PATENT CLAIM ANALYSIS

Application Number: 16109438
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-05
Patent Classification: ["704", "239000"]

Abstract:
The invention provides a method of automatic speech recognition. The method includes receiving a speech signal, dividing the speech signal into time windows, for each time window determining acoustic parameters of the speech signal within that window, and identifying phonological features from the acoustic parameters, such that a sequence of phonological features are generated for the speech signal, separating the sequence of phonological features into a sequence of zones, and comparing the sequences of zones to a lexical entry comprising a sequence of phonological segments to a stored lexicon to identify one or more words in the speech signal.

Claim (Index 8):
A method according to any one of  claims 4  to  7  further comprising determining that the [LOW] feature is active if the [SONORANT] feature is active and the frequency of the first formant F 1  is >600 Hz.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 96.0
- Lexical Diversity: 2.01887
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15105552', '10652976', '10514413', '11033075', '10022245']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2143113524765415
- 35 USC 102 Novelty (BERT): 0.5720808462780173
- Combined Prediction Score: 0.2500883018566891
- Mean Citation Score: 229.318848
- Max Citation Score: 558.7543
- Similarity Product: 322.4048069216191

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