Abstract
This paper proposes a new efficient line spectrum pair (LSP) vector quantization method which uses moving average (MA) interframe prediction of the parameters. This method has two advantages over auto-regressive prediction: the degradation of decoded parameters caused by bit errors affects only a few of the following frames, and codeword decoding can start at any frame. Using MA prediction, the final reconstructed LSP vector (quantized vector) of the current frame is represented as a linear combination of current and previous frame code vectors. In this paper we describe ways to achieve a more efficient LSP coder when each frame has four 10-ms subfraines. The spectral distance obtained by this method at 30 bits per 40 ms is better than that obtained using conventional multi-stage VQ without interframe correlation at 40 bits per 40 ms.
| Original language | English |
|---|---|
| Pages | 63-64 |
| Number of pages | 2 |
| DOIs | |
| Publication status | Published - 1993 Jan 1 |
| Externally published | Yes |
| Event | 1993 IEEE Workshop on Speech Coding for Telecommunications: Speech Coding for the Network of the Future, SCFT 1993 - Sainte-Adele, Canada Duration: 1993 Oct 13 → 1993 Oct 15 |
Conference
| Conference | 1993 IEEE Workshop on Speech Coding for Telecommunications: Speech Coding for the Network of the Future, SCFT 1993 |
|---|---|
| Country | Canada |
| City | Sainte-Adele |
| Period | 93/10/13 → 93/10/15 |
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ASJC Scopus subject areas
- Signal Processing
- Software
- Communication
- Computer Networks and Communications
Cite this
Coding of LSP Parameters Using Interframe Moving Average Prediction and Multi-Stage Vector Quantization. / Ohmuro, H.; Moriya, Takehiro; Mano, Kazunori; Miki, Satoshi.
1993. 63-64 Paper presented at 1993 IEEE Workshop on Speech Coding for Telecommunications: Speech Coding for the Network of the Future, SCFT 1993, Sainte-Adele, Canada.Research output: Contribution to conference › Paper
}
TY - CONF
T1 - Coding of LSP Parameters Using Interframe Moving Average Prediction and Multi-Stage Vector Quantization
AU - Ohmuro, H.
AU - Moriya, Takehiro
AU - Mano, Kazunori
AU - Miki, Satoshi
PY - 1993/1/1
Y1 - 1993/1/1
N2 - This paper proposes a new efficient line spectrum pair (LSP) vector quantization method which uses moving average (MA) interframe prediction of the parameters. This method has two advantages over auto-regressive prediction: the degradation of decoded parameters caused by bit errors affects only a few of the following frames, and codeword decoding can start at any frame. Using MA prediction, the final reconstructed LSP vector (quantized vector) of the current frame is represented as a linear combination of current and previous frame code vectors. In this paper we describe ways to achieve a more efficient LSP coder when each frame has four 10-ms subfraines. The spectral distance obtained by this method at 30 bits per 40 ms is better than that obtained using conventional multi-stage VQ without interframe correlation at 40 bits per 40 ms.
AB - This paper proposes a new efficient line spectrum pair (LSP) vector quantization method which uses moving average (MA) interframe prediction of the parameters. This method has two advantages over auto-regressive prediction: the degradation of decoded parameters caused by bit errors affects only a few of the following frames, and codeword decoding can start at any frame. Using MA prediction, the final reconstructed LSP vector (quantized vector) of the current frame is represented as a linear combination of current and previous frame code vectors. In this paper we describe ways to achieve a more efficient LSP coder when each frame has four 10-ms subfraines. The spectral distance obtained by this method at 30 bits per 40 ms is better than that obtained using conventional multi-stage VQ without interframe correlation at 40 bits per 40 ms.
UR - http://www.scopus.com/inward/record.url?scp=84985847724&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84985847724&partnerID=8YFLogxK
U2 - 10.1109/SCFT.1993.762340
DO - 10.1109/SCFT.1993.762340
M3 - Paper
SP - 63
EP - 64
ER -