Multimodal Approaches to Speaker State Identification: Emotion, Sentiment, and Novel Modalities

Bachman (Autor)

Buch | Softcover

126 Seiten

2024
tredition (Verlag)
978-3-384-27684-1 (ISBN)

Infos

Multimodal Approaches to Speaker State Identification: Emotion, Sentiment, and Novel Modalities explores cutting-edge methods for identifying speaker states using diverse data inputs. Beyond traditional emotions, this research integrates new modalities such as gesture recognition, facial expression analysis, and linguistic patterns to capture subtle nuances in sentiment, attitude, and cognitive states. By combining audio, visual, and textual data, advanced machine learning techniques and deep learning models are leveraged to enhance accuracy and reliability in real-time identification. The study aims to advance applications in affective computing, virtual assistants, and human-computer interaction by providing deeper insights into speaker behaviors and intentions. It emphasizes the importance of context-aware systems that can interpret and respond to complex human communication cues effectively. Multimodal Approaches to Speaker State Identification represents a significant step towards developing responsive technologies that can adapt to diverse social and emotional contexts, improving user interaction and engagement across various domains.

Autor

Dr. Bachman is a leading expert in the field of renewable energy integration and hydrogen technologies. With a deep understanding of the challenges and opportunities facing Europe's transition to a green economy, Dr. Bachman has dedicated their career to developing innovative solutions for storing renewable energy and building a robust hydrogen infrastructure. This book, Europe's Green Shift: Storing Renewables and Investing in Hydrogen Infrastructure, is a culmination of Dr. Bachman's extensive research and experience. It delves into the critical issue of intermittency associated with renewable energy sources like solar and wind. Dr. Bachman explores various storage solutions, analyzing their strengths, weaknesses, and potential for large-scale implementation. Recognizing the limitations of current storage technologies, Dr. Bachman also champions hydrogen as a game-changer in Europe's green shift. The book examines the production, transportation, and utilization of clean hydrogen, highlighting its potential to decarbonize sectors beyond electricity generation, such as transportation and industry. Dr. Bachman's insightful analysis extends beyond technical considerations. They explore the economic and political landscape surrounding Europe's energy transition, outlining the necessary investments and policy frameworks to foster a thriving hydrogen economy. Europe's Green Shift serves as a blueprint for policymakers, industry leaders, and anyone interested in understanding the complexities and opportunities of Europe's transition to a sustainable energy future. Dr. Bachman's work provides a compelling roadmap for harnessing the power of renewables and hydrogen to create a cleaner, more secure energy system for Europe.

Produkt-Details

• Erscheint lt. Verlag: 2.7.2024
• Verlagsort: view line
• Sprache: englisch
• Maße: 155 x 234 mm
• Gewicht: 224 g
• Themenwelt: Geschichte ► Teilgebiete der Geschichte ► Technikgeschichte
• Themenwelt: Technik
• Schlagworte: audiovisual processing • Deep learning • Facial Expression Recognition • Humor detection • multimodal learning • Physiological signals • sentiment analysis • Speech Analysis • Speech Recognition • text analysis
• ISBN-10: 3-384-27684-1 / 3384276841
• ISBN-13: 978-3-384-27684-1 / 9783384276841
• Zustand: Neuware