Kannada Speech Recognition System for Aphasic people

被引:0
|
作者
Aishwarya, Jaya [1 ]
Kundapur, Poornima Panduranga [1 ]
Kumar, Sampath [1 ]
Hareesha, K. S. [1 ]
机构
[1] Manipal Acad Higher Educ, Manipal Inst Technol, Manipal, Karnataka, India
关键词
Aphasia; ASR; Automatic Speech Recognition; speech therapy;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Aphasia is a loss or an impairment of language that is due to brain damage, which affects the production of speech and the ability to read or write. his lead to the necessity of large human resources in terms of a speech therapist and physicians, caretakers, etc. Having an automatic computer/mobile-based technology for the detection, evaluation and providing timely feedback would give a great benefit to the medical community immensely. It also speeds up the process with minimum efforts. This has motivated us to create a knowledge base to build machine learning model to understand and learn from the available data for an accurate prediction. The Automatic Speech Recognition (ASR) technology has the potential to enable individuals with aphasia using computer based conversion of spoken word to a text form. This would make it possible for language therapy software to provide feedback about the correctness of the user's spoken utterances or to engage the user in spoken dialog practice or other language therapy activities. ASR hence must be developed further in order to make it feasible for people with speech impairments.
引用
收藏
页码:1753 / 1756
页数:4
相关论文
共 50 条
  • [1] Continuous Kannada Speech Recognition System Under Degraded Condition
    P. S. Praveen Kumar
    G. Thimmaraja Yadava
    H. S. Jayanna
    [J]. Circuits, Systems, and Signal Processing, 2020, 39 : 391 - 419
  • [2] Robust Automatic Speech Recognition System for the Recognition of Continuous Kannada Speech Sentences in the Presence of Noise
    Mahadevaswamy
    [J]. WIRELESS PERSONAL COMMUNICATIONS, 2023, 130 (03) : 2039 - 2058
  • [3] Performance Analysis of Isolated Speech Recognition System Using Kannada Speech Database
    Thalengala, Ananthakrishna
    Shama, Kumara
    Mangalore, Maithri
    [J]. PERTANIKA JOURNAL OF SCIENCE AND TECHNOLOGY, 2018, 26 (04): : 1849 - 1866
  • [5] Continuous Kannada Speech Recognition System Under Degraded Condition
    Praveen Kumar, P. S.
    Thimmaraja Yadava, G.
    Jayanna, H. S.
    [J]. CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 2020, 39 (01) : 391 - 419
  • [6] Continuous Kannada Noisy Speech Recognition
    Pasha, Nadeem
    Roopa, S.
    [J]. 2018 INTERNATIONAL CONFERENCE ON RECENT INNOVATIONS IN ELECTRICAL, ELECTRONICS & COMMUNICATION ENGINEERING (ICRIEECE 2018), 2018, : 857 - 861
  • [7] Automatic Isolated Kannada Speech Recognition System under Degraded Conditions
    Yadava, Thimmaraja G.
    Jayanna, H. S.
    [J]. 2019 4TH INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONICS, COMMUNICATION, COMPUTER TECHNOLOGIES AND OPTIMIZATION TECHNIQUES (ICEECCOT), 2019, : 146 - 150
  • [8] Noise Elimination in Degraded Kannada Speech Signal for Speech Recognition
    Yadava, Thimmaraja G.
    Prakash, Jai T. S.
    Jayanna, H. S.
    [J]. 2015 INTERNATIONAL CONFERENCE ON TRENDS IN AUTOMATION, COMMUNICATIONS AND COMPUTING TECHNOLOGY (I-TACT-15), 2015,
  • [9] LPC Based Speech Recognition for Kannada Vowels
    Unnibhavi, Anand H.
    Jangamshetti, D. S.
    [J]. 2017 INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONICS, COMMUNICATION, COMPUTER, AND OPTIMIZATION TECHNIQUES (ICEECCOT), 2017, : 642 - 645
  • [10] Text To Speech System For Kannada Language
    Joshi, Anusha
    Chabbi, Deepa
    Suman, M.
    Kulkarni, Suprita
    [J]. 2015 INTERNATIONAL CONFERENCE ON COMMUNICATIONS AND SIGNAL PROCESSING (ICCSP), 2015, : 1901 - 1904