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 1):
A voice communication system comprising:\n a voice encoder which performs encoding processing on a voice signal per frame which is a predetermined time unit and outputs voice information bits; an error detection/error correction encoder which adds error detection codes to all or some of the voice information bits and sends a bit string that error correction encoding is performed on a string of the bits to which the error detection codes are added; an error correction decoding/error detector which receives the bit string which is subjected to error correction encoding, performs error correction decoding on the received bit string which is subjected to error correction encoding and performs error detection on the voice information bit string after error correction decoding; and a voice decoder which reproduces a voice signal from the voice information bit string after error correction decoding and, on that occasion, in a case where an error is detected as a result of error detection by the error correction decoding/error detector, replaces the voice information bit string after error correction with a voice information bit string in a past error-free frame and thereafter reproduces the voice signal, wherein the voice encoder performs classification in accordance with a degree of importance which is the magnitude of auditory influence when an error occurs in each bit of the voice information bit string, 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, the error detection/error correction encoder sends the bit string which is subjected to error correction encoding after addition of the error detection codes as for the bits which are classified into the core layer and sends the bit string without performing addition of the error detection codes and error correction encoding as for the bits which are classified into the extension layer, the error correction decoding/error detector receives the bit string sent from the error detection/error correction encoder and performs error correction decoding-error detection processing on the bit string in the core layer, and the voice decoder 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 the 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.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 93.0
- Lexical Diversity: 2.25
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['09401068', '09915893', '10615268', '14478839', '10292460']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2397477811819847
- 35 USC 102 Novelty (BERT): 0.5025525046400339
- Combined Prediction Score: 0.2660282535277897
- Mean Citation Score: 229.928128
- Max Citation Score: 261.23724
- Similarity Product: 199.5426332882309

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

Dataset: test