A Study of Low Bit-Rate Linear Prediction Based Speech Coders for Indian Dialects

被引：0

作者：

Mathew, Lani Rachel ^{[1
]}

Anselam, Ancy S. ^{[1
]}

Pillai, Sakuntala S. ^{[1
]}

机构：

[1] Mar Baselios Coll Engn & Technol, Dept Elect & Commun, Thiruvananthapuram 695015, Kerala, India

来源：

2014 INTERNATIONAL CONFERENCE ON CONTROL, INSTRUMENTATION, COMMUNICATION AND COMPUTATIONAL TECHNOLOGIES (ICCICCT) | 2014年

关键词：

Vocoder; linear prediction; code excited; low delay; mixed excitation; CELP; MELP; Praat; Linux;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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 has been performed with speech samples of Indian dialects and Indian-accented English. Waveform analysis has been done using Praat software. Results show that CELP which operates at a higher bit rate of 4.8 kb/s gives better quality output. MELP speech output is intelligible and suited for very low bit-rate (2.4 kb/s) applications. The results also highlight the need for better codebook tuning in Indian dialects.

引用

页码：403 / 408

页数：6

共 42 条

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