文章基本信息

标题：Speech & Speaker Recognition for Romanian Language
本地全文：下载
作者：Eugeniu Vezeteu ; Dragoș-Florin Sburlan ; Elena Pelican 等
期刊名称：Romanian Conference on Human-Computer Interaction
印刷版ISSN：2344-1690
出版年度：2018
卷号：RoCHI 2018
页码：54-62
语种：English
出版社：Matrix ROM
摘要：The present paper illustrates the main methods that can be employed to build a speech and speaker recognition system for Romanian language. To this aim, we start by presenting the classical approach of extracting the Mell Frequency Cepstral Coefficients features from a dataset of speech signals (which represents some words/phrases in Romanian language). The recognition is done either by using Dynamic Time Warping (DTW) or by training an Convolutional Neural Network. A comparison between these models is presented and commented. Once such a system is developed, we proceed further by implementing an application that listens and executes some predefined commands. In our setup, the system performs two main tasks: it recognizes the user by his voice and executes a task corresponding to the vocal command. Source code can be downloaded at: click to download