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 3):
The sound adjustment method as claimed in  claim 2 , wherein the sound adjustment system further comprises 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: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14290368', '15439982', '14022314', '15822412', '14992070']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7082489332404022
- 35 USC 102 Novelty (BERT): 0.4708283515937822
- Combined Prediction Score: 0.6845068750757402
- Mean Citation Score: 171.928746
- Max Citation Score: 180.51753
- Similarity Product: 143.3490219440317

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