PATENT CLAIM ANALYSIS

Application Number: 15984569
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["370", "345000"]

Abstract:
A voice data transmission method performed by at least one processor, includes placing multiple voice data frames in a target sending queue, sequentially sending the multiple voice data frames to a data receiving party, and identifying one or more important voice frames among the multiple voice data frames placed in the target sending queue. The method further includes placing the one or more important voice frames that are identified, in a retransmission processing queue, and for the multiple voice data frames that are sent, performing retransmission processing on only the one or more important voice frames placed in the retransmission processing queue.

Claim (Index 15):
The apparatus according to  claim 12 , wherein the computer program code further comprises analysis code configured to cause the at least one processor to:\n analyze one of the multiple voice data frames to determine whether the one of the multiple voice data frames does not comprise voice content information; and in response to the one of the multiple voice data frames being determined to not comprise the voice content information, identify the one of the multiple voice data frames as an unimportant voice frame.

Metadata:
- Claim Count in Document: 47.0
- Percentile: 93.0
- Lexical Diversity: 2.3913
- Patent Class: 370.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14550780', '15926174', '14719144', '11020410', '10689661']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.548242211258846
- 35 USC 102 Novelty (BERT): 0.4841350183942698
- Combined Prediction Score: 0.5418314919723883
- Mean Citation Score: 158.68603000000004
- Max Citation Score: 161.16423
- Similarity Product: 106.10096118153872

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test