PATENT CLAIM ANALYSIS

Application Number: 15913507
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-09
Patent Classification: ["704", "232000"]

Abstract:
Method and apparatus are disclosed for dialect and language recognition for speech detection in vehicles. An example vehicle includes a microphone, a communication module, memory storing acoustic models for speech recognition, and a controller. The controller is to collect an audio signal that includes a voice command and identify a dialect of the voice command by applying the audio signal to a deep neural network. The controller also is to download, upon determining the dialect does not correspond with any of the acoustic models, a selected acoustic model for the dialect from a remote server via the communication module.

Claim (Index 3):
The vehicle of  claim 1 , wherein, upon the controller downloading the selected acoustic model from the remote server, the memory is configured to store the selected acoustic model and the controller is configured to utilize the selected acoustic model for the speech recognition.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 90.0
- Lexical Diversity: 1.77049
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15410732', '14173264', '11428663', '13672945', '11195144']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3005062160635638
- 35 USC 102 Novelty (BERT): 0.4977495199890714
- Combined Prediction Score: 0.3202305464561146
- Mean Citation Score: 219.58617400000003
- Max Citation Score: 229.07166
- Similarity Product: 154.41296917559268

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