Language Modeling for Automatic Speech Recognition of Inflective Languages: An Applications-Oriented Approach Using Lexical Data (SpringerBriefs in Electrical and Computer Engineering)

Gregor Donaj

  • 出版商: Springer
  • 出版日期: 2016-09-06
  • 售價: $2,330
  • 貴賓價: 9.5$2,214
  • 語言: 英文
  • 頁數: 80
  • 裝訂: Paperback
  • ISBN: 3319416057
  • ISBN-13: 9783319416052
  • 相關分類: 語音辨識 Speech-recognition
  • 海外代購書籍(需單獨結帳)

商品描述

This book covers language modeling and automatic speech recognition for inflective languages (e.g. Slavic languages), which represent roughly half of the languages spoken in Europe. These languages do not perform as well as English in speech recognition systems and it is therefore harder to develop an application with sufficient quality for the end user. The authors describe the most important language features for the development of a speech recognition system. This is then presented through the analysis of errors in the system and the development of language models and their inclusion in speech recognition systems, which specifically address the errors that are relevant for targeted applications. The error analysis is done with regard to morphological characteristics of the word in the recognized sentences. The book is oriented towards speech recognition with large vocabularies and continuous and even spontaneous speech. Today such applications work with a rather small number of languages compared to the number of spoken languages.

商品描述(中文翻譯)

這本書涵蓋了語言建模和自動語音識別,針對屈折語言(例如斯拉夫語言),這些語言佔歐洲使用的語言的大約一半。這些語言在語音識別系統中的表現不如英語,因此開發一個能夠滿足最終用戶需求的應用程序更加困難。作者描述了開發語音識別系統所需的最重要的語言特徵。通過對系統中的錯誤進行分析,以及開發語言模型並將其納入語音識別系統,專門解決與目標應用程序相關的錯誤。錯誤分析是針對識別句子中單詞的形態特徵進行的。本書針對具有大詞彙量和連續甚至自發性語音的語音識別。與實際使用的語言數量相比,目前這類應用程序僅支持少數語言。