Detection of Attributes for Bengali Phoneme in Continuous Speech using Deep Neural Network

被引：0
|
作者：
Bhowmik, Tanmay [1 ]
Mukherjee, Sankar [2 ]
Das Mandal, Shyamal Kumar [1 ]
机构：
[1] IIT Kharagpur, Ctr Educ Technol, Kharagpur, W Bengal, India
[2] Aix Marseille Univ, CNRS, Lab Parole & Langage, Marseille, France
来源：
2ND INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND INTEGRATED NETWORKS (SPIN) 2015 | 2015年
关键词：
speech attribute; place of articulation; manner of articulation; deep neural network; deep belief network;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Hidden Markov Model (HMM) has contributed greatly in the area of speech recognition during last two decades. However, in recent days, detection-based, bottom-up speech recognition techniques achieve high success rate. In this detection-based, bottom-up approach of speech recognition, first step is detection of speech attributes like place and manner of articulation of the phonemes. This paper describes about the detection of attributes which leads to identification of place and manner of articulation of Bengali phonemes using Deep Neural Network (DNN).
引用
收藏
页码：103 / 108
页数：6
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