Telugu Speech Recognition on LSF and DNN Techniques
Y.Sangeetha1, Archek Praveen Kumar2, Neerudu Uma Maheshwari3, Rodda Srinivas4, P. Jyothi5
1Y. Sangeetha, Assistant Professor, Department of ECE, Malla Reddy College of Engineering for Women, Hyderabad, Telangana, India.
2Dr. Archek Praveen Kumar, Professor, HOD, Department of ECE, Malla Reddy College of Engineering for Women, Hyderabad, Telangana, India.
3Neerudu Uma Maheshwari, Assistant Professor, Department of ECE, Malla Reddy College of Engineering for Women, Hyderabad, Telangana, India.
4Rodda Srinivas Assistant Professor, Department of ECE, Malla Reddy College of Engineering for Women, Hyderabad, Telangana, India.
5P. Jyothi, Assistant Professor, Department of ECE, Malla Reddy College of Engineering for Women, Hyderabad, Telangana, India.
Manuscript received on November 20, 2019. | Revised Manuscript received on November 28, 2019. | Manuscript published on 30 November, 2019. | PP: 7160-7172 | Volume-8 Issue-4, November 2019. | Retrieval Number: D5257118419/2019©BEIESP | DOI: 10.35940/ijrte.D5257.118419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This fast world is running with machine and human interaction. This kind of interaction is not an easy task. For proper interaction between human and machine speech recognition is major area where the machine should understand the speech properly to perform the tasks. So ASR have been developed which improvised the HMIS (“Human Machine Interaction systems”) technology in to the deep level. This research focuses on speech recognition over “Telugu language”, which is used in Telugu HMI systems. This paper uses LSF (linear spectral frequencies) technique for feature extraction and DNN for feature classification which finally produced the effective results. Many other recognition systems also used these techniques but for Telugu language this are the most suitable techniques.
Keywords: Speech Recognition, Telugu Language, LSF, DNN..
Scope of the Article: Natural Language Processing and Machine Translation.