Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 227,460,507 papers from all fields of science
Search
Sign In
Create Free Account
Code-excited linear prediction
Known as:
Codebook excited linear prediction
, Code Excited Linear Prediction
, Conjugate-structure algebraic code-excited linear prediction
Expand
Code-excited linear prediction (CELP) is a speech coding algorithm originally proposed by M. R. Schroeder and B. S. Atal in 1985. At the time, it…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
25 relations
Algebraic code-excited linear prediction
Bandwidth expansion
Cray-1
FS-1015
Expand
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
1999
1999
A 4 kbps adaptive fixed code-excited linear prediction speech coder
H. Kim
,
Mi Suk Lee
,
Hwang-Soo Lee
IEEE International Conference on Acoustics…
1999
Corpus ID: 13912252
We propose an adaptive fixed code-excited linear prediction (AF-CELP) speech coder operating at 4 kbps. By exploiting the fact…
Expand
1995
1995
Pulsed residual excited linear prediction
A. Kondoz
,
J. Horos
,
B. Evans
,
M. Suddle
1995
Corpus ID: 59107426
Linear predictive coding of speech has been widely used at 16 kb/s in the form of adaptive predictive coding (APC) down to 4.8 kb…
Expand
1995
1995
Neural code-excited linear prediction for low power speech compression
S. Kamarsu
,
H. C. Card
IEEE WESCANEX 95. Communications, Power, and…
1995
Corpus ID: 62027532
In this paper, we discuss the use of artificial neural learning methods for low bit-rate speech compression, potentially in non…
Expand
1995
1995
Reconstruction of missing packets for CELP-based speech coders
A. Husain
,
V. Cuperman
IEEE International Conference on Acoustics…
1995
Corpus ID: 39199946
A common aspect of speech transmission through packetised networks is the need to consider the discarded (missing) packets as a…
Expand
1994
1994
Pitch synchronous innovation code excited linear prediction (PSI‐CELP)
S. Miki
,
T. Moriya
,
K. Mano
,
H. Ohmuro
1994
Corpus ID: 62763086
This paper proposes a new speech coding method pitch synchronous innovation code excited linear predictor (PSI-CELP). This method…
Expand
1993
1993
Use of low-delay code-excited linear prediction technology in circuit multiplexed networks
S. Dimolitsas
,
F. Corcoran
,
M. Baraniecki
,
J. G. Phipps
IEEE International Conference on Acoustics…
1993
Corpus ID: 57374171
The LD-CELP (code excited linear prediction) algorithm was adopted by the CCITT, as a Recommendation G.728 for the coding of…
Expand
1992
1992
Pole-zero code excited linear prediction using perceptually weighted error criterion
M. Dunn
,
B. Murray
,
A. Fagan
IEEE International Conference on Acoustics…
1992
Corpus ID: 122311276
A new speech coding algorithm, pole-zero CELP (code excited linear prediction), is proposed in which the short-time spectral…
Expand
Highly Cited
1990
Highly Cited
1990
Fast methods for the CELP speech coding algorithm
W. Kleijn
,
D. J. Krasinski
,
R. H. Ketchum
IEEE Transactions on Acoustics Speech and Signal…
1990
Corpus ID: 3142985
Special fast procedures for the code excited linear predictive coding (CELP) algorithm have been developed to make implementation…
Expand
1989
1989
Binary code excited linear prediction (BCELP): new approach to CELP coding of speech without codebooks
R. Salami
1989
Corpus ID: 62720493
A new analysis-by-synthesis speech coding approach able to produce good quality speech in the vicinity of 4.8 kbit/s is presented…
Expand
1986
1986
On the behaviour of reduced complexity code-excited linear prediction (CELP)
L. A. H. Gómez
,
F. J. Casajús-Quirós
,
A. Figueiras-Vidal
,
R. García-Gómez
ICASSP '86. IEEE International Conference on…
1986
Corpus ID: 60541558
In this paper, we propose a simplification of the model introduced by B.S. Atal and M.R. Schroeder for a code-excited linear…
Expand
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Privacy Policy
(opens in a new tab)
,
Terms of Service
(opens in a new tab)
, and
Dataset License
(opens in a new tab)
ACCEPT & CONTINUE