Intelligent Hands Free Speech based SMS System on Android

被引:0
|
作者
Dharmale, Gulbakshee [1 ]
Thakare, Vilas [1 ]
Patil, Dipti D. [2 ]
机构
[1] SGB Amravati Univ, Dept Comp Sci, Amravati, India
[2] Pune Univ, MKSSSs CCOEW, Dept Comp Engn, Pune, Maharashtra, India
关键词
HMM; Speech Recognition (SR); Android;
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
Over the years speech recognition has taken the market. The speech input can be used in varying domains such as automatic reader and for inputting data to the system. Speech recognition can minimize the use of text and other types of input, at the same time minimizing the calculation needed for the process. A decade back speech recognition was difficult to use in any system, but with elevation in technology leading to new algorithms, techniques and advanced tools. Now it is possible to generate the desired speech recognition output. One such method is the hidden markov models which is used in this paper. Voice or signaled input is inserted through any speech device such as microphone, then speech can be processed and convert it to text hence able to send SMS, also Phone number can be entering either by voice or you may select it from contact list. Voice has opened up data input for a variety of user's such as illiterate, handicapped, as if the person cannot write then the speech input is a boon and other's too which can lead to better usage of the application.
引用
收藏
页码:69 / 73
页数:5
相关论文
共 50 条
  • [21] Speech enhancement for hands-free terminals
    Grbic, N
    Nordholm, S
    Johansson, A
    ISPA 2001: PROCEEDINGS OF THE 2ND INTERNATIONAL SYMPOSIUM ON IMAGE AND SIGNAL PROCESSING AND ANALYSIS, 2001, : 435 - 440
  • [22] The research of android intelligent fan system
    Li, Dejun
    Xie, Zheng
    Lu, Xiaobo
    PROCEEDINGS OF THE 2015 4TH INTERNATIONAL CONFERENCE ON COMPUTER, MECHATRONICS, CONTROL AND ELECTRONIC ENGINEERING (ICCMCEE 2015), 2015, 37 : 1072 - 1075
  • [23] Intelligent transcription system based on spontaneous speech processing
    Kawahara, Tatsuya
    ICKS 2007: SECOND INTERNATIONAL CONFERENCE ON INFORMATICS RESEARCH FOR DEVELOPMENT OF KNOWLEDGE SOCIETY INFRASTRUCTURE, PROCEEDINGS, 2007, : 19 - 26
  • [24] EMG and Visual based HMI for hands-free control of an intelligent wheelchair
    Wei, Lai
    Hu, Huosheng
    2010 8TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), 2010, : 1027 - 1032
  • [25] Adaptive pitch-based speech detection for hands-free applications
    Abu-El-Quran, AR
    Goubran, RA
    2005 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1-5: SPEECH PROCESSING, 2005, : 305 - 308
  • [26] Sector-based detection for hands-free speech enhancement in cars
    Lathoud, Guillaume
    Bourgeois, Julien
    Freudenberger, Jürgen
    Eurasip Journal on Applied Signal Processing, 2006, 2006
  • [27] Energy-based speech enhancement technique for hands-free communication
    Rahmani, M.
    Yousefian, N.
    Akbari, A.
    ELECTRONICS LETTERS, 2009, 45 (01) : 85 - 86
  • [28] Sector-based detection for hands-free speech enhancement in cars
    Lathoud, Guillaume
    Bourgeois, Julien
    Freudenberger, Juergen
    EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING, 2006, 2006 (1)
  • [29] Sector-Based Detection for Hands-Free Speech Enhancement in Cars
    Guillaume Lathoud
    Julien Bourgeois
    Jürgen Freudenberger
    EURASIP Journal on Advances in Signal Processing, 2006
  • [30] Speech recognizer-based microphone array processing for robust hands-free speech recognition
    Seltzer, ML
    Raj, B
    Stern, RM
    2002 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I-IV, PROCEEDINGS, 2002, : 897 - 900