PATENT CLAIM ANALYSIS

Application Number: 15775462
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-12
Patent Classification: ["704", "500000"]

Abstract:
A voice communication system is equipped with a voice encoder which classifies respective bits of a voice information bit string in accordance with the degree of importance which is the magnitude of auditory influence when there is an error therein, classifies a group of bits which are high in degree of importance into a core layer and classifies a group of bits which are not high into an extension layer and a voice decoder which decodes a voice by using the bit strings in both of the core layer and the extension layer on the basis of frequency that the error is detected by error detection processing and when the frequency is low and decodes the voice using all bits or only some bets in the core layer when the frequency is high.

Claim (Index 2):
The voice communication system according to  claim 1 , wherein\n the error detection/error correction encoder is equipped with a first error detection/error correction encoder and a second error detection/error correction encoder, the voice encoder obtains spectrum envelope information, low frequency band voiced/voiceless discrimination information, high frequency band voiced/voiceless discrimination information, pitch period information and first gain information and outputs a voice information bit string which is a result of encoding of them, the first error detection/error correction encoder adds the error detection codes to all or some of them in the voice information bit string and thereafter outputs the bit string which is subjected to error correction encoding, and the voice encoder obtains second gain information and outputs a second gain information bit string which is a result of encoding thereof, and the second error detection/error correction encoder sends a bit string that error detection/error correction encoding is performed on the second gain information bit string.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 93.0
- Lexical Diversity: 2.25
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['09401068', '09915893', '10615268', '14478839', '10292460']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2615532815119535
- 35 USC 102 Novelty (BERT): 0.5080967923328218
- Combined Prediction Score: 0.2862076325940403
- Mean Citation Score: 229.928128
- Max Citation Score: 261.23724
- Similarity Product: 189.6772045256781

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