WhisperX: Time-Accurate Speech Transcription of Long-Form Audio

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

“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

HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units

Hsu, W.-N., Bolte, B., Tsai, Y.-H. H., Lakhotia, K., Salakhutdinov, R., & Mohamed, A. (2021) · IEEE/ACM Transactions on Audio, Speech, and Language Processing · doi:10.1109/taslp.2021.3122291 · Cited by 2,983

wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations

Baevski, A., Zhou, H., Mohamed, A., & Auli, M. (2020) · arXiv · doi:10.48550/arxiv.2006.11477 · Cited by 2,369

Robust Speech Recognition via Large-Scale Weak Supervision

Radford, A., Kim, J. W., Xu, T., Brockman, G., McLeavey, C., & Sutskever, I. (2022) · arXiv · doi:10.48550/arxiv.2212.04356 · Cited by 1,953

WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing

Chen, S., Wang, C., Chen, Z., Wu, Y., Liu, S., Chen, Z., Li, J., Kanda, N., Yoshioka, T., Xiao, X., et al. (2022) · IEEE Journal of Selected Topics in Signal Processing · doi:10.1109/jstsp.2022.3188113 · Cited by 1,926

Montreal Forced Aligner: Trainable Text-Speech Alignment Using Kaldi

McAuliffe, M., Socolof, M., Mihuc, S., Wagner, M., & Sonderegger, M. (2017) · Interspeech (USB) · doi:10.21437/interspeech.2017-1386 · Cited by 1,169

HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips

Miech, A., Zhukov, D., Alayrac, J.-B., Tapaswi, M., Laptev, I., & Sivic, J. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2019.00272 · Cited by 986

The AMI Meeting Corpus: A Pre-announcement

Carletta, J., Ashby, S., Bourban, S., Flynn, M., Guillemot, M., Hain, T., Kadlec, J., Vasilis Karaiskos, B., Kraaij, W., Kronenthal, M., et al. (2006) · Lecture notes in computer science · doi:10.1007/11677482_3 · Cited by 939

Unsupervised Cross-Lingual Representation Learning for Speech Recognition

Conneau, A., Baevski, A., Collobert, R., Mohamed, A., & Auli, M. (2021) · Interspeech 2021 · doi:10.21437/interspeech.2021-329 · Cited by 637

How does a deep neural network look at lexical stress in English words?

Allouche, I., Asael, I., Rousso, R., Dassa, V., Bradlow, A. R., Kim, S.-E., Goldrick, M., & Keshet, J. (2026) · The Journal of the Acoustical Society of America · doi:10.1121/10.0042429 · Cited by 1

Automating Data Collection for Disaster Resilience Open-Ended Interviews Using AI and NLP

Katebi, M., Poshdar, M., Jelodar, M. B., & da Silva, F. S. C. (2025) · Lecture notes in civil engineering · doi:10.1007/978-981-96-8769-5_35

From salience to semantics: multilevel hierarchical contingencies organise parent-infant joint attentionPreprint

Labendzki, P., Amadó, M. P., Viswanathan, N. K., Northrop, T., Ives, J., Lancaster, K., Greenwood, E., Esposito, G., Phillips, E., Jones, E. J. H., et al. (2025) · eLife · doi:10.7554/elife.109024

SpeechVis: Simplifying Speech Emotion Visualization

Dopke, L., Accorsi, A., Aires, J. P., Guder, L., Manssour, I. H., & Griebler, D. (2025) · Brazilian Symposium on Multimedia and the Web · doi:10.5753/webmedia.2025.16115

Acoustic Vector Sensor–Based Speaker Diarization Using Sound Intensity Analysis for Two-Speaker Dialogues

Szwoch, G., Kotus, J., & Zaporowski, S. (2025) · Applied Sciences · doi:10.3390/app152312780

SynSpeech: A Dataset and Benchmark for Fake Speech Detection

Qiu, Q., Li, Y., Lee, L., Wang, F. L., & Yang, Z. (2025) · ACM International Conference on Multimedia in Asia (MMAsia) · doi:10.1145/3743093.3771030

Enhanced speaker-turn aware hierarchical model for automated classroom dialogue act classification

Jia, L., Sun, H., Jiang, J., & Yang, X. (2025) · Expert Systems with Applications · doi:10.1016/j.eswa.2025.129047

Does coarticulation play a role at the end of a sound change? A dynamic-acoustic and perceptual study of historical Polish ł-vocalizationPreprint

Cęcelewski, J., Stuart-Smith, J., & Gendrot, C. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5849604

Automatic Assessment of Speaking Proficiency for Language Practice Robots

Verhelst, E., Lecompte, P., Janssens, R., Wilde, V. D., & Belpaeme, T. (2025) · Lecture notes in computer science · doi:10.1007/978-981-95-2382-5_28

A Review of Speech Emotion Recognition: An Overview, Recent Developments, and Opportunities

Turakne, S. S., More, V. A., & Panchbhai, S. (2025) · International Conference on IoT Based Control Networks and Intelligent Systems (ICICNIS) · doi:10.1109/icicnis66685.2025.11315645

Detecção da Fala Característica da Doença de Alzheimer Utilizando uma Abordagem Agnóstica de Idioma

Dopke, L., Aires, J. P., de Lira, J. O., Hübner, L. C., & Griebler, D. (2025) · Escola Regional de Aprendizado de Máquina e Inteligência Artificial da Região Sul (ERAMIA-RS) · doi:10.5753/eramiars.2025.16670

Linguistic information compensates for age-related decline in attentional filteringPreprint

Barchet, A. V., Bruera, A., Rimmele, J. M., Obleser, J., & Hartwigsen, G. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.01.08.698329

Seeing Through Words: A Zero-Shot Multimodal Audio Description System with Foundation Models

Mocanu, B., & Țapu, R. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-14495-9_7

The Power of Personalized Attention: Comparing Pedagogical Approaches in Small Group and One-on-One Early Literacy Tutoring

Hsieh, H.-C., Gormley, D., Robinson, C. D., & Loeb, S. (2026) · Education sciences · doi:10.3390/educsci16010142 · Cited by 1

Echonotes: Real-Time Lecture Transcription

Mishra, S., Dash, G., Mishra, P., Rautaray, J., & Kandpal, M. (2025) · International Conference on Cognitive, Green and Ubiquitous Computing (IC-CGU) · doi:10.1109/ic-cgu67042.2025.11337971

On the Limitations of Speaker Diarization

Amorim, J., Pimentel, J., & Rudzicz, F. (2026) · Expert Systems · doi:10.1111/exsy.70221

SPPF: A Speech-Semantic and Privacy-Preserving Framework with Prompt-Tuning Large Language Models

Niu, B., Kong, T., Hou, Y., Li, B., & Zhao, G. (2025) · IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) · doi:10.1109/trustcom66490.2025.00052

Price Discovery Within Earnings CallsPreprint

Oh, S. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6105146

Towards Effective Long-Video Event Prediction via Multi-level Event Semantics Mining

Peng, B., Lyu, Y., Qin, P., & Xu, T. (2026) · Lecture notes in computer science · doi:10.1007/978-981-95-6950-2_14

Improving Multi-Speaker Transcription for Live News Broadcasts With Canary 1B and Pyannote Diarization

Gumay, M. R. A., Naufal, R. B., Wardhana, A. X. R., & Azizah, K. (2025) · International Conference on Speech Database and Assessments · doi:10.1109/o-cocosda68185.2025.11385266

Service-oriented Study on Slot-level Metadata Derived from Multimodal Analysis

Yim, H.-J., Lim, B.-M., Um, J. S., & Seo, J. H. (2025) · International Conference on Information and Communication Technology Convergence (ICTC) · doi:10.1109/ictc66702.2025.11387830

AI Blob! LLM-Driven Recontextualization of Italian Television Archives

Balestri, R. (2026) · doi:10.66062/phbq6517 · Cited by 1

Robustness of Forced Alignment to ASR Transcription Errors: Large-Scale Evaluation on Korean L2 English SpeechPreprint

Yoon, T. J. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6318437

Das Transkript im Zeitalter der Künstlichen Intelligenz. Automatische Spracherkennung in der Oral History

Kilgus, T., & Kompiel, P. (2026) · BIOS – Zeitschrift für Biographieforschung Oral History und Lebensverlaufsanalysen · doi:10.3224/bios.v38i1-2.08

Visual Lyrics: Generating Animated Text for Music Lyric Videos with an Augmented Text Editor

Lin, D. C.-E., Nguyen, C., Shin, H. V., & Martelaro, N. (2026) · ACM International Conference on Intelligent User Interfaces (IUI) · doi:10.1145/3742413.3789072

Multimodal Visual Speech Recognition for Under-Resource Languages via Cross-Modal Learning and Large Language Models

Țapu, R., Mocanu, B., & CHIVA, I.-C. (2026) · Romanian Journal of Information Science and Technology · doi:10.59277/romjist.2026.1.05

Verbal Fluency Tasks as Diagnostic Tools for Speech-Affecting Disorders

Ponte, M., Botelho, C., & Trancoso, I. M. (2026) · IEEE Mediterranean Electrotechnical Conference (MELECON) · doi:10.1109/melecon64486.2026.11418868

The Influence of Gender and Nonverbal Communication on Collaboration in Agile Teams

Palma-Ramírez, D., Cabrera, S., Miranda, D., Cechinel, C., Noël, R., Canino, A. F., Escobedo, C., & Muñoz, R. (2025) · Latin American Computer Conference (CLEI) · doi:10.1109/clei67442.2025.11420752

Cognitive-Load-Aware Multimodal Video Segmentation for Adaptive Consumer Media Systems

da Silva, W. F., Dong, F., Abel, A. K., & Fernando, A. (2026) · International Conference on Consumer Electronics · doi:10.1109/icce67443.2026.11449659

The first 1000 days: Modeling language learning from individual children’s everyday speech

Raviv, H., Tsyhanov, A., Gousios, K., Altenhof, A., Wang, H., Chen, B., Raviv, O., Rosenwein, T., Lew‐Williams, C., Hasenfratz, L., et al. (2026) · Science · doi:10.64898/2026.03.28.715023 · Cited by 1

CASPER: A Large Scale Spontaneous Speech Dataset

Xiao, C., Liang, R., Zhang, X., Tiryaki, M. E., Bae, V., Shankar, L., Yang, R., Poon, E., Emmanuel Dupoux, A., Khudanpur, S. P., et al. (2025) · IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU) · doi:10.1109/asru65441.2025.11434634

Omni-Router: Sharing Routing Decisions in Sparse Mixture-of-Experts for Speech Recognition

Gu, Z., Likhomanenko, T., & Jaitly, N. (2025) · IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU) · doi:10.1109/asru65441.2025.11434645

Multimodal Analysis of Speech-Gaze Fusion in Mixed Reality for the Detection of Neurodegenerative Disorders

Dudek, M., Sikora, J., Hemmerling, D., Danioł, M., Wodziński, M., & Wójcik-Pędziwiatr, M. (2026) · IEEE Conference on Virtual Reality and 3D User Interfaces (VR) · doi:10.1109/vr67842.2026.00052

Long-Form Fuzzy Speech-to-Text Alignment for 1000+ Languages

Huang, R., Zhang, X., Ni, Z., Hira, M., Hwang, J., Pratap, V., Lin, J., Sun, M., & Metze, F. (2025) · IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU) · doi:10.1109/asru65441.2025.11434643

Incorporating Contextual Paralinguistic Understanding in Large Speech-Language Models

Wang, Q., Sailor, H. B., Wong, J. H. M., Liu, T., Sun, S., Zhang, W., Huzaifah, M., Chen, N. F., & Aw, A. T. (2025) · IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU) · doi:10.1109/asru65441.2025.11434637 · Cited by 2

Efficient Deployment of Large Speech Recognition Models on GPU

Zhang, Y., Yu, S., & Lai, J. (2025) · IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU) · doi:10.1109/asru65441.2025.11434664

CAMÕES: A Comprehensive Automatic Speech Recognition Benchmark for European Portuguese

Carvalho, C., Teixeira, F., Botelho, C., Pompili, A., Solera-Ureña, R., Paulo, S., Julião, M., Rolland, T., Mendonça, J., Pereira, D. A., et al. (2025) · IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU) · doi:10.1109/asru65441.2025.11434700 · Cited by 2

A lightweight bidirectional GRU–DCNN hybrid framework for end-to-end automatic speech recognition

Karthikeyan, V., Paramasivan, S., & Natchiyar, M. (2026) · Microsystem Technologies · doi:10.1007/s00542-025-05973-3

Do Users Even Care If Reused Smart Garments Reveal Earlier Users' Data?

Sanchez, C., Epp, F. A., & Salovaara, A. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3790467

How Humans Naturally Refer to Targets: Understanding Multimodal Instruction Patterns in Human–Robot Interaction

Jia, L., Chang, M., Liu, Y., & Du, N. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3790946

Capturing Team Cognition: A Multimodal Dataset for Adaptive Collaborative Interfaces

Micek, C., Warnke, L., Rodrigues, L., Putze, F., & Solovey, E. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3791607

Transient Non-Use: How People in Migration Experience Digital Disconnection

Leuenberger, J., Rajendran, A., Jara, A. P., Hoque, T.-U., & Darian, S. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3791586

µCap: Instrumental Music Captions for Deaf and Hard-of-Hearing Individuals

Ahn, S., Baek, I.-C., Kim, K., Truong, K. N., & Hong, J.-H. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3790729

MindDialog: A large-scale benchmark for counseling dialogue understanding and generation

Hu, H., Si, J., Wang, Q., Weng, T., Ji, Y., Jiang, J., Ma, F., Zhou, Y., Cui, L., & Tian, Q. (2026) · Pattern Recognition · doi:10.1016/j.patcog.2026.113766

Intrusive Lyric Intelligibility Via Hybrid Attention over ASR Embeddings and Feature Blocks

Peter, R., Mohan, V., Subramanian, S., & Juvela, L. (2026) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp55912.2026.11464474

SP-MCQA: Evaluating Intelligibility of TTS Beyond the Word Level

Tee, H. J. L., Wang, C., Zhang, Z., & Wu, Z. (2026) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp55912.2026.11464956

MSBench: Can Speech Language Models Generate Multi-Speaker Dialogues in One Passƒ

Xu, Z., Liu, T., Shen, H., Liu, M., & Duan, L. (2026) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp55912.2026.11462979

A Novel Approach to Evaluating the Effectiveness of Large Language Models for Multimodal Analysis of Embodied Learning in Classrooms

Fonteles, J. H., Sivakumaran, N., Cohn, C., Coursey, A., Yu, S., Stengel-Eskin, E., Ashwin, T. S., Bansal, M., & Biswas, G. (2026) · International Conference on Learning Analytics and Knowledge (LAK) · doi:10.1145/3785022.3785109 · Cited by 2

EARS4SEE: A multimodal audio description system dedicated to blind and visually impaired users

Țapu, R., & Mocanu, B. (2026) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2026.104772

Examining the utility of digital phenotyping for the prediction of intrusive experiences

Meaney, T., Yadav, V., Galatzer‐Levy, I. R., & Bryant, R. A. (2026) · European Journal of Psychotraumatology · doi:10.1080/20008066.2026.2646126

Benchmarking ASR Models in German Medical Contexts: A Performance Analysis Using Anamnesis Conversations

Schuster, T., Trögele, J., Döring, N., Krüger, R., Hoffmann, M., & Friedrich, H. (2026) · Lecture notes in business information processing · doi:10.1007/978-3-032-26363-6_21

SurgOnAir: Hierarchy-Aware Real-Time Surgical Video Commentary

He, J., Zhou, Y., Bai, L., Yuan, K., Navab, N., & Bi, Y. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-38233-7_54

Automated Macrolinguistic Discourse Analysis for Transdiagnostic Detection of Language ImpairmentPreprint

Lee, S. H., Wang, S. X., Varkanitsa, M., & Kiran, S. (2026) · medRxiv · doi:10.64898/2026.05.19.26353614

“As Long as It Does What I Want, I'd Be Happy to Trust It”: Exploring User Perspectives on a Scrutable Assistant for Time Management

Jeromela, J., Murtagh-White, M., Gajcin, J., Debnath, A., Barman, D., & Conlan, O. (2026) · ACM Conference on User Modeling, Adaptation and Personalization (UMAP) · doi:10.1145/3774935.3806186

Affective and Cognitive Distortions-Aided Suicide Risk Prediction for Long-Form Speech in Psychological Support Hotlines

Song, C., Li, J., Zhao, Q., Chen, Y., Tong, Y., & Fu, G. (2026) · Bioengineering · doi:10.3390/bioengineering13060673

A multimodal speech-based pipeline with joint emotion analysis for Vietnamese service quality assessment

Nguyen-Duc, Q.-A., Kim, T. D., Pham, M.-D., & Le, H. X. (2026) · International Journal of Speech Technology · doi:10.1007/s10772-026-10268-7

The frequency dependence of EEG-speech envelope tracking does not reflect the rates of speech units or pitchPreprint

Thornton, M. P., & Reichenbach, T. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.06.14.732143

Multi-Section Lyric-to-Song Generation With Autoregressive-Diffusion Modeling and Preference Optimization

Yang, C., Tan, W., Chen, H., Li, G., Lei, S., Yu, J., Wang, S. Q., & Li, H. (2026) · IEEE Transactions on Audio Speech and Language Processing · doi:10.1109/taslpro.2026.3705684

Evaluating Three Advanced Methods for Sociophonetic Studies

Weilinghoff, A., & Buschfeld, S. (2026) · Cambridge University Press eBooks · doi:10.1017/9781009569699.018

Corpus-Based Research on Variable Usage in Place and Medium

Smith, A., & Collins, P. C. (2026) · Cambridge University Press eBooks · doi:10.1017/9781009569699.013

Multistage Automatic Speech Recognition- Named Entity Recognition Framework for Privacy Sensitive Information Recognition in Medical Speech Data

Chen, Y.-J., Chang, T.-Y., & Chang, T.-H. (2026) · Communications in computer and information science · doi:10.1007/978-981-92-2282-7_7

End-to-End Joint ASR and Speaker Role Diarization With Child-Adult Interactions

Xu, A.-F., Feng, T.-T., Bishop, S., Lord, C., & Narayanan, S. S. (2026) · IEEE Transactions on Audio, Speech, and Language Processing · doi:10.1109/taslpro.2026.3707421 · Cited by 4

AI-Driven Analytics of Team-Teaching Talk: Acoustic Patterns Across Experience, Cohorts and the Learning Design

Liu, Y., Martínez‐Maldonado, R., Alfredo, R., Mejia‐Domenzain, P., Rahayu, D., & Nawaz, S. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-29763-1_1

Moral Foundations in Children’s Media Content: A Comparison of Secular and Religious Media Sources

Горбенко, А. В. (2026) · Sociological Journal · doi:10.19181/socjour.2026.32.2.3

Estimation of neuronal tuning for word meaning from passively recorded naturalistic speechPreprint

Ismail, T., Chavez, A. G., Yan, X., Zhu, H., Franch, M. C., Belanger, J. L., Chamarthi, S., Kabotyanski, K. E., Katlowitz, K. A., Chericoni, A., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.06.23.733980

Exposure to news and political content on TikTok: A Case Study Around the 2024 US Election

Ge, C., Gautam, N., Vajjhala, S., Ng, C., Hasell, A., & Tomkins, S. (2026) · ACM Conference on Fairness, Accountability, and Transparency (FAccT) · doi:10.1145/3805689.3812207

Beyond Note-Taking: Empowering Examiners with a Diarization-Aware and Transparent AI Assistant for Oral Exams

Dauner, M., Liu, R., & Socher, G. (2026) · IEEE Global Engineering Education Conference (EDUCON) · doi:10.1109/educon67543.2026.11574092

An HRI Study of an LLM-Based Social Robot Delivering a University Lecture

Pashangpour, S., & Nejat, G. (2026) · IEEE Transactions on Learning Technologies · doi:10.1109/tlt.2026.3710170

Video captioning: a comparative study between ChatGPT, Claude, and Gemini

Idrissi, Z. E., Chadi, M.-A., & Mouchawrab, S. (2026) · Multimedia Tools and Applications · doi:10.1007/s11042-026-21764-y

Adaptive Key Segment Selection & Dynamic Encoding for Long-Duration Speech Suicide Detection

Song, C., Li, J. J., Zhao, Q., Chen, Y., Tong, Y., & Fu, G. (2026) · International Conference on Machine Intelligence Theory and Applications (MiTA) · doi:10.1109/mita69365.2026.11581596

Online Frontend System for Multi-Talker DSR Using Neural Blind Source Separation and Diarization

Bando, Y., Nakamura, T., Fukayama, S., & Watanabe, S. (2026) · IEEE Transactions on Audio Speech and Language Processing · doi:10.1109/taslpro.2026.3711759

Decoupling Articulation from Language: Phonetic Interfaces for Romanian Visual Speech Recognition

Țapu, R., & Mocanu, B. (2026) · International Conference on Communications (COMM) · doi:10.1109/comm70054.2026.11591421

A survey of transformers based on their input modalities

Sharma, P., & Jain, S. K. (2026) · Applied Intelligence · doi:10.1007/s10489-026-07378-9 · Cited by 1

Sybyrla: End-to-End Low-Resource Kazakh Speech Recognition Using Whisper with Multilingual Code Switching

Ilyas, D., & Mimenbayeva, A. (2026) · IEEE International Conference on Smart Information Systems and Technologies (SIST) · doi:10.1109/sist61674.2026.11596103

How Variability Influences Podcast Search: Queries, Transcriptions, and Judges

Mansour, W. A., Culpepper, J. S., Yates, A., & Mackenzie, J. (2026) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/3805712.3809668 · Cited by 1

An Open-Source Modular Platform for AI-Enabled Clinical Documentation in Emergency Medicine (Berta): Development and Implementation Study (Preprint)Preprint

Vaid, S., Weldon, M., Dunn, J., Davis, S., Lonergan, K., Li, H., Franc, J. M., Abdalla, M., Baumgart, D. C., Hayward, J., et al. (2026) · doi:10.2196/preprints.105385

Optimizing WhisperX and Pyannote Integration for Emotional Speech Diarization

Sharma, S., Kumar, R., & Gupta, M. (2026) · International Conference on Innovations in Cybersecurity and Data Science (ICICDS) · doi:10.1109/icicds70526.2026.11604919

PALM: Phoneme-Level Prosody and Lexical Feature Augmented Dataset Construction Pipeline for Language and Speech Studies

Adhikari, M., Prajapati, M., Adhikari, P., & Shaik, S. (2026) · International Conference on Smart Applications, Communications and Networking (SmartNets) · doi:10.1109/smartnets69662.2026.11604988

DeMention: A Modular System for Speech-Based Alzheimer's Dementia Screening

Behrendt, J., Brauße, E., Rammohan, R. A., & Schultz, T. (2026) · ACM Conference on Conversational User Interfaces (CUI) · doi:10.1145/3816046.3816319

Bridging the Gap? Liveübertragungen in Kreistagen und Stadträten als Datengrundlage für die politikwissenschaftliche Forschung

Reimers, P. (2026) · Politische Vierteljahresschrift · doi:10.1007/s11615-026-00672-8

Demolishing is not a strategy: Rethinking urban renewal beyond growth in Grenoble, France

Chardon, C. (2026) · Urban Studies · doi:10.1177/00420980261466604

AURA: Automated Analysis and Reporting of Therapeutically Applied Table-top Role-Playing Games

Melhárt, D., Dockhorn, A., Drachen, A., & Andersen, M. E. (2026) · International Conference on the Foundations of Digital Games (FDG) · doi:10.1145/3815598.3815645

Privacy attacks on voice anonymization systems: Overview and key findings from the First VoicePrivacy Attacker Challenge

Tomashenko, N., Miao, X., Emmanuel Vincent, A., & Yamagishi, J. (2026) · Computer Speech & Language · doi:10.1016/j.csl.2026.102036

How Does India Cook Biryani?

Farzana, S., Rishi, C. V., Goel, S., Arun, A., & Jawahar, C. V. (2025) · Indian Conference on Computer Vision, Graphics and Image Processing · doi:10.1145/3774521.3774596 · Cited by 1

Automating Observational Coding of Psychotherapy Quality with Natural Language Processing (Preprint)Preprint

Benito, K., Jangraw, D. C., Kemp, J. J., Barker, D., Han, E., Norris, L. A., Danforth, C. M., Smits, J. A. J., Otto, M. W., Freeman, J. B., et al. (2026) · doi:10.2196/preprints.107147

Distinct neural representations encode psychiatric states across timescalesPreprint

Merk, T., Bezold, G., Hingorani, R., Wiese, A. D., Robinson, B., Yi, H., Altman, J., Rajesh, S. V., Gobo, V. E., Ochoa, M., et al. (2026) · medRxiv · doi:10.64898/2026.07.30.26359255

Character-Aware Subtitling Through Improved Alignment and Diverse Priors

Deshmukh, A. A., Tapaswi, M., & Gandhi, V. (2026) · International Conference on Signal Processing and Communications (SPCOM) · doi:10.1109/spcom71105.2026.11622921

Multimodal Speech Composites Separate Age-Related, Subjective, and Clinical Cognitive Change in Narrative Recall TasksPreprint

Kleiman, M. J., Baig, M. M., Clarke, N., Salcedo, A., & Galvin, J. E. (2026) · medRxiv · doi:10.64898/2026.08.07.26359965

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Davis, C., Ching, A. S. M., Haroon, A., & Kim, J. (2026) · Trends in Hearing · doi:10.1177/23312165261477134

AIthena-Vision: Adaptive Temporal Multimodal Event Retrieval with LLM-Generated Multiperspective Fusion

Nguyen, T. V., Duong, N. T., Pham, N. T., Le, K. Q., & Le, T. H. N. (2026) · Communications in computer and information science · doi:10.1007/978-981-92-2587-3_45

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Li, S., Li, J., & Shinozaki, T. (2026) · Communications in computer and information science · doi:10.1007/978-981-92-4529-1_12

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Bui, H. H., Trinh, M.-H., Le, C. D., Vu, Q.-L., & Hoang, D.-H. D. (2026) · Communications in computer and information science · doi:10.1007/978-981-92-2600-9_15

Audio-guided articulatory distillation for multilingual visual speech recognition with large language model decoding

Mocanu, B., & Țapu, R. (2026) · Multimedia Tools and Applications · doi:10.1007/s11042-026-21853-y

High-level prediction of continuous speech during mind-wandering

Chen, G. R., Finkelstein, R. S., Goldstein, A., Hassin, R. R., & Deouell, L. Y. (2026) · Communications Psychology · doi:10.1038/s44271-026-00518-4

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Riquier, S., Morley, A., Tousignant‐Laflamme, Y., & Ali, N. (2026) · Musculoskeletal Care · doi:10.1002/msc.70258

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Shao, P., Shimamoto, G. A., & Cai, J. (2026) · Methods in molecular biology · doi:10.1007/978-1-0716-5440-8_14

Comparing immersive mindfulness and nature interventions for managing preoperative distress in breast cancer patients: A randomized controlled trialPreprint

Pinto, D., Andrés-Luna, R., Sandru, R., Fettweis-Netto, L., Correia-Anacleto, J., Pedro, G., Correia-Anacleto, J., Travado, L., Vaz, P., Cruz, A., et al. (2026) · medRxiv · doi:10.64898/2026.09.03.26362134

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Klincewicz, M., & Collin, S. H. P. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.09.04.749401

Development of an Automated Evaluation System for Discussion Quality in Face-to-Face Group Discussions

Hagiwara, K., Sakai, M., & Lopez, G. F. (2026) · Communications in computer and information science · doi:10.1007/978-3-032-27235-5_48

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Naylor, S., Høeg, E. R., & Adjorlu, A. (2026) · Proceedings of the International Conference on Disability Virtual Reality & Associated Technologies · doi:10.54337/aau.icdvrat26.46

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Bain, C., & Bain, M. (2026) · arXiv (Cornell University) · doi:10.48550/arxiv.2608.31170

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Wagner, L., Thallinger, B., & Zusag, M. (2024) · arXiv (Cornell University) · doi:10.48550/arxiv.2408.16589 · Cited by 3

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Macháček, D., Dabre, R., & Bojar, O. (2023) · arXiv (Cornell University) · doi:10.48550/arxiv.2307.14743 · Cited by 7

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Yang, F., Ni, X., Yang, R., Geng, J., Li, Q., Lyu, C., Du, Y., Wang, L., Luo, W., & Zhang, K. (2026) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp55912.2026.11461821

Whispy: Adapting STT Whisper Models to Real-Time EnvironmentsPreprint

Bevilacqua, A., Saviano, P., Amirante, A., & Romano, S. P. (2024) · arXiv (Cornell University) · doi:10.48550/arxiv.2405.03484 · Cited by 2