 2022. |
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| [41] | Adriana Stan and Beáta Lőrincz, Generating the Voice of the Interactive Virtual Assistant, Chapter in Virtual Assistants, IntechOpen, 2021. |
| [40] | Beáta Lőrincz, Adriana Stan and Mircea Giurgiu, Speaker verification-derived loss and data augmentation for DNN-based multispeaker speech synthesis, In 29th European Signal Processing Conference (EUSIPCO), 2021. |
| [39] | Dan Oneață, Adriana Stan and Horia Cucu, Speaker disentanglement in video-to-speech conversion, In 29th European Signal Processing Conference (EUSIPCO), 2021. |
| [38] | Stefan Daniel Dumitrescu, Petru Rebeja, Beáta Lőrincz, Mihaela Gaman, Andrei Avram, Mihai Ilie, Andrei Pruteanu, Adriana Stan, Lorena Rosia, Cristina Iacobescu, Luciana Morogan, George Dima, Gabriel Marchidan, Traian Rebedea, Mădălina Chitez, Dani Yogatama, Sebastian Ruder, Radu Tudor Ionescu, Răzvan Pașcanu and Viorica Pătrăucean, Liro: Benchmark and leaderboard for Romanian language tasks, In Proceedings of NeurIPS, 2021. |
| [37] | Dan Oneață, Alexandru Caranica, Adriana Stan and Horia Cucu, An Evaluation of Word-level Confidence Estimation for end-to-end Automatic Speech Recognition, In Proceedings of the 8th IEEE Spoken Language Technology Workshop (SLT 2021), 2021. |
| [36] | Georgiana Săracu and Adriana Stan, An analysis of the data efficiency in Tacotron2 speech synthesis system, In 2021 International Conference on Speech Technology and Human-Computer Dialogue (SpeD), 2021. |
| [35] | Adriana Stan, Beáta Lőrincz, Maria Nuțu and Mircea Giurgiu, The MARA corpus: Expressivity in end-to-end TTS systems using synthesised speech data, In Proceedings of SpeD, 2021. |
| [34] | Beáta Lőrincz, Adriana Stan and Mircea Giurgiu, An objective evaluation of the effects of recording conditions and speaker characteristics in multi-speaker deep neural speech synthesis, In Proceedings of 25th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, 2021. |
| [33] | Adriana Stan and Mircea Giurgiu, Prelucrarea semnalului vocal folosind Python, UTPress, 2021. |
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| [32] | Kristen Scott, Simone Ashby and Adriana Stan, Designing a Synthesized Content Feed System for Community Radio, In Proc. of NordICHI, 2020. |
| [31] | Adriana Stan, RECOApy: Data recording, pre-processing and phonetic transcription for end-to-end speech-based applications, In Proceedings of Interspeech, 2020. |
| [30] | Beáta Lőrincz, Maria Nuțu, Adriana Stan and Mircea Giurgiu, An Evaluation of Postfiltering for Deep Learning-based Speech Synthesis with Limited Data, In Proc. of 2020 IEEE 10th International Conference on Intelligent Systems, 2020. |
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| [29] | Beáta Lőrincz, Maria Nuţu and Adriana Stan, Romanian Part of Speech Tagging using LSTM Networks, In IEEE 15th International Conference on Intelligent Computer Communication and Processing (ICCP), 2019. |
| [28] | Maria Nuţu, Beáta Lőrincz and Adriana Stan, Deep Learning for Automatic Diacritics Restoration in Romanian, In IEEE 15th International Conference on Intelligent Computer Communication and Processing (ICCP), 2019. |
| [27] | Adriana Stan, Input Encoding for Sequence-to-Sequence Learning of Romanian Grapheme-to-Phoneme Conversion, In Proceedings of the 10th IEEE International Conference on Speech Technology and Human-Computer Dialogue (SpeD), 2019. |
| [26] | David A. Braude, Matthew P. Aylett, Caoimhin Laoide-Kemp, Simone Ashby, Kristen M. Scott, Brian O Raghallaigh, Anna Braudo, Alex Brouwer and Adriana Stan, All Together Now: The Living Audio Dataset, In Proceedings of Interspeech, 2019. |
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| [25] | Adriana Stan and Mircea Giurgiu, A Comparison Between Traditional Machine Learning Approaches And Deep Neural Networks For Text Processing In Romanian, In Proceedings of the 13th International Conference on Linguistic Resources and Tools for Processing Romanian Language (ConsILR), 2018. |
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| [24] | Stefan-Adrian Toma, Adriana Stan, Mihai-Lica Pura and Traian Barsan, MaRePhoR - An Open Access Machine-Readable Phonetic Dictionary for Romanian, In Proceedings of the 9th Conference on Speech Technology and Human-Computer Dialogue (SpeD), 2017. |
| [23] | Adriana Stan, Florina, Dinescu, Cristina Tiple, Serban Meza, Bogdan Orza, Magdalena Chirila and Mircea Giurgiu, The SWARA Speech Corpus: A Large Parallel Romanian Read Speech Dataset, In Proceedings of the 9th Conference on Speech Technology and Human-Computer Dialogue (SpeD), 2017. |
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| [22] | Adriana Stan, Yoshitaka Mamiya, Junichi Yamagishi, Peter Bell, Oliver Watts, Rob Clark and Simon King, ALISA: An automatic lightly supervised speech segmentation and alignment tool, In Computer Speech and Language, volume 35, 2016. |
| [21] | Alexandru Moldovan, Adriana Stan and Mircea Giurgiu, Improving Sentence-level Alignment of Speech with Imperfect Transcripts using Utterance Concatenation and VAD, In Proc. of IEEE ICCP, 2016. |
| [20] | Adriana Stan, Cassia Valentini-Botinhao, Bogdan Orza and Mircea Giurgiu, Blind Speech Segmentation using Spectrogram-image Based Features and Mel Cepstral Coefficients, In Proc. IEEE Workshop on Spoken Language Technology, 2016. |
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| [19] | Adriana Stan, Cassia Valentini-Botinhao, Mircea Giurgiu and Simon King, Phonetic Segmentation of Speech using STEP and t-SNE, In Proc. of the 8th International Conference on Speech Technology and Human-Computer Dialogue (SpeD), 2015. |
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| [18] | Tiberiu Boros, Adriana Stan, Oliver Watts and Stefan Daniel Dumitrescu, RSS-TOBI - A Prosodically Enhanced Romanian Speech Corpus, In Proc. The 9th edition of the Language Resources and Evaluation Conference, 2014. |
| [17] | O. Watts, S. Gangireddy, J. Yamagishi, S. King, S. Renals, A. Stan and M. Giurgiu, Neural Net Word Representations for Phrase-Break Prediction Without a Part of Speech Tagger, In Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2014. |
| [16] | Jószef Domokos, Adriana Stan and Mircea Giurgiu, An Approach to Lexical Stress Detection from Transcribed Continuous Speech Using Acoustic Features, In Proc. 22nd Telecommunications Forum, 2014. |
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| [15] | Yoshitaka Mamiya, Junichi Yamagishi, Oliver Watts, Robert A.J. Clark, Simon King and Adriana Stan, Lightly Supervised GMM VAD to use Audiobook for Speech Synthesiser, In Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2013. |
| [14] | Ioana Muresan, Adriana Stan, Mircea Giurgiu and Rodica Potolea, Evaluation of Sentiment Polarity Prediction using a Dimensional and a Categorical Approach, In Proc. SPED, 2013. |
| [13] | Adriana Stan, Peter Bell, Junichi Yamagishi and Simon King, Lightly Supervised Discriminative Training of Grapheme Models for Improved Sentence-level Alignment of Speech and Text Data, In Proc. Interspeech, 2013. |
| [12] | Y. Mamiya, A. Stan, J. Yamagishi, P. Bell, O. Watts, R.A.J. Clark and S. King, Using Adaptation to Improve Speech Transcription Alignment in Noisy and Reverberant Environments, In Proc. 8th ISCA Speech Synthesis Workshop, 2013. |
| [11] | A. Stan, O. Watts, Y. Mamiya, M. Giurgiu, R. A. J. Clark, J. Yamagishi and S. King, TUNDRA: A Multilingual Corpus of Found Data for TTS Research Created with Light Supervision, In Proc. Interspeech, 2013. |
| [10] | O. Watts, A. Stan, R. Clark, Y. Mamiya, M. Giurgiu, J. Yamagishi and S. King, Unsupervised and lightly-supervised learning for rapid construction of TTS systems in multiple languages from ‘found’ data: evaluation and analysis, In Proc. 8th ISCA Speech Synthesis Workshop, 2013. |
| [9] | O. Watts, A. Stan, Y. Mamiya, A. Suni, M. Burgos and J.M. Montero, The Simple4All entry to the Blizzard Challenge 2013, In Proc. Blizzard Challenge, 2013. |
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| [8] | Adriana Stan, Peter Bell and Simon King, A Grapheme-based Method for Automatic Alignment of Speech and Text Data, In Proc. IEEE Workshop on Spoken Language Technology, 2012. |
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| [7] | Adriana Stan, Florin-Claudiu Pop, Marcel Cremene, Mircea Giurgiu and Denis Pallez, Interactive Intonation Optimisation Using CMA-ES and DCT Parametrisation of the F0 Contour for Speech Synthesis, In Proceedings of the 5th Workshop on Nature Inspired Cooperative Strategies for Optimisation, Springer, volume 387, 2011. |
| [6] | Adriana Stan and Mircea Giurgiu, A Superpositional Model Applied to F0 Parametrisation using DCT for Text-to-Speech Synthesis, In Proceedings of the 6th Conference on Speech Technology and Human-Computer Dialogue, 2011. |
| [5] | Adriana Stan, Junichi Yamagishi, Simon King and Matthew Aylett, The Romanian speech synthesis (RSS) corpus: Building a high quality HMM-based speech synthesis system using a high sampling rate, In Speech Communication, volume 53, 2011, . |
| [4] | Adriana Stan, Romanian HMM-based Text-to-Speech Synthesis with Interactive Intonation Optimisation, PhD thesis, Technical University of Cluj-Napoca, 2011. |
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| [3] | Adriana Stan and Mircea Giurgiu, Romanian language statistics and resources for text-to-speech systems, In Proceedings of the 9th Edition of the International Symposium on Electronics and Telecommunications, 2010. |
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| [2] | Adriana Stan, Linear Interpolation of Spectrotemporal Excitation Pattern Representations for Automatic Speech Recognition in the Presence of Noise, In Proceedings of the 5th Conference on Speech Technology and Human-Computer Dialogue, 2009. |
|
| [1] | Adriana Stan, A Study on the Performances of CELP Speech Coding at Low Bit Rates, In Novice Insights, 2007. |
Professor at Technical University of Cluj-Napoca, Romania
Google Scholar
LinkedIn
Distributed Ledger Technologies Implementation in Internal Organizational Workflows and Support Applications for Cooperation among National Security Institutions
EU Horizon "AI4Trust" (no. 101070190)
Cadrul strategic național în domeniul inteligenței artificiale
SINTERO: Tehnologii de realizare a interfețelor om-mașină pentru sinteza text-vorbire cu expresivitate
SWARA: Mobile System for Rehabilitative Vocal Assistance of Surgical Aphonia
SIMPLE4ALL: Speech Synthesis that Improves through Adaptive Learning
RECOApy
Prompted speech recording app
ALISA
Automatic lightly supervised speech segmentation and alignment tool
Romanian TTS System
Online Romanian text-to-speech
RoLEX
Extended Romanian lexical dataset
SWARA Corpus
Large parallel Romanian read speech dataset
Romanian Speech Synthesis Corpus
High quality Romanian TTS recordings
Tundra Corpus
Multilingual corpus of found data for TTS research
MaRePhor Lexicon
Machine-readable phonetic dictionary for Romanian
Mara Corpus
Cartea Sonoră – expressive TTS corpus