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Reinforcement Learning Methods in Speech and Language Technology

Reinforcement Learning Methods in Speech and Language Technology

Hardcover

Series: Signals and Communication Technology

LinguisticsTechnology & EngineeringGeneral Computers

ISBN10: 303153719X
ISBN13: 9783031537196
Publisher: Springer
Published: Nov 12 2024
Pages: 202
Weight: 1.04
Height: 0.72 Width: 6.45 Depth: 9.34
Language: English

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 speech and language tasks. Readers will gain insights into how these methods shape solutions in automatic speech recognition (ASR), speaker recognition, diarization, spoken and natural language understanding (SLU/NLU), text-to-speech (TTS) synthesis, natural language generation (NLG), and conversational recommendation systems (CRS). Further, the book delves into cutting-edge developments in large language models (LLMs) and discusses the latest strategies in RL, highlighting the emerging fields of multi-agent systems and transfer learning.

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