PATENT CLAIM ANALYSIS

Application Number: 16201647
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-03
Patent Classification: ["704", "211000"]

Abstract:
A method and an apparatus for processing a temporal envelope of an audio signal, and an encoder, where when multiple temporal envelopes are solved, continuity of signal energy can be well maintained, and in addition, complexity of calculating a temporal envelope is reduced. The method includes obtaining a high-band signal of the current frame audio signal according to the received current frame audio signal, dividing the high-band signal of the current frame signal into M subframes according to a predetermined temporal envelope quantity M, where M is an integer greater than or equal to two, calculating a temporal envelope of each of the subframes, performing windowing on the first subframe of the M subframes and the last subframe of the M subframes using an asymmetric window function, and performing windowing on a subframe except the first subframe and the last subframe of the M subframes.

Claim (Index 2):
The method of  claim 1 , wherein performing the windowing on the subframe except the first subframe and the last subframe of the M subframes comprises performing the windowing on the subframe except the first subframe and the last subframe of the M subframes using a symmetric window function.

Metadata:
- Claim Count in Document: 35.0
- Percentile: 98.0
- Lexical Diversity: 2.30882
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15372130', '15708617', '14985831', '13450792', '11397871']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2832659051354244
- 35 USC 102 Novelty (BERT): 0.6052122919190643
- Combined Prediction Score: 0.3154605438137884
- Mean Citation Score: 325.079652
- Max Citation Score: 522.1565
- Similarity Product: 485.9016836296917

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