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 3):
The method according to  claim 2 , further comprising, while the first timer is started: starting a second timer to perform second timing for the current important voice frame, wherein a second timing length of the second timer is greater than a first timing length of the first timer; and\n deleting the current important voice frame from the retransmission processing queue, in response to the status acknowledge frame being detected to be received before the second timing of the second timer ends or when the second timing of the second timer ends.

Metadata:
- Claim Count in Document: 47.0
- Percentile: 93.0
- Lexical Diversity: 2.3913
- Patent Class: 370.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['14550780', '15926174', '14719144', '11020410', '10689661']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5155799219804517
- 35 USC 102 Novelty (BERT): 0.4935017901454849
- Combined Prediction Score: 0.513372108796955
- Mean Citation Score: 158.68603000000004
- Max Citation Score: 161.16423
- Similarity Product: 94.61419269956768

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