صورة الغلاف

Reinforcement Learning Methods in Speech and Language Technology

This book offers a comprehensive guide to reinforcement learning (RL) and bandits methods, specifically tailored for advancements in speech and language technology. Starting with a foundational overview of RL and bandit methods, the book dives into their practical applications across a wide array of...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Lin, Baihan (مؤلف)
مؤلف مشترك: SpringerLink (Online service)
التنسيق: الكتروني كتاب الكتروني
اللغة:الإنجليزية
منشور في: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
الطبعة:1st ed. 2025.
سلاسل:Signals and Communication Technology,
الموضوعات:
Signal processing.
Natural language processing (Computer science).
Computational linguistics.
Machine learning.
Signal, Speech and Image Processing.
Natural Language Processing (NLP).
Computational Linguistics.
Machine Learning.
الوصول للمادة أونلاين:https://doi.org/10.1007/978-3-031-53720-2
الوسوم: إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
جدول المحتويات:
  • Part I. A New Learning Paradigm in Speech and Language Technology
  • Chapter 1. RL+SLT: Emerging RL-Powered Speech and Language Technologies
  • Chapter 2. Why is RL+SLT Important, Now and How?
  • Part II. Bandits and Reinforcement Learning: A Gentle Introduction
  • Chapter 3. Introduction to the Bandit Problems
  • Chapter 4. Reinforcement Learning: Preliminaries and Terminologies
  • Chapter 5. The RL Toolkit: A Spectrum of Algorithms
  • Chapter 6. Inverse Reinforcement Learning Problem
  • Chapter 7. Behavioral Cloning and Imitation Learning
  • Part III. Reinforcement Learning in SLT Applications
  • Chapter 8. Reinforcement Learning Formulations for Speech and Language Applications
  • Chapter 9. Reinforcement Learning in Automatic Speech Recognition (ASR): The Voice-First Revolution
  • Chapter 10. Reinforcement Learning in Speaker Recognition and Diarization: Decoding the Voices in the Crowd
  • Chapter 11. Reinforcement Learning in Natural Language Understanding (NLU): Teaching Machines to Comprehend
  • Chapter 12. Reinforcement Learning in Spoken Language Understanding (SLU): Giving Machines an Ear for Understanding
  • Chapter 13. Reinforcement Learning in Text-to-Speech (TTS) Synthesis: Giving Machines a Voice
  • Chapter 14. Reinforcement Learning in Natural Language Generation (NLG): Machines as Wordsmiths
  • Chapter 15. Reinforcement Learning in Large Language Models (LLM): The Rise of AI Language Giants
  • Chapter 16. Reinforcement Learning in Conversational Recommendation Systems (CRS): AI’s Personal Touch
  • Part IV. Advanced Topics and Future Avenues
  • Chapter 17. Emerging Strategies in Reinforcement Learning Methods
  • Chapter 18. Navigating the Frontiers: Key Challenges and Opportunities in RL-Powered Speech and Language Technology
  • Chapter 19. Reflections, Resources, and Future Horizons in RL+SLT.

مواد مشابهة