PATENT CLAIM ANALYSIS

Application Number: 15985281
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["704", "205000"]

Abstract:
Method and apparatus are provided for reconstructing a noise component of a speech/audio signal. A bitstream, is received and decoded to obtain a speech/audio signal. A first speech/audio signal is determined according to the speech/audio signal. A symbol of each sample value in the first speech/audio signal and an amplitude value of each sample value in the first speech/audio signal is determined. An adaptive normalization length and an adjusted amplitude value of each sample value are determined according to the adaptive normalization length and the amplitude value of each sample value. A second speech/audio signal is determined according to the symbol of each sample value and the adjusted amplitude value of each sample value.

Claim (Index 21):
The apparatus according to  claim 17 , wherein the at least one processor is further configured to:\n subtract the amplitude disturbance value corresponding to each sample value from the amplitude value of each sample value, to obtain a difference between the amplitude value of each sample value and the amplitude disturbance value corresponding to each sample value, and use the obtained difference as the adjusted amplitude value of each sample value.

Metadata:
- Claim Count in Document: 49.0
- Percentile: 93.0
- Lexical Diversity: 3.10256
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15369396', '14595672', '14782746', '14952902', '14650093']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2558259967573759
- 35 USC 102 Novelty (BERT): 0.5625339489963486
- Combined Prediction Score: 0.2864967919812732
- Mean Citation Score: 259.58506
- Max Citation Score: 419.04855
- Similarity Product: 398.91045045917633

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