A Review Paper on Predictive Sound Recognition System
Abstract
Keywords
Full Text:
PDFReferences
Ajay R.Kadam & Ramesh Kagalkar “Predictive Sound Recognization System” International Journal of Advance Research in Computer Science and Management Studies Volume 2, Issue 11, November 2014.
Namgook Cho & Eun-Kyoung Kim “Enhanced-voice activity detection using acoustic event detection & classification” in IEEE Transactions on Consumer Electronics, Vol. 57, No. 1, February 2011.
Shivaji Chaudhari and Ramesh Kagalkar “A Review of Automatic Speaker recognization and Identifying Speaker Emotion Using Voice Signal” International Journal of Science and Research (IJSR), Volume 3, Issue 11 November 2014.
Geoffroy Peeters“spectral and temporal periodicity representations of rhythm,” ieee transactions on audio, speech, and language processing, vol. 19, no. 5, july 2011
Jia-Min Ren, Student Member, IEEE, and Jyh-Shing Roger Jang, Member, IEEE “discovering time constrained sequential patterns for music genre classification” IEEE transactions on audio, speech, and language processing, vol. 20, no. 4, may 2012.
Namgook Choo & Taeyoon Kim “Voice activation system using acoustic event detection and keyword/speaker recognition” 01/2011; DOI: 10.1109/ICCE.2011.5722550
G. Valenzise, L. Gerosa, M. Tagliasacchi, F. Antonacci, and A. Sarti, “Scream and gunshot detection and localization for audio-surveillance systems,” in Proc. IEEE Conf. Adv. Video Signal Based Surveill., 2007, pp. 21–26.
Kyuwoong Hwang and Soo-Young Lee, Member, IEEE “Environmental Audio Scene and Activity Recognitionthrough Mobile-based Crowdsourcing” IEEE Transactions on Consumer Electronics, Vol. 58, No. 2, May 2012.
R. Radhakrishnan, A. Divakaran, and P. Smaragdis, “Audio analysis for surveillance applications,” in Proc. IEEE Workshop Applicat. Signal Process. Audio Acoust., 2005, pp. 158–161.
Proc. (RT-07) Rich Transcription Meeting Recognition Evaluation Plan, [Online]. Available: http://www.nist.gov/speech/tests/rt/rt2007
J. Tchorz and B. Kollmeier, “A model of auditory perception as front end for automatic speech recognition,” J. Acoust. Soc. Amer., vol. 106, no. 4, pp. 2040–2050, 1999.
T. Jaakkola and D. Haussler, “Exploiting generative models in discriminative classifiers,” in Advances in Neural Information Processing Systems. Cambridge, MA: MIT Press, 1998, vol. 11, pp. 487–493.
V. Wan and S. Renals, “Speaker verification using sequence discriminant support vector machines,” IEEE Trans. Speech Audio Process., vol. 13, no. 2, pp. 203–210, Mar. 2005.
T. Jebara and R. Kondor, “Bhattacharyya and expected likelihood kernels,” Lecture Notes in Computer Science, vol. 2777, pp. 57–71, 2003.
W. M. Campbell, D. E. Sturim, and D. A. Reynolds, “Support vector machines using GMM pervectors for speaker verification,” IEEE Signal Process. Lett., vol. 13, no. 5,pp. 308–311, May 2006.
Abeer Alwan, Steven Lulich, Harish Ariskere “The role of subglottal resonances in speech processing algorithms” The Journal of the Acoustical Society of America (Impact Factor:1.56). 04/2015;137(4):2327-2327.
Fred Richardson, Douglas Reynolds, Najim Dehak “Deep Neural Network Approaches to Speaker and Language Recognition” IEEE Signal Processing Letters (Impact Factor: 1.64). 10/2015; 22(10):1-1
Jens Kreitewolf, Angela D Friederici, Katharina von Kriegstein “Hemispheric Lateralization of Linguistic Prosody Recognition in Comparison to Speech and Speaker Recognition.”NeuroImage (Impact Factor: 6.13). 07/2014;102DOI: 10.1016/j.neuroimage.2014.07.0
Kun Han, Yuxuan Wang, DeLiang Wang, William S. Woods, Ivo Merks,Tao Zhang “Learning Spectral Mapping for Speech Dereverberation and Denoising” Audio, Speech, and Language Processing, IEEE/ACM Transactions on 06/2015; 23(6):982-992. DOI: 10.1109/TASLP.2015.2416653
Mikolaj Kundegorski, Philip J.B. Jackson, Bartosz Ziółko” Two-Microphone Dereverberation for Automatic Speech Recognition of Polish” Archives of Acoustics 01/2015; 39(3). DOI: 10.2478/aoa-2014-0045
Kaveri Kamble and Ramesh Kagalkar “Audio Visual Speech Synthesis and Speech Recognition for Hindi Language” International Journal of Computer Science and Information Technologies, Vol. 6 (2) , 2015, 1779-1783.
Abeer Alwan, Steven Lulich, Harish Ariskere” The role of subglottal resonances in speech processing algorithms” The Journal of the Acoustical Society of America (Impact Factor: 1.56). 04/2015; 137(4):2327-2327. DOI: 10.1121/1.4920497
Refbacks
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution 3.0 License.