PATENT CLAIM ANALYSIS

Application Number: 16101220
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-12
Patent Classification: ["704", "230000"]

Abstract:
The present disclosure provides methods, devices and computer program products for non-uniform quantization of parameters relating to parametric spatial coding of audio signals. The disclosure further relates to a method and apparatus for reconstructing an audio object in an audio decoding system taking the non-uniformly quantized parameters into account. According to the disclosure, such an approach renders it possible to reduce bit consumption without substantially reducing the quality of the reconstructed audio object.

Claim (Index 10):
A method in an audio decoder for dequantization of quantized parameters relating to parametric spatial coding of audio signals, comprising:\n receiving at least a first quantized parameter and a second quantized parameter; dequantizing the quantized first parameter according to a first scalar quantization scheme having first non-uniform step-sizes to obtain a dequantized first parameter, wherein the first non-uniform step-sizes are selected such that smaller step-sizes are used for ranges of the first parameter where the human sound perception is most sensitive, and larger step-sizes are used for ranges of the first parameter where the human sound perception is less sensitive; determining a scaling factor based on the dequantized first parameter; and dequantizing the second quantized parameter based on the scaling factor and a second scalar quantization scheme having second non-uniform step-sizes to obtain a dequantized second parameter.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 96.0
- Lexical Diversity: 1.41818
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14916534', '15584534', '11406631', '14781232', '10198638']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2786688331341169
- 35 USC 102 Novelty (BERT): 0.5797962582658811
- Combined Prediction Score: 0.3087815756472933
- Mean Citation Score: 307.007824
- Max Citation Score: 471.05338
- Similarity Product: 451.1181701971577

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test