VRAIN is a leading research center in natural language processing and multimedia AI, developing technologies that break language barriers and enable intelligent analysis of audiovisual content. Our work spans from real-time speech recognition and machine translation to sentiment analysis, irony detection, and multimodal content understanding.
Our language technologies include the TransLectures platform for multilingual transcription and translation, live streaming speech recognition systems, and neural models for nine languages including Spanish, Valencian, English, German, Portuguese, Italian, Dutch, French, and Slovenian. We develop real-time subtitling systems for live broadcasts and educational content, automatic dubbing technologies for cross-lingual video adaptation, and sentiment analysis tools that detect emotions, irony, and opinion in text and social media. These innovations make content accessible across linguistic and sensory barriers while enabling deeper understanding of human communication.
VRAIN's language and media AI extends to recommendation systems for multimedia content, text simplification for improved accessibility, named entity recognition for information extraction, and affective computing for understanding emotional content in audiovisual media. Our technologies serve diverse applications including education, parliamentary proceedings, oncology training, legal document simplification, and media production, demonstrating the transformative potential of language AI across sectors.
Related Technological Offer
Software & Patents
- Communication — TransLectures-UPV multilingual platform, TT-Streaming real-time translation, SENTAT sentiment analysis, Speech synthesis and recognition systems, Automatic translation, SPA-Sentences, EN-IRONIC and ES-IRONIC irony detection, pyTLK speech toolkit, Software TTT
Services
- Communication — Simplification of texts for improved accessibility
- Reasoning — Detection of named entities, Customer segmentation, Recommendation systems for content
- Planning — Monitorization of social networks for sentiment and trend analysis
Related Research Areas
- Natural Language Processing — Speech recognition, machine translation, sentiment analysis, text mining
- Machine Learning and Deep Learning — Neural language models, transformer architectures, multimodal learning
- Intelligent Agents and Human-Centered AI — Conversational AI, affective computing, human-centered language technologies

