PATENT CLAIM ANALYSIS

Application Number: 15904937
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-07
Patent Classification: ["704", "231000"]

Abstract:
A method of providing hybrid speech recognition between a local embedded speech recognition system and a remote speech recognition system relates to receiving speech from a user at a device communicating with a remote speech recognition system. The system recognizes a first part of speech by performing a first recognition of the first part of the speech with the embedded speech recognition system that accesses private user data, wherein the private user data is not available to the remote speech recognition system. The system recognizes the second part of the speech by performing a second recognition of the second part of the speech with the remote speech recognition system. The final recognition result is a combination of these two recognition processes. The private data can be such local information as a user location, a playlist, frequently dialed numbers or texted people, user contact list information, and so forth.

Claim (Index 16):
The system of  claim 15 , wherein the computer-readable storage medium stores additional instructions which, when executed by the processor, cause the processor to perform operations further comprising:\n determining a privacy level of the private user data according to the location of the system.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 88.0
- Lexical Diversity: 2.46875
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15606477', '14066079', '13345198', '13892590', '10894201']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2558122735495694
- 35 USC 102 Novelty (BERT): 0.5060781130031521
- Combined Prediction Score: 0.2808388574949277
- Mean Citation Score: 218.65112400000004
- Max Citation Score: 300.0794
- Similarity Product: 290.94812127496004

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