Spoken Language Processing: A Guide to Theory, Algorithm and System Development (美國原版)

*New advances in spoken language processing: theory and practice *In-depth coverage of speech processing, speech recognition, speech synthesis, spoken language understanding, and speech interface design *Many case studies from state-of-the-art systems, including examples from Microsofts advanced research labs Spoken Language Processing draws on the latest advances and techniques from multiple fields: computer science, electrical engineering, acoustics, linguistics, mathematics, psychology, and beyond. Starting with the fundamentals, it presents all this and more: *Essential background on speech production and perception, probability and information theory, and pattern recognition *Extracting information from the speech signal: useful representations and practical compression solutions *Modern speech recognition techniques: hidden Markov models, acoustic and language modeling, improving resistance to environmental noises, search algorithms, and large vocabulary speech recognition *Text-to-speech: analyzing documents, pitch and duration controls; trainable synthesis, and more *Spoken language understanding: dialog management, spoken language applications, and multimodal interfaces. T

新的口語語言處理進展：理論與實踐
深入探討語音處理、語音識別、語音合成、口語理解和語音介面設計
包含許多來自最先進系統的案例研究，包括微軟先進研究實驗室的例子
《口語語言處理》借鑒了來自多個領域的最新進展和技術：計算機科學、電氣工程、聲學、語言學、數學、心理學等等。從基礎知識開始，它呈現了以下內容：
- 語音產生和感知的基本背景，概率和信息理論，以及模式識別
- 從語音信號中提取信息：有用的表示和實用的壓縮解決方案
- 現代語音識別技術：隱馬爾可夫模型、聲學和語言建模、提高對環境噪音的抵抗力、搜索算法和大詞彙語音識別
- 文本轉語音：分析文件、音高和持續時間控制；可訓練合成等等
- 口語理解：對話管理、口語應用和多模式界面。