PATENT CLAIM ANALYSIS

Application Number: 16102809
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-10
Patent Classification: ["381", "103000"]

Abstract:
A sound adjustment method applied to a sound adjustment system is disclosed. The sound adjustment system includes a sound receiving module, a sound identification module, a sound frequency conversion module and a sound equalizer. The sound adjustment method includes the steps of: receiving a sound signal via the sound receiving module; identifying the sound signal via the sound identification module to determine a type of the sound signal; if the sound signal is a voice signal, executing a frequency conversion of the voice signal via the sound frequency conversion module such that the voice signal becomes a frequency-converted voice signal; if the sound signal is a non-voice signal, adjusting the non-voice signal via the sound equalizer such that the non-voice signal becomes an equalizer-adjusted sound signal.

Claim (Index 6):
The sound adjustment system as claimed in  claim 5 , further comprising a sound outputting module; the sound outputting module is electrically connected to the sound frequency conversion module and the sound equalizer, and the sound outputting module is used for outputting the frequency-converted voice signal or the equalizer-adjusted sound signal.

Metadata:
- Claim Count in Document: 13.0
- Percentile: 96.0
- Lexical Diversity: 3.2619
- Patent Class: 381.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['14290368', '15439982', '14022314', '15822412', '14992070']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6810718490710574
- 35 USC 102 Novelty (BERT): 0.4775170220975439
- Combined Prediction Score: 0.6607163663737061
- Mean Citation Score: 171.928746
- Max Citation Score: 180.51753
- Similarity Product: 132.4173128768277

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

Dataset: test