Speaker recognition based on deep learning: An overview

Deep Residual Learning for Image Recognition

He, K., Zhang, X., Ren, S., & Sun, J. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.90 · Cited by 235,474

Attention Is All You Need

Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, L., & Polosukhin, I. (2017) · arXiv · doi:10.48550/arxiv.1706.03762 · Cited by 120,404

Unpaired image-to-image translation using cycle-consistent adversarial networks

Zhu, J.-Y., Park, T., Isola, P., & Efros, A. A. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2017.244 · Cited by 23,602

FaceNet: A unified embedding for face recognition and clustering

Schroff, F., Kalenichenko, D., & Philbin, J. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2015.7298682 · Cited by 15,267

Advances in Neural Information Processing Systems 29

Teymur, O., Zygalakis, K., & Calderhead, B. (2016) · Cited by 13,881

ArcFace: Additive Angular Margin Loss for Deep Face Recognition

Deng, J., Guo, J., Xue, N., & Zafeiriou, S. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2019.00482 · Cited by 7,781

Prototypical Networks for Few-shot LearningPreprint

Snell, J., Swersky, K., & Zemel, R. S. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1703.05175 · Cited by 6,245

“Librispeech: an ASR corpus based on public domain audio books,”

Panayotov, V., Chen, G., Povey, D., & Khudanpur, S. (2015) · 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) · doi:10.1109/icassp.2015.7178964 · Cited by 6,072

Unsupervised Domain Adaptation by BackpropagationPreprint

Ganin, Y., & Lempitsky, V. (2014) · arXiv (Cornell University) · doi:10.48550/arxiv.1409.7495 · Cited by 5,441

Adversarial Discriminative Domain Adaptation

Tzeng, E., Hoffman, J., Saenko, K., & Darrell, T. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2017.316 · Cited by 5,154

C-P Map: A Novel Evaluation Toolkit for Speaker Verification

Li, L., Wang, D., Du, W., & Wang, D. (2022) · The Speaker and Language Recognition Workshop (Odyssey) · doi:10.21437/odyssey.2022-43 · Cited by 3

Towards an Interpretable Representation of Speaker Identity via Perceptual Voice Qualities

Netzorg, R., Yu, B., Guzman, A., Wu, P., McNulty, L., & Anumanchipalli, G. K. (2024) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp48485.2024.10446197 · Cited by 3

Contrastive Speaker Representation Learning with Hard Negative Sampling for Speaker Recognition

Go, C., Lee, Y. H., Kim, T., Park, N. I., & Chun, C. (2024) · Sensors · doi:10.3390/s24196213 · Cited by 2

Leveraging laryngograph data for robust voicing detection in speech

Zhang, Y., Wang, H., & Wang, D. (2024) · The Journal of the Acoustical Society of America · doi:10.1121/10.0034445 · Cited by 2

Joint Voice Activity Detection and Quality Estimation for Efficient Speech Preprocessing

Khmelev, N., Anikin, A., Zorkina, A., Korenevskaya, A., Novoselov, S., Malykh, S., Volokhov, V., Marchevskiy, V., Volkova, M., & Lavrentyeva, G. (2025) · International Conference on Digital Signal Processing and its Applications (DSPA) · doi:10.1109/dspa64310.2025.10977856 · Cited by 2

A Framework for Robust Speaker Verification in Highly Noisy Environments Leveraging Both Noisy and Enhanced Audio

Katav, A., Moshe, Y., & Cohen, I. (2025) · European Signal Processing Conference (EUSIPCO) · doi:10.23919/eusipco63237.2025.11226545 · Cited by 2

Feature extraction and classification technique based speaker identification system of Indian regional accent

Singh, M. K., Ranjan, R., Nandan, D., Kumar, S., Narla, V. L., & Suresh, G. (2026) · Franklin Open · doi:10.1016/j.fraope.2026.100623 · Cited by 2

Lambda-vector modeling temporal and channel interactions for text-independent speaker verification

Wei, G., Min, H., Xu, Y., & Zhang, Y. (2022) · Scientific Reports · doi:10.1038/s41598-022-22977-5 · Cited by 2

Deep learning model for speech emotion classification based on GCI and GOI detection

Vernekar, O., Nirmala, S. R., & Chachadi, K. (2023) · OPJU International Technology Conference on Smart Computing for Innovation and Advancement in Industry (OTCON) · doi:10.1109/otcon56053.2023.10114027 · Cited by 2

Sinc‐attention feature extraction for trivial‐event based speaker verification

Li, L., Li, J., Wang, D., Wang, X., & Qiao, S. (2023) · Electronics Letters · doi:10.1049/ell2.12812 · Cited by 2

Evaluating the Efficacy of Traditional Machine Learning Models in Speaker Recognition: A Comparative Study Using the LibriSpeech Dataset

Airlangga, G. (2024) · Brilliance Research of Artificial Intelligence · doi:10.47709/brilliance.v3i2.3488 · Cited by 2

Multi-View Speaker Embedding Learning for Enhanced Stability and Discriminability

He, L. J., Fang, Z., Chen, Z., Xu, M., Meng, Y. J., & Wang, P. (2024) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp48485.2024.10448494 · Cited by 2

Designing a Tabletop SAR as an Advanced HRI Experimentation Platform

Maheux, M.-A., Létourneau, D., Warren, P., Panchea, A. M., Robillard, J. M., & Michaud, F. (2024) · doi:10.1145/3648536.3648538 · Cited by 2

Recurrence plot embeddings as short segment nonlinear features for multimodal speaker identification using air, bone and throat microphones

Khadar Nawas, K., Shahina, A., Balachandar, K., Maadeshwaran, P., Devanathan, N. G., Kumar, N., & Khan, A. N. (2024) · Scientific Reports · doi:10.1038/s41598-024-62406-3 · Cited by 3

Robustness study of speaker recognition based on ECAPA-TDNN-CIFG

Wang, C., Xu, L., Zhu, H., & Cheng, X. (2024) · Journal of Computational Methods in Sciences and Engineering · doi:10.3233/jcm-247581 · Cited by 2

Beyond Wake Words: Advancing Smart Speaker Protection with Continuous Authentication and Local Profiles

Acosta, L. H., Reinhardt, A., Müller, T., & Reinhardt, D. (2024) · International Conference on Computer Communications and Networks (ICCCN) · doi:10.1109/icccn61486.2024.10637528 · Cited by 2

An optimized attention based hybrid deep learning framework for automatic speaker identification from speech signals

Gade, V. S. R., & Sumathi, M. (2024) · Multimedia Tools and Applications · doi:10.1007/s11042-024-19996-x · Cited by 2

Speaker Recognition System Using Hybrid of MFCC and RCNN with HCO Algorithm Optimization

Otenyi, S., Ngoo, L. M. H., & Kiragu, H. (2024) · International Journal of Intelligent Information Systems · doi:10.11648/j.ijiis.20241305.11 · Cited by 2

Enhancing Biometric Security with Bimodal Deep Learning and Feature-level Fusion of Facial and Voice Data

Merit, K., & Beladgham, M. (2024) · Journal of Telecommunications and Information Technology · doi:10.26636/jtit.2024.4.1754 · Cited by 2

An End-to-End Audio Transformer with Multi-student Knowledge Distillation algorithm for Deepfake Speech Detection

An, W., Li, R., Ge, H., Li, M., & Li, H. (2024) · International Conference on Computing and Pattern Recognition (ICCPR) · doi:10.1145/3704323.3704334 · Cited by 2

Revolutionizing Speaker Recognition and Diarization: A Novel Methodology in Speech Analysis

Shankar, R. D., Manjula, R. B., & Biradar, R. C. (2025) · SN Computer Science · doi:10.1007/s42979-024-03509-6 · Cited by 2

Age Prediction from Korean Speech Data Using Neural Networks with Diverse Voice Features

Ku, H., Lee, J. H., Lee, M., Kim, S., & Yoon, J. (2025) · Applied Sciences · doi:10.3390/app15031337 · Cited by 2

Real-Time Robbery Detection in Public Transport Using Audio Recordings and Deep Learning

Jalili, L. D., Espejel-Cabrera, J., Castilla, J. S. R., & Cervantes, J. (2025) · SN Computer Science · doi:10.1007/s42979-025-03903-8 · Cited by 2

Target sample mining with modified activation residual network for speaker verification

Chaoqun, J., Wei, C., Ye, P., Zhou, W., & Shuhang, Z. (2025) · PLoS ONE · doi:10.1371/journal.pone.0320256 · Cited by 2

Assessing the Robustness of Spectral Clustering for Deep Speaker Diarization

Raghav, N., & Sahidullah, M. (2024) · IEEE India Conference · doi:10.1109/indicon63790.2024.10958255 · Cited by 2

Hopfield Neural Network with Lotus Effect Optimization for Automatic Speaker Recognition in Noisy Environment

Nayak, S., Ahmad, I., & Kumar, P. (2025) · Optoelectronics Instrumentation and Data Processing · doi:10.3103/s8756699025700177 · Cited by 2

Enhancing speaker identification in low-resource multilingual languages using hybrid MFCC-Chroma STFT and transformer encoder

Vajrobol, V., Aggarwal, N., Saxena, G. J., Singh, S., & Pundir, A. (2025) · Multimedia Tools and Applications · doi:10.1007/s11042-025-20885-0 · Cited by 2

Robust Hearing-Impaired Speaker Recognition from Speech using Deep Learning Networks in Native Language

Jeyalakshmi, C., Benny, K., Arunachalam, R., & Balasubramanian, V. (2022) · The International Arab Journal of Information Technology · doi:10.34028/iajit/20/1/11 · Cited by 2

AIx Speed: Playback Speed Optimization Using Listening Comprehension of Speech Recognition Models

Kawamura, K., & Rekimoto, J. (2023) · Augmented Humans International Conference (AHs) · doi:10.1145/3582700.3582722 · Cited by 2

Raspberry Pi-based robust speech command recognition for normal and hearing-impaired (HI)

Revathi, A. A., Sasikaladevi, N., Arunprasanth, D., & Raju, N. (2023) · Multimedia Tools and Applications · doi:10.1007/s11042-023-17543-8 · Cited by 2

T-Top, an Open Source Tabletop Robot with Advanced Onboard Audio, Vision and Deep Learning Capabilities

Maheux, M.-A., Panchea, A. M., Warren, P., Létourneau, D., & Michaud, F. (2023) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros55552.2023.10342252 · Cited by 2

Detecting a History of Repetitive Head Impacts from a Short Voice RecordingPreprint

Tauro, M. G., Ravanelli, M., & Droppelmann, C. A. (2021) · medRxiv · doi:10.1101/2021.09.20.21263753 · Cited by 2

Towards an Efficient Voice Identification Using Wav2Vec2.0 and HuBERT Based on the Quran Reciters DatasetPreprint

Moustafa, A., & Aly, S. A. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2111.06331 · Cited by 2

Speaker Identification Using Hybrid Subspace, Deep Learning and Machine Learning ClassifiersPreprint

Keser, S., & GEZER, E. (2024) · Research Square · doi:10.21203/rs.3.rs-4372288/v1 · Cited by 2

Smart Glasses for Alzheimer’s Disease

Zhao, S. (2023) · International Conference on Intelligent Design (ICID) · doi:10.1109/icid60307.2023.10396680 · Cited by 1

On the influence of metric learning loss functions for robust self-supervised speaker verification to label noise

Fathan, A., Zhu, X., & Alam, J. (2024) · IEEE Conference on Artificial Intelligence (CAI) · doi:10.1109/cai59869.2024.00186 · Cited by 1

Aligning Noisy-Clean Speech Pairs at Feature and Embedding Levels for Learning Noise-Invariant Speaker Representations

Li, Z., Ai, Y., Zhang, J., Peng, S., Yu, G., Gu, B., & Guo, W. (2025) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp49660.2025.10889792 · Cited by 1

Self-Tuning Spectral Clustering for Speaker Diarization

Raghav, N., Gupta, A., Sahidullah, M., & Das, S. (2025) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp49660.2025.10890194 · Cited by 1

Self-supervised Speaker Verification with Batch-scale Pseudo-labels Correction

Wang, J., Fang, Z., & He, L. J. (2025) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp49660.2025.10888615 · Cited by 1

Dual-Path Spectrogram Refinement Network for Robust Speaker Verification

Wang, Z., Fang, Z., & He, L. J. (2025) · Journal of Shanghai Jiaotong University (Science) · doi:10.1007/s12204-025-2810-z · Cited by 1

Improving Speaker Verification Robustness With Multilingual Phonetic Information and Feature Decorrelation

Song, Z., Cai, H. G., Chen, X., & He, L. J. (2025) · IEEE Transactions on Audio Speech and Language Processing · doi:10.1109/taslpro.2025.3597456 · Cited by 2

Can speech foundation models effectively identify languages in low-resource multilingual aging populations?

Kommineni, A., Hebbar, R., Petrosyan, S., Khobragade, P. Y., Kadiri, S. R., Rentería, M. A., Lee, J., & Narayanan, S. S. (2025) · JASA Express Letters · doi:10.1121/10.0039265 · Cited by 1

Tunable Fano resonance with high sensitivity customizable via deep learning

Weng, Q., Xu, K., Xu, Y., Zhang, W., Wang, X., Jiang, H., Ye, L. H., & Li, X. (2025) · Journal of Applied Physics · doi:10.1063/5.0284525 · Cited by 1

Adaspeaker: Learning Discriminative Speaker Representations with Gradient-Aware Adaptive Scaling

Liu, J., Wang, X., & Meng, J. (2025) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3746027.3755682 · Cited by 1

Hybrid active learning with wavelet scattering transform and attention-augmented networks for underwater acoustic signal classification under data scarcity

Liu, Y., Zhang, B., Kong, F., Wang, B., & Luo, C. (2025) · Ocean Engineering · doi:10.1016/j.oceaneng.2025.123214 · Cited by 1

WST-CAA: A Brainprint Recognition Framework Based on Wavelet Scattering Transform and Channel-Axial Attention Dense Network

Zhu, H., Zhang, K., Wang, D., Pan, J., & Huang, J. (2025) · IEEE Signal Processing Letters · doi:10.1109/lsp.2025.3627862 · Cited by 1

Q-PGD: A Stealthy and Effective Speaker Recognition Adversarial Attacks Based on Quantized Projected Gradient Descent

Wang, J., Fu, Y., & Yang, J. (2025) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn64981.2025.11228591 · Cited by 1

Speaker Privacy and Security in the Big Data Era: Protection and Defense Against Deepfake

Chen, L., Lee, K. A., Ling, Z.-H., Wang, X., Das, R. K., Toda, T., & Li, H. (2025) · Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) · doi:10.1109/apsipaasc65261.2025.11249028 · Cited by 1

A lightweight meta-learning-based open-set speaker identification system with integrated spoofing and impostor detection

Sheu, J.-S., & Lu, C.-H. (2025) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2025.108913 · Cited by 1

DS3: Dual-space sample selection for speaker representation learning with noisy labels

Fang, Z., & He, L. (2026) · Pattern Recognition · doi:10.1016/j.patcog.2026.113595 · Cited by 1

Robust acoustic domain identification with its application to speaker diarization

Kumar, A. K., Waldekar, S., Sahidullah, M., & Saha, G. (2022) · International Journal of Speech Technology · doi:10.1007/s10772-022-09990-9 · Cited by 1

Wavelet Packet Sub-band Cepstral Coefficient for Speaker Verification

Min, H., Wei, G., Xu, Y., & Zhang, Y. (2022) · IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC) · doi:10.1109/iaeac54830.2022.9929836 · Cited by 1

Evaluating Deep Neural Network-based Speaker Verification Systems on Sinhala and Tamil Datasets

Anuraj, S. P. D., Jarashanth, S. T., Ahilan, K., Valluvan, R., Thiruvaran, T., & Kaneswaran, A. (2022) · SLAAI International Conference on Artificial Intelligence (SLAAI-ICAI) · doi:10.1109/slaai-icai56923.2022.10002663 · Cited by 1

Speaker Verification Systems with Robustness to Various Noises Using Sparse Processing

Uchida, H., Nakatoh, Y., & Li, Y. (2023) · International Conference on Consumer Electronics · doi:10.1109/icce56470.2023.10043438 · Cited by 1

Efficient Neuromorphic Reservoir Computing Using Optoelectronic Memristors for Multivariate Time Series Classification

Su, J., Lu, J., Sun, F., Zhou, G., Duan, S., & Hu, X. (2023) · International Journal of Bifurcation and Chaos · doi:10.1142/s0218127423500761 · Cited by 1

Speaker Identification Using Ensemble Learning With Deep Convolutional Features

Dhar, S., Phukan, S., Gogoi, R., & Jana, N. D. (2023) · Lecture notes in networks and systems · doi:10.1007/978-981-99-0981-0_9 · Cited by 1

The structural tuning of the convolutional neural network for speaker identification in mel frequency cepstrum coefficients space

Matychenko, A. D., & Polyakova, M. V. (2023) · Herald of Advanced Information Technology · doi:10.15276/hait.06.2023.7 · Cited by 1

Attempting to Aggregate Perceptual Constructs From Deep Neural Networks for Video and Audio Interaction Representation

Maheux, M.-A., Auclair, G., Warren, P., Létourneau, D., & Michaud, F. (2023) · IEEE RO-MAN · doi:10.1109/ro-man57019.2023.10309338 · Cited by 1

Self-supervised Speaker Verification Employing Augmentation Mix and Self-augmented Training-Based Clustering

Fathan, A., & Alam, J. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-48312-7_44 · Cited by 1

Design and Development of Voice OTP Authentication System

Manche, P., Nandyala, S., Mishra, J., Ananthanarayanan, G., & Prasanna, S. R. M. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-48312-7_41 · Cited by 1

On evaluation trials in speaker verification

Li, L., Wang, D., Abel, A. K., & Wang, D. (2023) · Applied Intelligence · doi:10.1007/s10489-023-05071-9 · Cited by 1

USE-Net: SE-Block Enhanced U-Net Architecture for Robust Speaker Identification

Kilari, N., Tibrewal, A., & Kruthiventi, S. S. S. (2023) · International Conference on Computer Science and Emerging Technologies (CSET) · doi:10.1109/cset58993.2023.10346910 · Cited by 1

Comparing Machine Learning Models to Determine the Effect of Speech Duration on Speaker Identification within Kazakh Speech Corpus

Saltanat, J., Sarsembayev, A., & Tolganbayeva, G. A. (2024) · Procedia Computer Science · doi:10.1016/j.procs.2023.12.146 · Cited by 1

MASR: Multi-Label Aware Speech Representation

Raj, A., Bharadwaj, S., Ganapathy, S., Ma, M., & Vashishth, S. (2023) · IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU) · doi:10.1109/asru57964.2023.10389783 · Cited by 1

Adapting to Noise in Forensic Speaker Verification Using GMM-UBM I-Vector Method in High-Noise Backgrounds

Khadar, K. V. A., Kumar, R., & Sreekanth, N. S. (2024) · Communications in computer and information science · doi:10.1007/978-3-031-50993-3_22 · Cited by 1

Exploring the Horizons of Speaker Recognition: Contemporary Advancements and Prospective Trajectories in the Age of Deep Learning

Sasmal, S., Dhote, P., Bhargava, M., Nikam, H., Patil, S., Mehta, S., Singh, L., & Kumar, A. (2023) · IEEE Pune Section International Conference (PuneCon) · doi:10.1109/punecon58714.2023.10449990 · Cited by 1

Distance Metric-Based Open-Set Domain Adaptation for Speaker Verification

Li, J., Han, J., Qian, F., Zheng, T., He, Y., & Zheng, G. (2024) · IEEE/ACM Transactions on Audio Speech and Language Processing · doi:10.1109/taslp.2024.3389646 · Cited by 1

HiddenSpeaker: Generate Imperceptible Unlearnable Audios for Speaker Verification System

Zhang, Z., & Huang, P. (2024) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn60899.2024.10651155 · Cited by 1

Time Series-Based Spoof Speech Detection Using Long Short-Term Memory and Bidirectional Long Short-Term Memory

Mirza, A. R., & Al‐Talabani, A. K. (2024) · ARO-The Scientific Journal of Koya University · doi:10.14500/aro.11636 · Cited by 1

On the influence of regularization techniques on label noise robustness: Self-supervised speaker verification as a use case

Fathan, A., Zhu, X., & Alam, J. (2024) · IEEE International Joint Conference on Biometrics (IJCB) · doi:10.1109/ijcb62174.2024.10744521 · Cited by 1

A new universal camouflage attack algorithm for intelligent speech system

Rong, D., Sun, Q., Wang, Y., & Wang, X. (2024) · Speech Communication · doi:10.1016/j.specom.2024.103152 · Cited by 1

Enhancing Open-Set Speaker Identification Through Rapid Tuning With Speaker Reciprocal Points and Negative Sample

Chen, Z., Ai, Z., Li, X., & Xu, S. (2024) · IEEE Spoken Language Technology Workshop (SLT) · doi:10.1109/slt61566.2024.10832359 · Cited by 1

Semi-Supervised Far-Field Speaker Verification with Distance Metric Domain Adaptation

Wang, H., He, M., Zhang, M., & Xu, L. (2024) · Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) · doi:10.1109/apsipaasc63619.2025.10849026 · Cited by 1

Multi Label Classification Algorithm Based on Conditional Local Correlations among Labels and Ensemble Learning

Alazaidah, R., Nasir, O., Hadi, W. M., Samara, G., Al-Daoud, E., Aljaidi, M., Khouj, M., Elsoud, E. A., & Alzoubi, H. (2024) · International Arab Conference on Information Technology (ACIT) · doi:10.1109/acit62805.2024.10877009 · Cited by 1

Generalized Score Comparison-Based Learning Objective for Deep Speaker Embedding

Han, M. H., Mun, S. H., & Kim, N. S. (2025) · IEEE Access · doi:10.1109/access.2025.3552790 · Cited by 1

Multi-Scale Speaker Vectors for Zero-Shot Speech Synthesis

Cory, T., & Iqbal, R. (2022) · IEEE Annual International Computer Software and Applications Conference (COMPSAC) · doi:10.1109/compsac54236.2022.00093 · Cited by 1

Implementation and Evaluation of a Modified Mel-Frequency Cepstral Coefficients based Text Independent Automatic Speaker Recognition System

Singh, A. K., Singh, R. K., Das, M., Rathi, A., & Dwivedi, A. (2022) · International Interdisciplinary Humanitarian Conference for Sustainability (IIHC) · doi:10.1109/iihc55949.2022.10060563 · Cited by 1

Diarization of Legal Proceedings. Identifying and Transcribing Judicial Speech from Recorded Court AudioPreprint

Tumminia, J., Kuznecov, A., Tsilerides, S., Weinstein, I., McFee, B., Picheny, M., & Kaufman, A. R. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2104.01304 · Cited by 1

Earwitness meta-analysisPreprint

Wichert, P., & Leue, A. (2021) · doi:10.31234/osf.io/s6tvh · Cited by 1

Recognition of Tactile Attribute Strength and Category Using Convolutional Neural NetworkPreprint

Zhang, P., Yu, G., Shan, D., Chen, Z., & Wang, X. (2021) · Preprints.org · doi:10.20944/preprints202107.0530.v1

Development of a Conversation State Prediction SystemPreprint

Rittikar, S. U. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2107.01462 · Cited by 1

Guest editorial: Special issue on advances in deep learning based speech processing

Zhang, X.-L., Xie, L., Fosler‐Lussier, E., & Emmanuel Vincent, A. (2022) · Neural Networks · doi:10.1016/j.neunet.2022.11.033 · Cited by 1

Applications based on Artificial Intelligence for swallowing analysis described in the literature: Scope Review v1Preprint

Tomanchieviez, M., Rech, R. S., & Hugo, F. N. (2023) · doi:10.17504/protocols.io.rm7vzxq42gx1/v1 · Cited by 1

Speaker Retrieval in the Wild: Challenges, Effectiveness and RobustnessPreprint

Loweimi, E., Qian, M., Knill, K., & Gales, M. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5238442 · Cited by 1

Learning Metrics from Mean Teacher: A Supervised Learning Method for Improving the Generalization of Speaker Verification SystemPreprint

Kim, J.-H., Shim, H.-J., Jung, J.-W., & Yu, H.-J. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2104.06604

Development of a Conversation State Recognition System.Preprint

Rittikar, S. U. (2021) · arXiv (Cornell University)

Keyword Recognition Device Cloud Based

Yadav, A. S. (2021) · International Journal for Research in Applied Science and Engineering Technology · doi:10.22214/ijraset.2021.37296

Environmental domain embedding for far-field speaker verification

Zhu, Z., & Jiang, Y. (2022) · International Conference on Network Communication and Information Security (ICNCIS) · doi:10.1117/12.2628416

An Efficient Feature Fusion Technique for Text-Independent Speaker Identification and Verification

Bansal, S., Bansal, R. K., & Sharma, Y. (2022) · Lecture notes on data engineering and communications technologies · doi:10.1007/978-981-16-8403-6_56

Open-Set Speaker Identification Using Closed-Set Pretrained Embeddings

Affek, M., & Tatara, M. S. (2022) · Lecture notes in networks and systems · doi:10.1007/978-3-031-16159-9_14

Log-MelSpectrum and Excitation features based Speaker Identification using Deep Learning

Pentapati, H. K., & Sridevi, K. (2022) · International Conference on Industry 4.0 Technology (I4Tech) · doi:10.1109/i4tech55392.2022.9952492

Índice de Não Estacionariedade aplicado à Classificação de Desordens Vocais

Vieira, V. J. D., Costa, S. L. D. N. C., & Correia, S. (2022) · Anais de XXXV Simpósio Brasileiro de Telecomunicações e Processamento de Sinais · doi:10.14209/sbrt.2022.1570818066

Development of a Context based Conversation State Prediction System

Rittikar, S. U., Rangate, S., Nuli, U. A., Sathe, M., Rathor, V., & Patil, D. (2022) · International Conference on Artificial Intelligence and Speech Technology (AIST) · doi:10.1109/aist55798.2022.10064944

Decision-based adversarial attack for speaker recognition models

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