PATENT CLAIM ANALYSIS

Application Number: 15917082
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-09
Patent Classification: ["704", "232000"]

Abstract:
Non-limiting examples of the present disclosure describe advancements in acoustic-to-word modeling that improve accuracy in speech recognition processing through the replacement of out-of-vocabulary (OOV) tokens. During the decoding of speech signals, better accuracy in speech recognition processing is achieved through training and implementation of multiple different solutions that present enhanced speech recognition models. In one example, a hybrid neural network model for speech recognition processing combines a word-based neural network model as a primary model and a character-based neural network model as an auxiliary model. The primary word-based model emits a word sequence, and an output of character-based auxiliary model is consulted at a segment where the word-based model emits an OOV token. In another example, a mixed unit speech recognition model is developed and trained to generate a mixed word and character sequence during decoding of a speech signal without requiring generation of OOV tokens.

Claim (Index 7):
The method of  claim 1 , further comprising: collapsing the character sequence into an output unit for the OOV token, wherein the outputting outputs the output unit in the speech recognition result.

Metadata:
- Claim Count in Document: 33.0
- Percentile: 90.0
- Lexical Diversity: 1.98734
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15843055', '10109251', '13906654', '13813463', '15878113']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.263519806423934
- 35 USC 102 Novelty (BERT): 0.4984853893292773
- Combined Prediction Score: 0.2870163647144683
- Mean Citation Score: 230.97057
- Max Citation Score: 252.57828
- Similarity Product: 179.07980493274212

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

Dataset: test