Speech analysis and synthesis methods developed at ECL in NTT-From LPC to LSP-
Speech Communication - Special issue: Speech research in Japan
Efficient Algorithm to Compute LSP Parameters from 10th-order LPC Coefficients
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97)-Volume 3 - Volume 3
A comparison of front-ends for bitstream-based ASR over IP
Signal Processing
Robust and efficient quantization of speech LSP parameters using structured vector quantizers
ICASSP '91 Proceedings of the Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference
Efficient vector quantization of LPC parameters at 24 bits/frame
ICASSP '91 Proceedings of the Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference
Spectral sharpening for speech enhancement/noise reduction
ICASSP '91 Proceedings of the Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference
Switched prediction and quantization of LSP frequencies
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 02
Linguistic mapping in LSF space for low-bit rate coding
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 02
A long history quantization approach to scalar and vector quantization of LSP coefficients
ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: speech processing - Volume II
Vector quantizer design for the coding of LSF parameters
ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: speech processing - Volume II
Quantizer design in LSP speech analysis-synthesis
IEEE Journal on Selected Areas in Communications
International Journal of Biometrics
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Linear prediction-based coders commonly utilise line spectral pairs (LSPs) to represent linear prediction coefficients for reasons of filter stability and representational efficiency. LSPs have other useful properties such as an ordering related to the spectral properties of the underlying data, which leads to advantages when used for analysing speech and other signals. This paper reviews the LSP representation, conversion and quantization processes, computational issues associated with the implementation of LSP-based methods, and their use in speech analysis and processing. In addition, this paper presents LSP manipulation methods that can be used to alter frequencies within the represented signal in a consistent and relevant way, and considers the use of LSPs for analysis of non-speech information.