4th International Conference on Speech and NLP (SPNLP 2026)

Sat, 30 May, 2026 at 09:00 am to Sun, 31 May, 2026 at 10:00 pm UTC+02:00

VIRTUAL CONFERENCES | Berlin

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4th International Conference on Speech and NLP (SPNLP 2026)
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4th International Conference on Speech and NLP (SPNLP 2026)


May 30 ~ 31, 2026, Virtual Conference

https://spnlp2026.org/index

Scope


4th International Conference on Speech and NLP (SPNLP 2026) will provide an excellent international forum for sharing knowledge and results in the theory, methodology, and applications of Speech Processing and Natural Language Processing (NLP). As speech, language, and multimodal intelligence continue to advance at an unprecedented pace, the conference aims to bring together researchers, practitioners, and industry experts to exchange innovative ideas, discuss emerging challenges, and explore cutting edge developments shaping the future of human–machine communication.

SPNLP 2026 welcomes significant contributions that address both foundational research and practical implementations across all major areas of speech and NLP. The conference encourages submissions that present novel research results, experimental studies, system prototypes, survey articles, and industrial experiences that demonstrate meaningful progress in the field.

Authors are invited to contribute by submitting articles that illustrate research results, projects, surveying works, and industrial experiences describing significant advances in the following areas, but not limited to:


Topics of interest include, but are not limited to, the following


NLP, Linguistics and Language

Foundational NLP and Linguistics

Morphology, Phonology, Syntax and Semantics

Parsing, Structured Prediction and Grammatical Formalisms

Lexical Semantics and Word Sense Disambiguation

Discourse, Pragmatics and Dialogue Structure

Linguistic Resources, Corpora, Annotation and Benchmarking

Computational Linguistics and Formal Models of Language

Multilingual NLP, Cross Lingual Transfer and Low Resource NLP

Sociolinguistic NLP: Dialects, Code Switching and Language Variation

Modern NLP Paradigms

Large Language Models (LLMs) and Foundation Models

Instruction Tuning, Preference Optimization (DPO, PPO, ORPO)

Retrieval Augmented Generation (RAG) and Knowledge Augmented NLP


Long Context Models and Memory Augmented LLMs

Reasoning Models: Chain of Thought, Tool Use and Planning

Neuro Symbolic NLP and Hybrid Reasoning

Continual, Lifelong and Incremental NLP

Personalized NLP and User Modeling

Efficient NLP: Distillation, Quantization, Pruning, TinyNLP and TinyLLMs

Speech, Audio and Multimodal Intelligence

Speech and Spoken Language Processing

Automatic Speech Recognition (ASR)

Text to Speech (TTS) and Speech Synthesis

Spoken Dialogue Systems and Conversational AI

Speech Understanding, Emotion Recognition and Prosody

Speech Translation and Cross Modal Speech Text Models

Robust Speech Processing and Noise Resilient Models


Speech Foundation Models and Speech Language Joint Models

Voice Cloning, Voice Conversion and Speech Editing

Speaker Diarization, Attribution and Multi Speaker Modeling

On Device and Real Time Speech Models (TinySpeech)

Audio Intelligence and Generative Audio

Audio Diffusion Models and Generative Audio

Sound Event Detection, Classification and Generation

Audio Language Models (ALMs)

Audio Forensics and Deepfake Speech Detection

Multimodal and Embodied AI

Vision Language Models (VLMs)

Audio Language Vision Models

Vision Language Action (VLA) Models

Video Language Models and Video Reasoning

3D Multimodal Models and Embodied 3D Reasoning


Language Grounding in Vision, Robotics and Embodied Agents

Sign Language Processing and Gesture Language Integration

NLP Applications, Generation and Knowledge Technologies

NLP Applications

Information Extraction, Text Mining and Knowledge Extraction

Information Retrieval, Neural IR and Search Systems

Question Answering, Reading Comprehension and Open Domain QA

Summarization (Extractive, Abstractive, Multimodal)

Machine Translation and Cross Lingual Generation

Sentiment Analysis, Opinion Mining and Argument Mining

NLP for Healthcare, Finance, Education and Social Media

NLP for Accessibility and Assistive Technologies

NLP for Misinformation, Disinformation and Digital Trust


NLP for Policy, Governance and Societal Impact

Text Generation and Language Modeling

Paraphrasing, Entailment and Natural Language Generation (NLG)

Controlled Generation, Style Transfer and Content Manipulation

Narrative Generation, Storytelling and Creative NLP

Safety Aware Generation and Toxicity Mitigation

Knowledge Enhanced NLP

Knowledge Graphs, Ontologies and Semantic Web

Knowledge Grounded Dialogue and QA

Commonsense Reasoning and World Knowledge Integration

Symbolic Neural Hybrid Models

Machine Learning for NLP and Model Analysis

ML Techniques for NLP

Deep Learning Architectures for NLP


Transformers, Attention Mechanisms and Sequence Modeling

Reinforcement Learning for Language Tasks

Continual Learning, Meta Learning and Transfer Learning

Statistical NLP (modernized) and Hybrid ML Approaches

Model Evaluation, Interpretability and Safety

Interpretability, Explainability and Model Transparency

Evaluation Metrics, Benchmarks and Human Evaluation

Bias, Fairness, Ethics and Responsible NLP

Robustness, Adversarial Attacks and Defenses

Hallucination Detection and Mitigation in LLMs

Safety, Alignment and Red Teaming for NLP Models

Holistic Evaluation of LLMs and Multimodal Models

Agent Based Evaluation and Real World Task Evaluation


Emerging Topics in Speech and NLP

Agentic NLP Systems and Autonomous Language Agents

Multi Agent Communication, Coordination and Social Simulation

Multilingual LLMs and Universal Speech Language Models

Low Resource and Zero Shot Speech/NLP

Synthetic Data for Speech and NLP

Human AI Collaboration and Co Creation

Cognitive NLP and Psycholinguistic Modeling

Theory of Mind (ToM) in NLP and Language Reasoning

Real World Deployment, Efficiency and Scalability of NLP Systems

NLP for Safety, Security and Digital Trust


Paper Submission


Authors are invited to submit papers through the conference Submission System by May 02, 2026. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by International Journal on Cybernetics & Informatics (IJCI) (Confirmed).

Selected papers from SPNLP 2026, after further revisions, will be published in the special issue of the following journal.

  • International Journal on Natural Language Computing (IJNLC)
  • International Journal of UbiComp (IJU)
  • International Journal of Data Mining & Knowledge Management Process (IJDKP)
  • International Journal of Grid Computing & Applications (IJGCA)
  • Signal & Image Processing : An International Journal (SIPIJ)

Important Dates

Second Batch : Submissions after April 21, 2026

  • Submission Deadline; May 02, 2026
  • Authors Notification; May 21, 2026
  • Registration & camera – Ready Paper Due; May 25, 2026


Contact Us

Here’s where you can reach us [email protected] (or) [email protected]


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Event Venue

VIRTUAL CONFERENCES, Wollankstraße 11/1. OG, 13187 Berlin, Germany, Berlin

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