An efficient stochastically excited linear predictive coding algorithm for high quality low bit rate transmission of speech

Kleijn, W. Bastiaan; Krasinski, D. J.; Ketchum, R. H.

doi:10.1016/0167-6393(88)90076-3

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Linear Predictive Coding1

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2015

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Cited by 34 publications

(1 citation statement)

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“…Similar to MFCC, Linear Predictive Coding (LPC) is another method widely used in the literature of ASR [15,18,28,29,39,42,58]. Numerous researchers select LPC as their feature extraction method because it is one of the most powerful speech analysis techniques, and one of the most advantageous methods applied to encode good quality speech at low bit rates, while providing at the same time accurate estimates of the speech signal.…”

Section: Linear Predictive Codingmentioning

confidence: 99%

Classifying infant cry patterns by the Genetic Selection of a Fuzzy Model

Rosales-Pérez

Reyes-García

González

et al. 2015

Biomedical Signal Processing and Control

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Section: Linear Predictive Codingmentioning

confidence: 99%

Classifying infant cry patterns by the Genetic Selection of a Fuzzy Model

Rosales-Pérez

Reyes-García

González

et al. 2015

Biomedical Signal Processing and Control

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Principles of Speech Coding

Feng¹,

Girin²

2009

Spoken Language Processing

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The RCELP speech‐coding algorithm

Kleijn

Kroon

Nahumi

1994

Trans Emerging Tel Tech

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At bit rates between 4 and 16 kbit/s, many state‐of‐the‐art speech coding algorithms fall into the class of linear‐prediction based analysis‐by‐synthesis (LPAS) speech coders. At the lower bit rates the waveform‐matching, on which LPAS coders rely, constrains the speech quality. To overcome this drawback, we present a coder (RCELP) that uses a generalization of the analysis‐by‐synthesis paradigm. This generalization relaxes the waveform‐matching constraints without affecting speech quality. We describe several implementations at bit rates between 4 and 6 kbit/s. MOS tests show that a 6 kbit/s RCELP has a quality similar or better than the 13 kbit/s GSM full‐rate coder, and a 4.4 kbit/s RCELP has a speech quality significantly better than the 4.8 kbit/s FS1016 standard.

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An efficient stochastically excited linear predictive coding algorithm for high quality low bit rate transmission of speech

Cited by 34 publications

References 10 publications

Classifying infant cry patterns by the Genetic Selection of a Fuzzy Model

Classifying infant cry patterns by the Genetic Selection of a Fuzzy Model

Principles of Speech Coding

The RCELP speech‐coding algorithm

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