Vector Quantization for Stuttered Speech Recognition
Abstract
In current trends main challenges in stuttered speech recognition are detection of stuttering fluency disorders like repetitions, prolongations, and interjections of words, silent pauses, broken words, incomplete phrases and revisions between the words. In the proposed work, silent pauses and stopgaps of stuttered speech is considered for recognition. Mel Frequency Cepstral Coefficient (MFCC) and K-Means are the anticipated methods for classification of stuttered speech with salient pause and repetitions.
Full Text:
PDFReferences
Noth E., Niemann H., Haderlein T., Decher M., Eysholdt U., Rosanowski F., Wittenberg T., “Automatic stuttering recognition using Hidden Markov Models” , Proc. Int. Conf. on Spoken Language Processing, vol. 4, Bejing, China, 2000, pp 65-68.
Czyzewski A, Kaczmarek A, Kostek B.” Intelligent processing of stuttered speech. Journal of Intelligent Information Systems”, 2003; 21(2):143–71.
Szczurowska I., Kuniszyk-JÓ´Zkowikak W., Smołka E., “The Application of Kohonen and Multilayer Perceptron Networks in the Speech Nonfluecy Analysis”, Archives of Acoustics, vol. 31, 2006, pp 205.
Swietlicka I., Kuniszyk-Jó´ZKOWIKAK Zkowikak W., Smołka E., “Artificial Neural
Networks in the Disabled Speech Analysis, in Computer Recognition System”, 3. vol. 57/2009, Springer Berlin / Heidelberg, May 12, 2009, pp. 347-354.
Maier A., Haderlein T., Eysholdt U., Rosanowski F., Batliner A., Schuster M., Noth E., Peaks,” A system for the automatic evaluation of voice and speech disorders, Speech Communication”, 51, 2009, pp. 425-437.
M.A.Anusuya, S.K.Katti, “Speaker Independent Kannada Speech Recognition using Vector quantization “,2012
P. Mahesha, D.S. Vinod, Automatic Classification of Dysfluencies in Stuttered Speech using MFCC “, 2012
Szczurowska I, Jozkowiak WK, Smolka E., The application of Kohonen and Multilayer Perceptron Networks in the speech nonfluency analysis. Archives of Acoustics”, 2014; 31(4)
Marek WI´Sniewski, Wiesława Kuniszyk-JÓ´Zkowiak,”Automatic Detection of Stuttering in a Speech”, 2015
V.Naveen Kumar1, Y Padma Sai, C Om Prakash,”Design and Implementation of Silent Pause Stuttered Speech Recognition System”, 2015.
Refbacks
- There are currently no refbacks.