References
[1]. Suleman Basha, B. Rama Subbaiah, (2014). “Review
of Automatic speech recognition in Signal Processing”.
International Journal of Engineering Research, Vol.3,
No.2, pp.112-115.
[2]. R. Klevansand R. Rodman, (1997). “ Voice
Recognition”, Artech House, Boston, London.
[3]. Samudravijaya K. “Speech and Speaker recognition
tutorial”. TIFR, Mumbai.
[4]. K.H.Davis, R.Biddulph, and S.Balashek, (1952).
“Automatic Recognition of spoken Digits”. The Journal of
the Acoustical Society of America, Vol.24, No.6, pp.637-
642.
[5]. D.B.Fry, (1959). “Theoritical Aspects of Mechanical
speech Recognition“, and P. Denes, “The design and
Operation of the Mechanical Speech Recognizer” at
Universtiy College London, J.British Inst. Radio Engr.,
Vol.19:4, pp.211-299.
[6]. J.W.Forgie and C.D.Forgie, (1959). “Results obtained
from a vowel recognition computer program” J.A.S.A.,
Vo.31(11), pp.1480-1489.
[7]. Asghar .Taheri ,Mohammad Reza Trihi et.al, (2005).
“Fuzzy Hidden Markov Models for speech recognition on
based FEM Algorithm”. Transaction on engineering
Computing and Technology, Vol.4.
[8]. K. Rajendra Prasad, and Dr. P. Govinda Rajulu,
(2010). “A Survey on Clustering Technique for large
databases using Efficient Graph Structures”. The Journal
International Journal of Engineering Science and
Technology(IJEST), Vol.2, No.7.
[9]. Dr. B. Eswara Reddy, and K. Rajendra Prasad, (2012).
“Reducing runtime values in minimum spanning tree
based clustering by visual access tendency”. Int. Journal
of Data Mining & Knowledge Management Process
(IJDKP), Vol.2, No.3.
[10]. K. Rajendra Prasad, and Dr. B. Eswara Reddy, (2013).
“Assessment of clustering tendency through progressive
random sampling and graph-based clustering results”,
3rd IEEE Int. Advanced Computing Conference,
Ghaziabad, India.
[11]. M Senoussaoui, P Kenny, T Stafylakis, P Dumouchel,
(2013). “A Study Of The Cosine Distance-Based Mean Shift
For Telephone Speech Diarization”, IEEE/ACM Transactions
On Audio, Speech, And Language Processing, pp. 99.
[12]. Martin Zelenák et. al, (2012). “Simultaneous Speech
Detection With Spatial Features For Speaker Diarization”.
IEEE Transactions on Audio, Speech, and Language Processing, Vol.20, No.2, pp.436-446.
[13]. Bowen Zhou et. al, (2005). “Efficient Audio Stream
Segmentation Via The Combined T2 Statistic and
Bayesian Information Criterion”. IEEE Transactions on
Speech and Audio Processing, Vol.13, No.4, pp.467-474.
[14]. Sujeeth Bharadwaj et. al, (2013). “Sparse Hidden
Markov Models For Purer Clusters”. IEEE Conf. 2013,
pp.3098-3102
[15]. Yaodong Zhang and James R. Glass, (2009).
“Unsupervised Spoken Keyword Spotting Via Segmental
DTW On Gaussian Posteriorgrams”. IEEE Workshop on
Automatic Speech Recognition & Understanding,
pp.398-403.
[16]. Snani Cherifa et. al, (2013). “Performance Study Of
Vector Quantization Methods (K-Means, GMM) For Arabic
Isolated Word Recognition System Based On DHMM”.
World Congress on Computer and Information
Technology (WCCIT), pp.1-4.
[17]. Mahnoosh Mehrabani, John H.L. Hansen et. al.
(2013). “Singing Speaker Clustering Based On Subspace
Learning In The GMM Mean Supervector Space”. Journal
Of Speech Communication, Elsevier, pp.653-666
[18]. Douglas A. Reynolds et. al, (1995). “Robust Text-
Independent Speaker Identification Using Gaussian
Mixture Models”. IEEE Trans. on Speech And Audio
Processing, Vol.3, No.1, pp.72-83.
