# SLT — IEEE Spoken Language Technology

- **Submission deadline**: 2026-09-11
- **Notification date**: 2026-09-16
- **Conference date**: 2026-12-13
- **Location**: Palermo, Sicily, Italy
- **Rankings**: CCF C
- **Conference Partner Index**: 52.2/100 (ranked #1164, confidence 0.60, algorithm 1.1) — how this is computed: https://www.myhuiban.com/ranking
- **Trackers**: 2
- **Attendees**: 1
- **Canonical page**: https://www.myhuiban.com/conference/5581

## Call for papers

The IEEE Spoken Language Technology (SLT) Workshop, held biennially, brings together leading researchers from academia and industry in a focused and collaborative environment. As a pivotal forum for discussing emerging developments and shared challenges in spoken language technology, SLT fosters meaningful dialogue, the exchange of cutting-edge research, and the advancement of the field. Transforming how we connect and innovate, spoken language technology profoundly impacts human progress by driving the future of interaction, accelerating innovation, ensuring greater accessibility, and enabling seamless human-machine interaction. Its impact extends across numerous domains, including education and healthcare, where it is transforming how technology is developed and deployed. We look forward to welcoming you to SLT 2026 for an enriching experience as we explore the latest innovations and continue pushing the frontiers of this dynamic field. Topics We are calling for submissions in all areas of spoken language processing, particularly focusing on the following topics: Automatic speech recognition Conversational/multi-speaker ASR Far-field speech processing Speech separation and enhancement Speaker and language recognition Speaker diarization Spoken language understanding Spoken dialog systems Low resource/multilingual speech processing Spoken language processing Spoken document retrieval Speech-to-speech translation Text-to-speech systems Speech summarization New applications of automatic speech recognition Audio-visual/multimodal speech processing Emotion recognition from speech Large language models for spoken language processing Speech foundation models Self-supervised and representation learning for speech Child speech/language processing Special Theme: Spoken Language Technology for Social Wellbeing in the Digital Privacy Era Since the theme of this year is Spoken Language Technology for Social Wellbeing in the Digital Privacy Era, the following key topics are also proposed: Voice Technology in Healthcare Speech Processing for Assistive Healthcare Technologies Assistive Hearing and Speaking Technologies Voice-Activated Virtual Healthcare Assistants Speech Technologies for Telehealth and Remote Care Privacy-preserving speech recognition Privacy in Voice Biometrics and Speaker Identification Robustness of speech technologies against malicious activities, adversarial attacks, and threat models Fairness, bias, and accountability in speech systems Spoofing and deepfake detection, attribution, and characterization Forensic and investigative applications Voice Anonymization Techniques Integrity verification, watermarking, and traceability for voice technologies

## Related conferences

- ISCSLP — International Symposium on Chinese Spoken Language Processing — https://www.myhuiban.com/conference/1031
- ICC — International Conference on Communications — https://www.myhuiban.com/conference/318
- IJCNN — International Joint Conference on Neural Networks — https://www.myhuiban.com/conference/428
- TrustCom — International Conference on Trust, Security and Privacy in Computing and Communications — https://www.myhuiban.com/conference/1289
- ICONIP — International Conference on Neural Information Processing — https://www.myhuiban.com/conference/437

## Related journals

- Neurocomputing — https://www.myhuiban.com/journal/234
- ACM Transactions on Asian and Low-Resource Language Information Processing — https://www.myhuiban.com/journal/586
- Knowledge-Based Systems — https://www.myhuiban.com/journal/227
- Engineering Applications of Artificial Intelligence — https://www.myhuiban.com/journal/209
- Pattern Recognition — https://www.myhuiban.com/journal/198

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Source: Conference Partner — https://www.myhuiban.com/conference/5581 (rankings reproduced from CCF / ICORE / QUALIS; data cached up to 1 hour)