Ancy S. Anselam

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This paper describes the analysis of the audio and speech output of the 16 kb/s Low Delay CELP algorithm (LD-CELP). For various speech file conversions, the SoX (Sound eXchange) tool is used. Praat software is used to extract details regarding the quality of the sound synthesized by the coder. The C program of the coder was compiled using the GCC compiler(More)
The design of high quality speech coders with low data rate is a very challenging task in speech processing. CELP provides good quality coded speech at a very low bit rate of 4.8kbps. Two types of codebooks namely Gaussian codebook and Fixed codebook are used in this analysis. The changes in the performance of the CELP codec is evaluated for theses two(More)
Linear predictive coders form an important class of speech coders. This paper describes the software level implementation of linear prediction based vocoders, viz. Code Excited Linear Prediction (CELP), Low-Delay CELP (LD-CELP) and Mixed Excitation Linear Prediction (MELP) at bit rates of 4.8 kb/s, 16 kb/s and 2.4 kb/s respectively. The C programs of the(More)
In modern communication systems, number of users to access the wired and wireless networks has increased rapidly. Consequently, the use of channel capacity has to be increased. Speech compression aims to compress the speech signal to attain maximum channel capacity with lower bit rate and highest quality. G.729 is one of the widely used standard in ITU-T(More)
Speech coders based on the linear prediction model are widely in use today. This paper describes the algorithms of low bit-rate vocoders, viz. Code-Excited Linear Prediction (CELP) and Mixed Excitation Linear Prediction (MELP) and their performance for Indian dialects. A Linux platform has been used for execution of the vocoders. Mean Opinion Score testing(More)
Attractive improvements have been made during these days in coding speech with high quality at low bit rates and low delay. The need for low bit rate speech coding algorithms continues, supported by the ever increasing number of users to the wireless communication networks. This paper discusses the implementation details of Code Excited Linear Prediction(More)
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