A Survey On: Continuous Voice Recognition Techniques
Journal: International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) (Vol.4, No. 3)Publication Date: 2015-07-10
Authors : Swati Atame; Shanthi Therese S.; Madhuri Gedam;
Page : 37-41
Keywords : Keywords: Speech Recognition; Speaker Recognition; Singer Identification; Feature Extraction; MFCC; LPC; HMM; DTW; Pattern matching.;
Abstract
Abstract There is a large amount of requirement for the digital data which is also called as digital multimedia which is used worldwide for almost all activities that carried out our day-today lives. To support these activities there are different formats of data for audio depending upon the requirement . It can be jpeg, mpeg, .wav etc. For efficient use and retrieval of audio signal different technologies are used by different users. One of the technologies used in these field is Automatic Singer identification which is used to recognize from features of the audio signal , the singer of the song or who is the one who is singing, the genuine singer[5].This same area of singer identification and recognition can be utilized in the bioinformatics where by the voice of the singer is used to gain access to a particular singer. The system would be very much useful to singers of the song who are actual singers and also to the common man who can store their speech and can later this input signal it to access the system. For the professional singers , there are many possibilities that the original singers voice is get mimicked which may in this situation lead to pirated copies of the voice of the singer which are then sold in to the market
Other Latest Articles
- New Approach for Security Chatting in Real Time
- HYBRID CLASSIFICATION ALGORITHMS FOR TERRORISM PREDICTION in Middle East and North Africa
- Effect of Time on Anodized Al2O3 Nanopore FESEM Images using Digital Image Processing Techniques: A Study on Computational Chemistry
- A Novel Approach to Implement Feature Extraction of Hyper spectral Images
- Agent approach to Feature Based Image Retrieval in a Network
Last modified: 2015-07-10 13:53:35