PATENT CLAIM ANALYSIS

Application Number: 16178179
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-02
Patent Classification: ["704", "500000"]

Abstract:
An apparatus for generating an error concealment signal, includes: an LPC representation generator for generating a replacement LPC representation; an LPC synthesizer for filtering a codebook information using the replacement LPC representation; and a noise estimator for estimating a noise estimate during a reception of good audio frames, wherein the noise estimate depends on the good audio frames representation generator is configured to use the noise estimate estimated by the noise estimator in generating the replacement LPC representation.

Claim (Index 11):
The apparatus of  claim 1 ,\n wherein the LPC representation generator is configured to generate a further replacement LPC representation, wherein the apparatus further comprises an adaptive codebook, wherein the LPC synthesizer is configured to filter the codebook information from the fixed codebook using the replacement LPC representation, and wherein the LPC synthesizer is configured to filter a codebook information from the adaptive codebook using the further presentation, wherein the LPC representation generator is configured to calculate the further replacement LPC representation using a mean value of at least two good LPC representations.

Metadata:
- Claim Count in Document: 41.0
- Percentile: 98.0
- Lexical Diversity: 1.86667
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15267809', '16178143', '15267768', '15267869', '14977495']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3407518463185633
- 35 USC 102 Novelty (BERT): 0.6052790315064329
- Combined Prediction Score: 0.3672045648373503
- Mean Citation Score: 462.363334
- Max Citation Score: 559.5551
- Similarity Product: 488.0380617318212

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