PATENT CLAIM ANALYSIS

Application Number: 16171629
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-04
Patent Classification: ["704", "232000"]

Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for speech recognition using complex linear projection are disclosed. In one aspect, a method includes the actions of receiving audio data corresponding to an utterance. The method further includes generating frequency domain data using the audio data. The method further includes processing the frequency domain data using complex linear projection. The method further includes providing the processed frequency domain data to a neural network trained as an acoustic model. The method further includes generating a transcription for the utterance that is determined based at least on output that the neural network provides in response to receiving the processed frequency domain data.

Claim (Index 15):
The system of  claim 12 , wherein the operations further comprise:\n generating a convolutional filter with one or more real filter weights; and generating a frequency domain filter with one or more complex filter weights based on the convolutional filter, wherein processing the frequency domain data using linear transformation comprises applying the frequency domain filter to the audio data.

Metadata:
- Claim Count in Document: 19.0
- Percentile: 97.0
- Lexical Diversity: 1.98413
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15386979', '15848829', '15205321', '15350293', '15080927']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3105154285674264
- 35 USC 102 Novelty (BERT): 0.5616892011862554
- Combined Prediction Score: 0.3356328058293094
- Mean Citation Score: 340.999764
- Max Citation Score: 455.2274
- Similarity Product: 364.2276727900863

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