Prosodic Featured Based Automatic Language Identification

· Educreation Publishing
电子书
134
评分和评价未经验证  了解详情

关于此电子书

Living beings inherently have the ability to differentiate languages as a part of human intelligence. Language Identification (LID) had been a science fiction in 1970's but today; it has been deployed in practical usage. The prosodic features of a speech are relatively simpler in their structure and are accredited to be very affective in some Language Recognition (LR) or LID tasks; irrespective of these features to be biased on numerous factors, as speaker's way of speaking, the culture and background of speaker. The book includes a series of experiments on several speech corpus with different classification or/and identification technique. At the end of each chapter, few review questions have been included and at the verge of the book, a short list of projects for research scholars has been mentioned in addition to a set of MCQs and Important questions. This book motivates for developing a multilingual LID system which can be widely used for betterment of mankind, particularly in the fields of Intelligence Police/Military) services and medical care. In an overview, we may assert that the book explores various experimental datasets, for, performance analysis of LID system with News speech and Natural Conversation speech; Joint Factor Analysis for LR on prosodic featured models and for automatic LID using i-Vector based prosodic system.

作者简介

An alumnus of the prestigious Manipal Group, Niraj Singh, hails from the North Eastern states of India and is a research scholar  in the field of digital communication at Vivekananda Global University, Jaipur. He has presented more than Twenty Five Research Articles in various International and National Conferences or Journals. With diversified academic interests, he is a Business Law Graduate from Annamalai University, Chennai and also holds other Diploma Degrees in Journalism, Mass Communication, Import-Export Management. He is also a member of various technical societies like, IEEE, IEEESPS, UACEE, IAENG, ACM, OSI, MMA and others.

为此电子书评分

欢迎向我们提供反馈意见。

如何阅读

智能手机和平板电脑
只要安装 AndroidiPad/iPhone 版的 Google Play 图书应用,不仅应用内容会自动与您的账号同步,还能让您随时随地在线或离线阅览图书。
笔记本电脑和台式机
您可以使用计算机的网络浏览器聆听您在 Google Play 购买的有声读物。
电子阅读器和其他设备
如果要在 Kobo 电子阅读器等电子墨水屏设备上阅读,您需要下载一个文件,并将其传输到相应设备上。若要将文件传输到受支持的电子阅读器上,请按帮助中心内的详细说明操作。