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A. H. Safavi-Naeini

dblp:08/5896 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2006
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Audio and music processing · 67% Image and video coding · 33%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Image and video coding › quantization › vector quantization
lattice vector quantization
0.112006
Single and double frame coding of speech LPC parameters using a lattice-based quantization scheme · IEEE Trans. Speech Audio Process. 2006
Audio and music processing › speech coding
line spectral frequency quantization
0.112006
Single and double frame coding of speech LPC parameters using a lattice-based quantization scheme · IEEE Trans. Speech Audio Process. 2006
Audio and music processing
speech coding
0.112006
Single and double frame coding of speech LPC parameters using a lattice-based quantization scheme · IEEE Trans. Speech Audio Process. 2006

Methods — techniques the papers use, named apart from their topics

trellis structure · 0.1linear prediction · 0.1lattice quantization · 0.1
YearPublicationVenuePosition
2006 Single and double frame coding of speech LPC parameters using a lattice-based quantization scheme
abstract
A lattice-based scheme for the single-frame and the double-frame quantization of the speech line spectral frequency parameters is proposed. The lattice structure provides a low-complexity vector quantization framework, which is implemented using a trellis structure. In the single-frame scheme, the intraframe dependencies are exploited using a linear predictor. In the double-frame scheme, the parameters of two consecutive frames are jointly quantized and hence the interframe dependencies are also exploited. A switched scheme is also considered in which, lattice-based double-frame and single-frame quantization is performed for each two frame and the one which results in a lower distortion is chosen. Comparisons to the Split-VQ, the Multi-Stage VQ, the Trellis Coded Quantization, the interframe Block-Based Trellis Quantizer, and the interframe scheme used in IS-641 EFRC and the GSM AMR codec are provided. These results demonstrate the effectiveness of the proposed lattice-based quantization schemes, while maintaining a very low complexity. Finally, the issue of the robustness to channel errors is investigated
Farshad Lahouti, Ahmad R. Fazel, A. H. Safavi-Naeini, Amir K. Khandani
IEEE Trans. Speech Audio Process.3