Detection and Identification of a required keyword within an audio content
Naresh E1, Vijaya Kumar B. P2, Niranjanamurthy M3
1Naresh E, Research Scholar, CSE, Jain University, Department of Information Science and Engineering, M S Ramaiah Instituter of Technology, Bengaluru, India.
2Vijaya Kumar B. P, Department of Information Science and Engineering, M S Ramaiah Instituter of Technology, Bengaluru, India.
3Niranjanamurthy M, Department of Computer Applications, M S Ramaiah Instituter of Technology, Bengaluru, India.
Manuscript received on 13 March 2019 | Revised Manuscript received on 20 March 2019 | Manuscript published on 30 March 2019 | PP: 250-255 | Volume-7 Issue-6, March 2019 | Retrieval Number: F2234037619/19©BEIESP
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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: In modern era of communication, information sharing is very easy and within reach of every common man. Hence, spreading or sharing of ideology is widely possible in very quick time and creates a huge benefit in real time information sharing. With technology there could be a huge possibility of impacting people with harmful information which cannot be tracked. Data privacy is an important factor hence tapping the voice information or monitoring the information becomes illegal so we propose a method based on voice to text conversion and then performing data filtration. The proposed method converts voice to text and looks for illegal words as described by admin and reports the same with number of occurrence of the words with time stamp. The paper proposes a Smart Data Filtration (SDF) technique and extracting Mel frequency and other time domain statistical parameter associated with voice signal. The proposed system was tested on 102 samples of 20 seconds each, where the proposed methodology has shown a high efficiency in tackling the problem associated with violence and hatred speech sharing.
Keywords: Smart data filtration, Voice to text, Mel frequency, Suspicious words.
Scope of the Article: Smart Antenna.