Implementation of attractive Speech Quality for Mixed Excited Linear Prediction

نویسندگان

  • Haresh Miyani
  • Aalay Mehta
  • Pratik Nai
  • Harshad Patel
چکیده

Nowadays the number of mobile subscribers is increasing all over the world, so the system for the communication has to be improved. Mixed Excited Linear Prediction (MELP) algorithm is developed for reducing the bandwidth of the signal as well as transmission of large data on a single channel. This results in increase channel capacity. This also results in, increasing the number of user in a channel. MELP is basically a speech coding method, relying on a Speech Encoder and Speech Decoder. The MELP speech coder reduces the redundancy of the signal and compresses it which is represented by the MELP code. Speech Decoder includes a Linear Predictive Coding (LPC) filter providing a synthesized speech at its output side in response to voice and unvoiced. MELP also reduces jitter voice. The bit rate of MELP is reducing the reserves of the code book and calculation complexity. This paper describes “the bit rates of MELP coder can be reduced to as low as 2.4kbps without apparent damage to the speech quality.”

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تاریخ انتشار 2014