Prosodically guided syllable based speaker independent isolated Turkish word recognizer

Ersoy, Cem.

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dc.contributor	Graduate Program in Electrical and Electronic Engineering.
dc.contributor.advisor	The purpose of this thesis is to realize a prosodically guided, syllable based, limited-vocabulary, speaker-independent Turkish word recognizer and studying the effects of various parameters on the recognition rate. Basic recognition units are the syllables which form the words in the vocabulary according to the prosodical rules, of Turkish. The input of the system is the 18-word vocabulary spoken by 4 different speakers. The speech is first filtered with a low-pass filter which has cutoff at 3.5 kHz, then sampled at 8 kHz and fed into the PDP 11/23 microcomputer which processes the data. The output is the best estimate of the word at the input. The endpoints of the syllables are found using pitch-period and energy information. The feature sets used for the test and reference templates consist of the coefficients of a 10-pole LPC filter. The comparison between the test and reference templates is performed by dynamic time warping and log-likelihood. similarity measures. Also Turkish prosodical rules are used for reducing the calculation efforts during the comparison. And finally K-Nearest-Neighbour decision rule gives the best estimate of the word at the input. Various runs with different parameters and different speakers were performed and the observations and results are reported in the thesis.
dc.contributor.advisor	Sankur, Bülent.
dc.contributor.author	Ersoy, Cem.
dc.date.accessioned	2023-03-16T10:21:54Z
dc.date.available	2023-03-16T10:21:54Z
dc.date.issued	1986.
dc.identifier.other	EE 1986 Er8
dc.identifier.uri	http://digitalarchive.boun.edu.tr/handle/123456789/13047
dc.format.extent	30 cm.
dc.publisher	Thesis (M.S.)- Bogazici University. Institute for Graduate Studies in Science and Engineering, 1986.
dc.relation	Includes appendices.
dc.relation	Includes appendices.
dc.subject.lcsh	Speech processing systems.
dc.subject.lcsh	Automatic speech recognition.
dc.subject.lcsh	Speech synthesis.
dc.title	Prosodically guided syllable based speaker independent isolated Turkish word recognizer
dc.format.pages	xiii, 90 leaves;