PATENT CLAIM ANALYSIS

Application Number: 15989205
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-11
Patent Classification: ["704", "270000"]

Abstract:
An audio labeling tool is described for rapidly and efficiently building a labeled data set preferably comprising audio files with annotations denoting speaker transcriptions, speaker identity, periods of silence, background noise, and speaker emotion labels. The tool provides a configurable user interface (UI) with keyboard shortcuts and menu items for streamlined user-guided markup of audio files with context specific labeling and transcription notes. Human audio file labelers will preferably leverage the labeling tool and configurable user interface and menu to rapidly annotate, validate, and build labeled data sets, at scale, of time sliced audio files. The audio labeling tool is preferably applied to audio files and provides an automated means for adding notations, markup, text transcription, and feature labeling to an audio waveform, spectrogram, or other audio data visualization domain for amplifying and highlighting audio feature details. Labeled audio data is preferably used to train computer models, develop pattern recognition algorithms, and neural networks for automated processing, pre-populating and labeling of significantly large audio data sets at scale.

Claim (Index 15):
An audio file labeling process for building labeled datasets at scale comprising:\n batching a set of audio file segments for manual labeling and validation by human labelers; loading an audio file segment into a frontend graphical visual user interface; playing, listening, pausing, and resuming the audio file; adjusting the zoom level and viewable area of an audio file segment feature in a waveform, spectrogram, or other audible data visualization; selecting the beginning time code of an audio file feature; selecting the ending time code of an audio file feature; highlighting the selected audio file feature with a visual overlay; displaying a menu of audio file labels; tagging the selected audio file feature with a menu label; processing the labeled audio file features for pattern extraction; pre-populating labels on unlabeled audio files containing similar feature patterns; validating machine generated pre-populated labels; and iterating the process of human labeling, feature extraction, pre-population, and validation in order to improve the accuracy of machine learning algorithmic labeling and building labeled datasets at scale.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 93.0
- Lexical Diversity: 1.92929
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['11549412', '10329181', '12500928', '10407565', '12894752']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.261220620037033
- 35 USC 102 Novelty (BERT): 0.4965892463659725
- Combined Prediction Score: 0.284757482669927
- Mean Citation Score: 198.622928
- Max Citation Score: 204.73076
- Similarity Product: 127.43048695822716

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