PATENT CLAIM ANALYSIS

Application Number: 16136154
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-03
Patent Classification: ["084", "616000"]

Abstract:
A conversion-to-note apparatus includes: a key which is operated by a user; and a processor. The processor obtains, from a memory, first information and second information. The first information is information to associate a key operation on the key with an open/close state of a tone hole or virtual tone hole. The second information is information to associate the open/close state of the tone hole or virtual tone hole with a note. Further, the processor identifies, based on the first information, the open/close state of the tone hole or virtual tone hole for the key operation detected. Further, the processor determines, based on the second information, the note for the identified open/close state of the tone hole or virtual tone hole.

Claim (Index 15):
The conversion-to-note method according to  claim 14 , wherein the control process comprises: if the open/close state of any of the tone holes or virtual tone holes stored, in the first information, for each of the keys, which have been operated and detected, is the dependent open/close state, determining an open/close state predetermined for the tone hole or virtual tone hole as a state to which the open/close state of the tone hole or virtual tone hole should be changed.

Metadata:
- Claim Count in Document: 14.0
- Percentile: 97.0
- Lexical Diversity: 2.97826
- Patent Class: 84.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['11493251', '16098551', '11466712', '11490933', '12493603']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5978816143053893
- 35 USC 102 Novelty (BERT): 0.5017362800227846
- Combined Prediction Score: 0.5882670808771289
- Mean Citation Score: 210.660556
- Max Citation Score: 243.95996
- Similarity Product: 160.4305527189541

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