PATENT CLAIM ANALYSIS

Application Number: 16372030
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2019-07
Patent Classification: ["704", "223000"]

Abstract:
An encoder for encoding an audio signal has: an analyzer configured for deriving prediction coefficients and a residual signal from an unvoiced frame of the audio signal; a gain parameter calculator configured for calculating a first gain parameter information for defining a first excitation signal related to a deterministic codebook and for calculating a second gain parameter information for defining a second excitation signal related to a noise-like signal for the unvoiced frame; and a bitstream former configured for forming an output signal based on an information related to a voiced signal frame, the first gain parameter information and the second gain parameter information.

Claim (Index 8):
The encoder according to  claim 1 , wherein the gain parameter controller comprises a controller configured for determining the first gain parameter based on: g c = \u2211 n = 0 Lsf - 1 \ue89e \ue89e xw \ue8a0 ( n ) \u00b7 cw \ue8a0 ( n ) \u2211 n = 0 Lsf - 1 \ue89e \ue89e cw \ue8a0 ( n ) \u00b7 cw \ue8a0 ( n ) wherein cw(n) is a filtered excitation signal of an innovative codebook and xw(n) is a perceptual target excitation computed in CELP encoder; wherein the controller is configured to determine the quantized noise gain based on quantized value of the first gain parameter and the root square energy ratio between the first excitation and the second excitation: \u2211 n = 0 Lsf - 1 \ue89e \ue89e c \ue8a0 ( n ) \u00b7 c \ue8a0 ( n ) \u2211 n = 0 Lsf - 1 \ue89e \ue89e n \ue8a0 ( n ) \u00b7 n \ue8a0 ( n ) wherein Lsf is the size in samples of a subframe.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 100.0
- Lexical Diversity: 2.36957
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15131773', '15131681', '12910564', '09915893', '10129945']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3532857320215827
- 35 USC 102 Novelty (BERT): 0.6352605602379777
- Combined Prediction Score: 0.3814832148432223
- Mean Citation Score: 428.12362
- Max Citation Score: 611.55725
- Similarity Product: 567.382731514424

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