PATENT CLAIM ANALYSIS

Application Number: 16209661
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-04
Patent Classification: ["704", "232000"]

Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for performing speech recognition by generating a neural network output from an audio data input sequence, where the neural network output characterizes words spoken in the audio data input sequence. One of the methods includes, for each of the audio data inputs, providing a current audio data input sequence that comprises the audio data input and the audio data inputs preceding the audio data input in the audio data input sequence to a convolutional subnetwork comprising a plurality of dilated convolutional neural network layers, wherein the convolutional subnetwork is configured to, for each of the plurality of audio data inputs: receive the current audio data input sequence for the audio data input, and process the current audio data input sequence to generate an alternative representation for the audio data input.

Claim (Index 18):
The method of  claim 12 , wherein the dilated convolutional neural network layers are causal convolutional neural network layers.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 98.0
- Lexical Diversity: 2.5
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16030742', '16032971', '15151362', '15649947', '15374884']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2923728288307686
- 35 USC 102 Novelty (BERT): 0.5385041142903818
- Combined Prediction Score: 0.3169859573767299
- Mean Citation Score: 267.25074
- Max Citation Score: 371.35065
- Similarity Product: 309.23772459413414

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

Dataset: test