PATENT CLAIM ANALYSIS

Application Number: 15919899
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["084", "609000"]

Abstract:
An electronic wind instrument according to one aspect of the present invention includes a plurality of performance keys for specifying pitches, a breath sensor which detects at least a breath input operation, and a controller (CPU), wherein the controller (CPU) selectively switches between a first mode of outputting first sound waveform data generated on the basis of the breath input operation and operation of at least one performance key from among the plurality of performance keys, and a second mode of, when the breath input operation is detected, outputting second sound waveform data based on musical piece data regardless of whether operation of the at least one performance key is detected or is not detected.

Claim (Index 4):
The electronic wind instrument according to  claim 2 , wherein for at least some of notes on the musical piece data, said sound effect is a growling technique, and when the portion of the musical piece data read out by the processor includes data representing the growling technique to be applied to the note, the processor increases a growling waveform synthesizing ratio from a default value included in the read out portion of the musical piece data when the breath value is greater than the base breath value, and decreases the growling waveform synthesizing ratio from the default value included in the read out portion of the musical piece data when the breath value is less than the base breath value, in generating the sound waveform data.

Metadata:
- Claim Count in Document: 18.0
- Percentile: 90.0
- Lexical Diversity: 2.03226
- Patent Class: 84.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15913640', '11466712', '15746723', '15845772', '15845805']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6413319550374197
- 35 USC 102 Novelty (BERT): 0.4914594792487363
- Combined Prediction Score: 0.6263447074585513
- Mean Citation Score: 210.317992
- Max Citation Score: 229.01933
- Similarity Product: 149.98038066731334

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