| Type of Material: | Thesis |
| Title: | A Modern Approach to Convert Nam and Stuttered Speech into Normal Speech by Using DSP with ANN |
| Researcher: | Vaidianathan,B |
| Guide: | Arul Selvi ,S |
| Department: | Department of Electronics and Communication Engineering |
| Publisher: | Bharath University, Chennai |
| Place: | Chennai |
| Year: | 2021 |
| Language: | English |
| Subject: | Computer Science | Computer Science Artificial Intelligence | Engineering and Technology |
| Dissertation/Thesis Note: | PhD; Department of Electronics and Communication Engineering, Bharath University, Chennai, Chennai; 2021; D14EC010 |
| Fulltext: | Shodhganga |
| 000 | 00000ntm a2200000ua 4500 | |
| 001 | 454945 | |
| 003 | IN-AhILN | |
| 005 | 2024-09-20 10:45:12 | |
| 008 | __ | 240920t2021||||ii#||||g|m||||||||||eng|| |
| 035 | __ | |a(IN-AhILN)th_454945 |
| 040 | __ | |aBHAU_600073|dIN-AhILN |
| 041 | __ | |aeng |
| 100 | __ | |aVaidianathan,B|eResearcher |
| 110 | __ | |aDepartment of Electronics and Communication Engineering|bBharath University, Chennai|dChennai|ein|0U-0446 |
| 245 | __ | |aA Modern Approach to Convert Nam and Stuttered Speech into Normal Speech by Using DSP with ANN |
| 260 | __ | |aChennai|c2021|bBharath University, Chennai |
| 300 | __ | |dDVD |
| 502 | __ | |bPhD|cDepartment of Electronics and Communication Engineering, Bharath University, Chennai, Chennai|d2021|oD14EC010 |
| 520 | __ | |aNAM and Stammering speech is considered as a Non audible murmuring voice which is considered as an unrecognizable speech signal. Due to the above factor it is necessary to convert the NAM and stuttered speech into recognizable speech as well as text. In order to achieve this conversion some specific procedures, techniques, algorithms are necessarily to be used in an appropriate manner. Here the conversion process are considered into four stages such that each stage perform the separate tasks in a regular time interval. In the first stage either NAM or stuttered speech signal is transferred into the recognized word by using NAM Microphone along with HMM and DWT methods. Further to this the recognized speech is modified for the speech synthesis processing whereas the parametric measurements are updated in this section and also the causes and minimization of interferences are completely analyzed such that measurement of the vibration of voice signals are also effectively carried out. The next stage is the supp |
| 653 | __ | |aComputer Science |
| 653 | __ | |aComputer Science Artificial Intelligence |
| 653 | __ | |aEngineering and Technology |
| 700 | __ | |aArul Selvi ,S|eGuide |
| 856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/350375|yShodhganga |
| 905 | __ | |afromsg |
User Feedback Comes Under This section.