PATENT CLAIM ANALYSIS

Application Number: 16017919
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-01
Patent Classification: ["084", "609000"]

Abstract:
A method of generating a musical score file for one or more target musical instruments with a score generation component based on input audio data. The score generation component finds candidate musical notes within the input audio data using a frequency analysis to identify segments that share substantially the same audio frequency, and finds a best match for those candidate musical notes in audio data associated with target musical instruments in a sound database. A generated musical score file can be printed as sheet music or audibly played back over speakers.

Claim (Index 1):
A musical score generator device, comprising:\n a target instrument parameter for a target musical instrument based on a set of instructions to: receive an input audio data and a selection of one or more target musical instruments at a score generator component; identify candidate musical notes within the input audio data by performing a frequency analysis on the input audio data in an input audio interpretation parameter and identify segments of the input audio data that share substantially the same audio frequency within the input audio interpretation parameter; generate a musical score file with a page description header that identifies print settings and a musical instrument information section that identifies one or more target musical instruments; and a display component that displays the generated musical score file for the target musical instrument on a display screen.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 94.0
- Lexical Diversity: 1.58333
- Patent Class: 84.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15421287', '11424492', '15947309', '11499834', '12407860']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6305694054872767
- 35 USC 102 Novelty (BERT): 0.5682451815271105
- Combined Prediction Score: 0.6243369830912601
- Mean Citation Score: 305.44659
- Max Citation Score: 472.62878
- Similarity Product: 448.4306219631217

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