Code-excited linear prediction

About: Code-excited linear prediction is a research topic. Over the lifetime, 2025 publications have been published within this topic receiving 28633 citations. The topic is also known as: CELP.

A hybrid sub-band sinusoidal coding scheme.

Abstract: This paper describes a hybrid sub-band speech coding scheme based on sinusoidal coding and CELP. Purely voiced speech is encoded using sinusoidal coding techniques and phase information is selectively transmitted. For mixed and unvoiced speech, the lower band is processed by sinusoidal coding algorithms while the upper band is encoded using CELP. To accommodate the extra bandwidth required by the encoded CELP parameters, the phase information is disregarded. The proposed coder is enhanced by sub-band discrete all-pole modeling and a voicing detection technique based on an analysis-by-synthesis approach. An efficient adaptive spectral shaping technique based on bandwidth widening in the LSP domain is employed. The proposed technique is capable of producing high quality speech at 4.1 kbit/s.

A Comparative Analysis on Speech Enhancement and Coding Techniques

Abstract: The speech data is usually a degraded speech data, which is a combination of clean speech and various noises like vocal, animal noise, instrumental noise and speech from other speakers. The noisy speech data collected and studied in detail for various kinds of noises. The spectral subtraction one of the best algorithms proposed for the enhancement of single channel speech. The speech enhancement is based on two aspects i.e., Noise estimation and Speech estimation, where noise estimation is critical part which has major impact on the quality of enhanced speech. Speech enhancement is used for many applications such as mobile phones, communication, speech recognition etc. The aim of this paper is to provide a comparison study of the different forms of speech enhancement techniques and algorithms by using filters like Kalman filter and Weiner filter on the output of SS- VAD which gives improved enhanced speech signals. Coding techniques like Code Excited Linear Predictive (CELP) Coding and Algebraic Code Excited Linear Predictive (ACELP) Coding algorithm, is also discussed the performance of these are compared with LPC algorithm for speech enhancement.

A CELP-Based Speech-Model Process

Abstract: A new Speech-Model Process (SMP) is proposed as a test signal for speech processing applications to avoid several shortcomings (eg, speaker dependencies) of using natural speech as a test signal The generation procedure for this SMP, which is based on a modified CELP-structure, is presented The controlling part of this SMP involves several Markov chains to adapt the time-varying properties of the process to those of natural speech Furthermore, we show that this signal can also be used as a suitable test signal for telephone speech-applications, if we limit it to the telephone frequency-band

Apparatus for encoding and decoding for transformation between coder based on mdct and hetero-coder

Abstract: The encoding device and the decoding device according to the MDCT-based coder and the conversion between the two kinds of the coder is provided. Encoding apparatus can code the side information in order to restore the encoded input signal according to the time the conversion between the coder of the MDCT-based coder and the two kinds of cause, in the MDCT-based coding scheme. According to the encoding device, for preventing the generation of unwanted bit-stream the other hand, it may encode at least a portion of the information. MDCT, CELP, the audio characteristic signal, the audio characteristic signal, the additional information, the overlap, the window