PATENT CLAIM ANALYSIS

Application Number: 16002367
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-01
Patent Classification: ["084", "621000"]

Abstract:
There is provided a post processing technique or method for separation algorithms to separate vocals from monaural music recordings. The method comprises detecting traces of pitched instruments in a magnitude spectrum of a separated voice using Hough transform and removing the detected traces of pitched instruments using median filtering to improve the quality of the separated voice and to form a new separated music signal. The method further comprises applying adaptive median filtering techniques to remove the identified Hough regions from the vocal spectrogram producing separated pitched instruments harmonics and new vocals while adding the separated pitched instruments harmonics to a music signal separated using any separation algorithm to form the new separated music signal.

Claim (Index 5):
A system for improving singing voice separation from monaural music recordings, the system comprising a microprocessor for:\n detecting traces of pitched instruments in a magnitude spectrum of a separated voice using Hough transform; and removing the detected traces of pitched instruments using adaptive median filtering to improve a quality of the separated voice and to form a new separated music signal.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 94.0
- Lexical Diversity: 1.93443
- Patent Class: 84.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13612413', '12866159', '14984089', '12146971', '11535951']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5444992584085158
- 35 USC 102 Novelty (BERT): 0.4712262363449351
- Combined Prediction Score: 0.5371719562021577
- Mean Citation Score: 169.878898
- Max Citation Score: 220.75417
- Similarity Product: 189.4051261640495

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

Dataset: test