PATENT CLAIM ANALYSIS

Application Number: 15938286
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-01
Patent Classification: ["704", "232000"]

Abstract:
A method and apparatus for correcting a speech recognition result, a device and a computer-readable storage medium are provided. The method includes performing speech recognition on acquired speech data to obtain initial text information; and recognizing and correcting the initial text information by a neural machine translation NMT model to obtain a final text recognition result.

Claim (Index 3):
The method according to  claim 2 , wherein encoding the word into the dense vector by the encoder in the NMT model and decoding the dense vector by the decoder in the NMT model so as to obtain the final text recognition result comprises:\n converting the at least one word into a source hidden vector by the encoder in the NMT model; inputting the source hidden vector into the decoder in the NMT model, and outputting a target hidden vector by the decoder in the NMT model; determining an attention mechanism hidden vector based on the target hidden vector and the source hidden vector; and obtaining the final text recognition result based on the attention mechanism hidden vector.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 90.0
- Lexical Diversity: 1.53846
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15843055', '14749747', '13417725', '15843047', '15216121']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2882488313085142
- 35 USC 102 Novelty (BERT): 0.4843749924181219
- Combined Prediction Score: 0.3078614474194749
- Mean Citation Score: 196.346864
- Max Citation Score: 204.86461
- Similarity Product: 150.5607649565506

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