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

May 30 ~ 31, 2026, Virtual Conference

Scope & Topics

The4^th 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 09, 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 issues of the following journals.

• 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) -WJCI Indexed

Important Dates

Co - Located Event

• 4^th International Conference on Computer Science, Engineering and Artificial Intelligence (CSEAI 2026)
  
• 4^th International Conference on Soft Computing, Data mining and Data Science (SCDD 2026)
  
• 4^th International Conference on Speech and NLP (SPNLP 2026)
  
• 4^th International Conference on Educational Research (EDUR 2026)
  

***** The invited talk proposals can be submitted to spnlp@spnlp2026.org