PATENT CLAIM ANALYSIS

Application Number: 15873814
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-05
Patent Classification: ["381", "102000"]

Abstract:
Distortion reducing multi-band compressor with timbre preservation is provided. Timbre preservation is achieved by determining a time-varying threshold in each of a plurality frequency bands as a function of a respective fixed threshold for the frequency band and, at least in part, an audio signal level and a fixed threshold outside such frequency band. If a particular frequency band receives significant gain reduction due to being above or approaching its fixed threshold, then a time-varying threshold of one or more other frequency bands are also decreased to receive some gain reduction. In a specific embodiment, time-varying thresholds can be computed from an average difference of the audio input signal in each frequency band and its respective fixed threshold.

Claim (Index 13):
The method of  claim 11 , further comprising:\n applying a first smoothing function for smoothing levels of audio input signals used for determining the gains; and applying a second smoothing function for smoothing levels of audio input signals used for determining the time-varying threshold, wherein the second smoothing function includes longer time constants than first smoothing function.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 86.0
- Lexical Diversity: 1.7027
- Patent Class: 381.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15138810', '14732271', '13635340', '14787854', '14418353']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7137009934122979
- 35 USC 102 Novelty (BERT): 0.5304516487879465
- Combined Prediction Score: 0.6953760589498628
- Mean Citation Score: 298.94365
- Max Citation Score: 361.35297
- Similarity Product: 236.0944413338864

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