M.Sc. Tezi Görüntüleme

Student: Salim KAHVECİ
Supervisor: Asst. Prof. Dr. Ali GANGAL
Department: Electrical and Electronics Engineering
Institution: Graduate School of Natural and Applied Sciences
University: Karadeniz Technical University, Turkey
Title of the Thesis: STUDYING OF THE CODE-EXCITED LINEAR PREDICTION OF SPEECH CODING
Level: M.Sc.
Acceptance Date: 1/7/1999
Number of Pages: 77
Registration Number: i1038
Summary:

      It is possible that transmission of speech signal over the channels which have low capacity by using digital coding techniques and its storage by using a low memory. In this thesis, it was examined a general structure of the speech coding systems with code-excited linear predictive coders.

      Analysis-synthesis process is generally done for coding of speech signals. While analysis process is implemented at the transmitter, synthesis process is implemented at the receiver. Linear prediction coding technique is used in the analysis-synthesis process. At analysis process, indexes and gains of stochastic and adaptive code tables for the related speech signal that are found with search algorithms. Synthesis of the speech signals sent from same stochastic and adaptive code tables is done by using these indexes and gains at the receiver.

      In this working subjects as predictor conception, determination of window functions and pitch period, all of which effective on performancing of the speech coding, were investigated with details. Various coding techniques were compared from the point of view amount of process, data rate, signal/noise ration and audial quality.

      From the results obtained, it has been viewed that code-excited linear prediction speech coders have an excellent performance.

      

Keywords:

      Speech Signals, Speech Coding, Linear Predictive Coefficients, Pitch Period, Linear Prediction.