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Adam: A Method for Stochastic Optimization

Kingma, D. P., & Ba, J. (2014) · arXiv · doi:10.48550/arxiv.1412.6980 · Cited by 98,946

WaveNet: a generative model for raw audio

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Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions

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Variational Inference with Normalizing FlowsPreprint

Rezende, D. J., & Mohamed, S. (2015) · arXiv (Cornell University) · doi:10.48550/arxiv.1505.05770 · Cited by 2,583

Signal estimation from modified short-time Fourier transform

Griffin, D. W., & Lim, J. S. (1984) · IEEE Transactions on Acoustics Speech and Signal Processing · doi:10.1109/tassp.1984.1164317 · Cited by 2,085

Density estimation using Real NVP

Dinh, L., Sohl-Dickstein, J., & Bengio, S. (2016) · arXiv · Cited by 2,067

Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural NetworksPreprint

Salimans, T., & Kingma, D. P. (2016) · arXiv (Cornell University) · doi:10.48550/arxiv.1602.07868 · Cited by 1,551

NICE: Non-linear Independent Components Estimation

Dinh, L., Krueger, D., & Bengio, Y. (2014) · arXiv · doi:10.48550/arxiv.1410.8516 · Cited by 1,493

Improving Variational Inference with Inverse Autoregressive FlowPreprint

Kingma, D., Salimans, T., Józefowicz, R., Chen, X., Sutskever, I., & Welling, M. (2016) · arXiv (Cornell University) · doi:10.48550/arxiv.1606.04934 · Cited by 1,168

Image transformer

Parmar, N., Vaswani, A., Uszkoreit, J., Kaiser, Ł., Shazeer, N., Ku, A., & Tran, D. (2018) · arXiv · doi:10.48550/arxiv.1802.05751 · Cited by 1,085

Curriculum Learning Based Approach for Faster Convergence of TTS Model

Kaur, N., & Ghosh, P. K. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-48312-7_17

CLTTS: A Cooperative Learning Strategy for Non-Autoregressive Text-to-SpeechPreprint

Zhao, W. (2023) · doi:10.36227/techrxiv.24572962

CLTTS: A Cooperative Learning Strategy for Non-Autoregressive Text-to-SpeechPreprint

Zhao, W. (2023) · doi:10.36227/techrxiv.24572962.v1

Study of Voice Generation Method Suitable for Characters based on Human Cognitive Characteristics

Saito, S., Ooi, S., & Sano, M. (2024) · International Conference on Artificial Intelligence and Big Data (AIBD) · doi:10.5121/csit.2024.140416

A Voice Cloning Model for Rhythm and Content De-Entanglement

王, 萌. (2024) · Artificial Intelligence and Robotics Research · doi:10.12677/airr.2024.131018

Improvements of Silent Speech Interface Algorithms

Shandiz, A. H. (2024) · doi:10.14232/phd.11818

Improvement on sound quality of optical-body-conducted speech using convolutional neural network

Kawamoto, D., & Nakayama, M. (2024) · Transactions of the JSME (in Japanese) · doi:10.1299/transjsme.23-00304

Refining the Evaluation of Speech SynthesisPreprint

Perrotin, O., Stephenson, B., Gerber, S., Bailly, G., & King, S. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4870649

End-to-End Text-to-Speech Systems in Arabic: A Comparative Study

Alrige, M., Almatrafi, O., Alharbey, R., Alotaibi, M., Almarri, M., & Alghamdi, L. (2024) · International Symposium on Signal, Image, Video and Communications (ISIVC) · doi:10.1109/isivc61350.2024.10623342

Nepali Text-to-Speech Synthesis Using Tacotron2 and WaveGlow

Rai, A., Shiwakoti, S., Basukala, S., & Dahal, S. S. (2024) · KEC Journal of Science and Engineering · doi:10.3126/kjse.v8i1.69276

Generative Spoken Language Modeling with Quantized Feature Enhancement

Duan, F., Li, C., Wang, K., Wu, S., Yin, C., & Rong, W. (2024) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn60899.2024.10651390

A Deep Learning Approach for Arabic Spoken Command Spotting

Salhab, M., & HARMANANI, H. M. (2024) · Conference proceedings - Canadian Conference on Electrical and Computer Engineering · doi:10.1109/ccece59415.2024.10667309

Non-Causal to Causal SSL-Supported Transfer Learning: Towards A High-Performance Low-Latency Speech Vocoder

Shi, R., Bär, A., Sach, M., Tirry, W., & Fingscheidt, T. (2024) · International Workshop on Acoustic Signal Enhancement · doi:10.1109/iwaenc61483.2024.10694644

Convolutional Neural Networks in the Domain of Non-Lexical Audio Signals

Johnson, V. (2024) · doi:10.12794/metadc2356129

Efficient Algorithms for Deepfake Audio Detection based on LCNN

Lim, D.-H., & Han, J.-K. (2024) · Journal of Broadcast Engineering · doi:10.5909/jbe.2024.29.5.713

DiffTimb: Diffusion Models for Many-to-Many Timbre Transfer

Gan, X., Wu, Y., Liu, X., Duan, R., & Li, W. (2024) · Lecture notes in electrical engineering · doi:10.1007/978-981-97-7962-8_10

Research on a New Speech Synthesis Fraud Method

Zhang, H., Li, Y., Kui, S., & Qin, Z. (2024) · International Conference on Intelligent Computing and Signal Processing (ICSP) · doi:10.1109/icsp62122.2024.10743554

SWave: Improving Vocoder Efficiency by Straightening the Waveform Generation Path

Liu, P., Zhou, J., Tian, X., & Lin, Z. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-78172-8_26

FCHiFi-GAN: Aggrandizing Fast Convergence with Batchwise Normalization

Purohit, R. M., Srivastava, A., & Patil, H. A. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-78119-3_25

ESTVocoder: An Excitation-Spectral-Transformed Neural Vocoder Conditioned on Mel Spectrogram

Jiang, X.-H., Du, H.-P., Ai, Y., Lu, Y.-X., & Ling, Z.-H. (2024) · Communications in computer and information science · doi:10.1007/978-981-96-1045-7_10

Flexible Tails for Normalising Flows, with Application to the Modelling of Financial Return Data

Hickling, T., & Prangle, D. (2024) · Communications in computer and information science · doi:10.1007/978-3-031-74643-7_27

Emotion-Coherent Speech Data Augmentation And Self-Supervised Contrastive Style Training For Enhancing Kids’s Story Speech Synthesis

Chung, R. (2024) · IEEE Spoken Language Technology Workshop (SLT) · doi:10.1109/slt61566.2024.10832287

Towards Efficient and High-Fidelity Neural Vocoder through Wave Outlooker Network

Li, Y., & Wang, C. (2024) · International Conference on Electronics, Computers and Communication Technology (CECCT) · doi:10.1145/3705754.3705791

PPHiFi-TTS: Phonetic Preserved High-Fidelity Text-to-Speech for Long-Term Speech Dependencies

Purohit, R. M., Vaghera, D. H., Shah, A. J., & Patil, H. A. (2024) · Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) · doi:10.1109/apsipaasc63619.2025.10848687

High-Quality Text-to-Speech Implementation via Active Shallow Diffusion Mechanism

Deng, J., Hou, R., Deng, Y., Long, Y., & Wu, N. (2025) · Sensors · doi:10.3390/s25030833 · Cited by 1

Investigating F0 Estimation in Speech Synthesis from Real-time MRI Articulatory Data

Otani, Y., Sawada, S., Ohmura, H., & Katsurada, K. (2025) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp49660.2025.10890069

RE-VC: Robust Zero-Shot Voice Conversion Model for Realistic Environments

Ho, L., Hao, D., Nguyen, M., & Chau, D. (2025) · Communications in computer and information science · doi:10.1007/978-981-96-5881-7_22

MixDiff-TTS: Mixture Alignment and Diffusion Model for Text-to-Speech

Long, Y., Yang, K., Ma, Y., & Yang, Y. (2025) · Applied Sciences · doi:10.3390/app15094810 · Cited by 2

A Two-Stage Neural Network for Speech Signal Reconstruction from Mel Spectrograms

Villani, F., Scarpiniti, M., & Uncini, A. (2025) · Smart innovation, systems and technologies · doi:10.1007/978-981-96-0994-9_25

Color reconstruction of ancient paintings based on dual pooling attention and pixel adaptive convolution

Sun, Z., Zhang, Z., & Wu, X. (2025) · npj Heritage Science · doi:10.1038/s40494-025-01595-0

A Method of Augmentation Mongolian Pronunciation Rhythm by Integrating Emotions

Ma, Z., Guo, S., Sun, J., Qin, Y., Wang, Z., & Liu, J. (2024) · Asian Conference on Artificial Intelligence Technology (ACAIT) · doi:10.1109/acait63902.2024.11021955

Gamma-von-Mises restricted Boltzmann machine and its application to audio modeling

Nakashika, T., & Yatabe, K. (2025) · Nippon Onkyo Gakkaishi/Acoustical science and technology/Nihon Onkyo Gakkaishi · doi:10.1250/ast.e24.95

IterVocoder: Fast High-Fidelity Speech Synthesis via GAN-Guided Iterative RefinementPreprint

Bennett, L., Marwood, E., & Thompson, A. (2025) · Preprints.org · doi:10.20944/preprints202506.2168.v1

Cross-domain redundancy exploration by a deep encoder–decoder network for speech steganography

Ge, X., Zhang, X., Sun, M., Wang, Y., Li, L., & SongGong, K. (2025) · Journal of Information Security and Applications · doi:10.1016/j.jisa.2025.104150

RingFormer: A Neural Vocoder With Ring Attention and Convolution-Augmented Transformer

Hong, S., & Choi, Y. (2025) · IEEE Transactions on Human-Machine Systems · doi:10.1109/thms.2025.3591502

Distilling Normalizing Flows

Walton, S., Klyukin, V., Артемьев, М., Деркач, Д., Orlov, N., & Shi, H. (2025) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw67362.2025.00316

A speech prediction model based on codec modeling and transformer decoding

Wang, H., Yang, Y., & Wang, D. (2025) · Computer Speech & Language · doi:10.1016/j.csl.2025.101892

ALDEN: Dual-Level Disentanglement with Meta-learning for Generalizable Audio Deepfake Detection

Xu, Y., Li, B., Li, W., Mandelli, S., Negroni, V., & Li, S. (2025) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3746027.3754741

Impact of neural-vocoder–generated spoofed speech on spoofing-detection performance

Park, S., & Kwak, I. (2025) · Korean Journal of Applied Statistics · doi:10.5351/kjas.2025.38.5.679

LatentSpeech: Latent Diffusion for Text-To-Speech Generation

Lou, H., Paik, H.-Y., Haghighi, P. D., Li, S., Hu, W., & Yao, L. (2025) · IEEE RO-MAN · doi:10.1109/ro-man63969.2025.11217842

Do End-to-End TTS Systems Exploit Patterns in Speech?

Khadse, P. S., & Kopparapu, S. K. (2025) · Lecture notes in computer science · doi:10.1007/978-981-95-4395-3_7

Malayalam Text-to-Speech Synthesis Using Tacotron2 and Neural Vocoders

Sandra, V., & Bhooshan, R. S. (2025) · International Conference on Smart Computing and Communications (ICSCC) · doi:10.1109/icscc66177.2025.11233497

A Distilled Low-Latency Neural Vocoder with Explicit Amplitude and Phase Prediction

Du, H.-P., Ai, Y., & Ling, Z.-H. (2025) · Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) · doi:10.1109/apsipaasc65261.2025.11249381

BAANI: A 296M-Parameter Neural Vocoder for End-To-End Punjabi Speech Synthesis

Kumar, S., Trivedi, N., Purohit, R. M., & Patil, H. A. (2025) · Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) · doi:10.1109/apsipaasc65261.2025.11249045

VAE-SiFiGAN: Source-Filter HiFi-GAN Based on Variational Autoencoder Representations with Enhanced Pitch Controllability

Ogita, K., Yoneyama, R., Huang, W.-C., & Toda, T. (2025) · European Signal Processing Conference (EUSIPCO) · doi:10.23919/eusipco63237.2025.11226579

Reconstructing the Sound at the Edge: A Low-Latency Framework for NMP with Autotuned Local Synthesis

Borgianni, L., Bua, C., Adami, D., & Giordano, S. (2025) · IEEE International Symposium on the Internet of Sounds (IS2) · doi:10.1109/is264627.2025.11284618

Benchmarking Wav2Vec and Traditional Speech Recognition in Speech Transcription

Shehu, O., Teliti, D., Kevrić, J., Jukić, S., & Karlık, B. (2025) · International Conference on Communications, Information, Electronic and Energy Systems (CIEES) · doi:10.1109/ciees66347.2025.11300248

Real-Time and High-Fidelity Text-to-Speech Synthesis using Tacotron 2 and HiFi-GAN

Shaikh, A., Malpani, G., Kerwadkar, S., Chikkamath, S., & Amith, T. (2025) · International Conference on Intelligent Systems and Pioneering Innovations in Robotics and Electric Mobility (INSPIRE) · doi:10.1109/inspire67328.2025.11300654

MambaVoc: State Space Models for High-Fidelity Audio Synthesis

Zhang, B., Yu, X., Ye, J., Wang, C., Zhu, P., Zhao, J., Jiang, Z., & Chen, Y. (2026) · Communications in computer and information science · doi:10.1007/978-981-95-5382-2_6

AirSpeech: Lightweight Speech Synthesis Framework for Home Intelligent Space Service Robots

Qin, X., Pan, F., Gao, J., Huang, S., Sun, Y., & Zhong, X. (2026) · Electronics · doi:10.3390/electronics15010239

SpeechR2Flow: Generalized Reparameterized Flow Matching with Adversarial Pre-training for Extreme-Distortion Speech RestorationPreprint

Gao, M., Zhang, X., & Xiang, X. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6035787

In-depth survey of the technologies to combat disinformation

Rodríguez-González, L. I., Arias-González, M., Armenteros-Cosme, P., Mateos-Plaza, S., & Hernández, J. C. (2025) · IEEE International Conference on Frontiers Technology of Information and Computer (ICFTIC) · doi:10.1109/icftic68075.2025.11324595

Routing-Oblivious and Data-Efficient Network Tomography With Flow-Based Generative Model

Qiao, Y., Li, M., Yuan, X., Wu, K., Feng, C., Li, M., & Xie, K. (2026) · IEEE Transactions on Networking · doi:10.1109/ton.2026.3665293

ClearFlow: Deep Learning-Based Fluency Enhancer for Stuttered Speech

Suketha, Vrinda, U., Thejaswini, K., Hegde, B., & Rai, K. (2025) · International Conference on Computing, Semiconductor, Mechatronics, Intelligent Systems and Communications (COSMIC) · doi:10.1109/cosmic67569.2025.11380940

Quality Improvement of Low-Resourced Bahasa Indonesia Expressive Speech Synthesis Using Cross-Lingual Transfer Learning and Tacotron2

Anggrayni, E., Prasetyo, A. D., & Arifianto, D. (2025) · International Conference on Speech Database and Assessments · doi:10.1109/o-cocosda68185.2025.11385117

On the Reliability of Likelihoods From Conditional Flow Matching Generative Models Trained in Feature Space

Josias, S., & Brink, W. (2026) · IET Computer Vision · doi:10.1049/cvi2.70061

Diffusion-Based Brain-to-Speech Synthesis: Decoding Intracranial EEG into Natural Speech

Akaaboune, F. E., & Al-Radhi, M. S. (2026) · Journal of Physics Conference Series · doi:10.1088/1742-6596/3190/1/012008

Comparative Analysis of Text-to-Speech Synthesis Systems

Kukreja, D., Tandon, A., Mehta, D., Bhatt, S., & Garg, G. (2025) · International Conference on Artificial Intelligence and Speech Technology (AIST) · doi:10.1109/aist68591.2025.11441499

A closer look at internal representations of end-to-end Text-to-Speech models: How is phonetic and acoustic information encoded?

Lenglet, M., Perrotin, O., & Bailly, G. (2026) · Computer Speech & Language · doi:10.1016/j.csl.2026.101985 · Cited by 4

Enhancing In-the-Wild Speech Emotion Conversion with Resynthesis-based Duration Modeling

Prabhu, N. R., de Oliveira, D., Lehmann‐Willenbrock, N., & Gerkmann, T. (2025) · IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU) · doi:10.1109/asru65441.2025.11434687

Intégration de Savoir Expert dans les Modèles Génératifs : Application à la Génération Musicale

Rivaud, S. (2020) · theses.fr (ABES) · doi:10.70675/ebde687cz5636z4e96z87c1z1d743f18dbd3

Optimization of fast deep learning models for audio analysis and synthesis

Défossez, A. (2020) · theses.fr (ABES) · doi:10.70675/f13821dazc8c7z433fzae1bzb0567d67ee8f

Analysis and synthesis of urban sound scenes using deep learning techniques

Gontier, F. (2020) · theses.fr (ABES) · doi:10.70675/b3ca4067zb65az44bdzb851z6f627675aa58

Meaningful audio synthesis and musical interactions by representation learning of sound sample databases

Bitton, A. (2021) · theses.fr (ABES) · doi:10.70675/8c6172a2z19c4z4a60z9bffz9af76d821b8a

On the Environmental Impact of Deep Generative Models for Audio

Douwes, C. (2023) · theses.fr (ABES) · doi:10.70675/84467912z7921z40cdzbf8fzb74debc43d64

Implicit and explicit phase modeling in deep learning-based source separation

Pariente, M. (2021) · theses.fr (ABES) · doi:10.70675/e2380941z1417z46d3z9a80z147c8b5f83b2

A neural voice transformation framework for modification of pitch and intensity

Bous, F. (2023) · doi:10.70675/5a1b2884z903dz4b97z8073z7614dbb58847

Hierarchical temporal learning for multi-instrument and orchestral audio synthesis

Caillon, A. (2023) · theses.fr (ABES) · doi:10.70675/749064bdzd893z49b3za0fczb85cacee55d0

Expressivity transfer in deep learning based text-to-speech synthesis

Kulkarni, A. (2022) · theses.fr (ABES) · doi:10.70675/b44b847azf274z4851za996z397c3d49ca73

Structured Prediction with Output Regularization : Improving Statistical and Computational Efficiency

Motte, L. (2023) · theses.fr (ABES) · doi:10.70675/595e525cz7a00z418czabf6z5eceb5531b7d

Quality and Diversity in Generative Models through the lens of f-divergences

Vérine, A. (2024) · theses.fr (ABES) · doi:10.70675/36e5bb7cz8351z4ba7z8fffzcc9523acc864

Neural audio synthesis of realistic piano performances

Renault, L. (2024) · doi:10.70675/e54bcaa5zbd4az4f6ez9d60z09d6f5642acc

Spoken Language Modeling from Raw Audio

Nguyen, T. A. (2024) · theses.fr (ABES) · doi:10.70675/e81cb131z2de8z4c0fz86f5zd983c6cb8744

Deep Supervision of the Vocal Tract Shape for Articulatory Synthesis of Speech

Ribeiro, V. (2023) · theses.fr (ABES) · doi:10.70675/32fb3a74z320dz4f6aza740z06c496c14b41

Synapsen aus Sprache

Grasnick, A. (2026) · Springer eBooks · doi:10.1007/978-3-658-47898-8_14-1

Spectral Diffusion Vocoder for High-Fidelity Pitch-Accurate Singing Voice Synthesis

Yang, R., Li, K., & Hu, X. (2026) · IEEE Transactions on Audio Speech and Language Processing · doi:10.1109/taslpro.2026.3685871

Prosody-Guided Harmonic Attention for Phase-Coherent Neural Vocoding in the Complex Spectrum

Al-Radhi, M. S., Larbi, R., Bartalis, M., & Németh, G. (2026) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp55912.2026.11461026

Combining Multi-Order Attention and Multi-Resolution Discriminator for High-Fidelity Neural Vocoder

Shi, Y., Shi, J., Chen, M., Zhuang, Z., Qi, P., Wang, S., & Xia, J. (2026) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp55912.2026.11464205

Russian-language voice datasets: a comparative analysis for audio deepfake detection tasks

Palkin, I., & Ruchay, A. N. (2026) · Computational Mathematics and Modeling · doi:10.1007/s10598-026-09701-y

Learning Vocal-Tract Area And Radiation With A Physics-Informed Webster Model

Lu, M., & Reiss, J. D. (2026) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp55912.2026.11460533

Deep multimodal fusion for aquaculture: a comprehensive review

Li, D., Ji, S., Xu, W., Du, Z., Liu, S., Li, X., & Wang, G. (2026) · Aquaculture International · doi:10.1007/s10499-026-02539-6

Restoration of Acoustic Identity via Artificial Intelligence-Driven Neural Voice Conversion for Total Laryngectomy Patients: A Technical Framework for Biometric Security and Social Inclusion

Girgin, M. C., Can, Ç., Girgin, P. O., & Ozer, B. S. (2026) · Cureus · doi:10.7759/cureus.107953

NeuroSpeechNet: Hierarchical Attention-Enhanced EEG-to-Speech Synthesis via Deep Neural Mapping

Prof. Hanumanthappa, H., Biradar, V. G., & Arakeri, M. P. (2026) · International Conference on Next-Gen Quantum and Advanced Computing: Algorithms, Security, and Beyond (NQComp) · doi:10.1109/nqcomp68334.2026.11497754

Review of Automatic Text-to-Speech Synthesis Methods

O’Shaughnessy, D. D. (2026) · IEEE Transactions on Audio Speech and Language Processing · doi:10.1109/taslpro.2026.3693972

TriFusion-3M: A Tri-Modal Dataset with Semantic Speech Synthesis and Granularity-Aware Textual Hard Negatives for Visual Dialogue

Yang, Y., Chen, Y., Xiong, S., & Ning, H. (2025) · Asian Conference on Artificial Intelligence Technology (ACAIT) · doi:10.1109/acait67930.2025.11521951

A Non-autoregressive based Multi-role Speech Synthesis Method

DingYun-tao (2026) · doi:10.1109/icnlp69856.2026.11527895

VOICY: A Privacy-Centric Modular Architecture for Zero-Shot Voice Cloning and Fine-Tuned Speech Synthesis

Pokhrel, K., Sanín, C., Sakib, M. K. H., & Szczerbicki, E. (2026) · International World Wide Web Conference (WWW) · doi:10.1145/3774905.3795605

Real-Time Multimodal Sign Language to Speech Translation System

Reddy, B. R. S., Ganesh, D., Abdulla, G. S. M., Nandini, G. V., Satish, G. R., & Rakesh, G. C. (2026) · International Conference Big Data and Machine Learning · doi:10.1109/icbdml68582.2026.11544458

Aliasing-Free Neural Audio Synthesis

Gu, Y., Zhang, J. S., Wang, C., Li, J., Wu, Z., & Juvela, L. (2026) · IEEE Transactions on Audio Speech and Language Processing · doi:10.1109/taslpro.2026.3706011

An Interactive Audio-Driven Framework for Semantic Image Captioning, Question Generation, and Visual Question Answering for the Visually Impaired

Bakiyalakshmi, S., & Devaki, K. (2026) · International Conference on Computational Robotics, Testing and Engineering Evaluation (ICCRTEE) · doi:10.1109/iccrtee68719.2026.11566398

Audio Generation

Bai, J., Liu, H. D., Su, Y., & Geng, H. (2026) · Springer eBooks · doi:10.1007/978-981-95-0836-5_14

Cyberoszustwo z wykorzystaniem nowoczesnych technologii: zagrożenia i prawne aspekty przeciwdziałania

Golonka, A. D. (2026) · Ruch Prawniczy Ekonomiczny i Socjologiczny · doi:10.14746/rpeis.2026.88.2.08

EmoSay: Artificial Intelligence-Driven Text-to-Emotional-Speech System for Affective Communication in Extended Reality

Adewale, S., Ubur, S. D., Chandrashekar, N. D., Emebo, O., & Gračanin, D. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-31421-5_1

SpeechShield: Latency-Efficient and Robust Timbre-Aware Voice Protection Against Speech Synthesis Deepfake Attacks

Liu, J. R., Dong, S., Li, H., Gao, C., Shin, K. G., Wang, H., Ren, Y., & Sun, L. (2026) · International Conference on Dependable Systems & Networks/Proceedings · doi:10.1109/dsn69566.2026.00037

UnVC: Protecting Your Voiceprint by Generative Adversarial Speech

Sun, Z., Huang, Y., Ren, Y., Wang, Z., & Liu, W. (2026) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2026.3714126

BaySurf-SANF: Bayesian Surface Reconstruction Using Self-Attention and Normalizing Flows

Ma, X., Laga, H., & Srivastava, A. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-31920-3_36

From VoiceFlow to VoiceFlow++: Stochastic Duration and GAN Refinement for High-Quality TTS

Wang, Q., Yang, F., & Xu, Y. (2026) · International Conference on Artificial Intelligence and Big Data (ICAIBD) · doi:10.1109/icaibd69640.2026.11637358

Diffusion models in deep generative learning: a unified review of theories, architectures, and applications

Kohli, C., Chug, A., & Singh, A. P. (2026) · International Journal of Data Science and Analytics · doi:10.1007/s41060-026-01257-9

Non-Parallel Dysarthric Speech Enhancement Using CycleGAN-VC2 and Melgan with Ablation Validation

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