PATENT CLAIM ANALYSIS

Application Number: 16179801
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-05
Patent Classification: ["704", "232000"]

Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating representation of acoustic sequences. One of the methods includes: receiving an acoustic sequence, the acoustic sequence comprising a respective acoustic feature representation at each of a plurality of time steps; processing the acoustic feature representation at an initial time step using an acoustic modeling neural network; for each subsequent time step of the plurality of time steps: receiving an output generated by the acoustic modeling neural network for a preceding time step, generating a modified input from the output generated by the acoustic modeling neural network for the preceding time step and the acoustic representation for the time step, and processing the modified input using the acoustic modeling neural network to generate an output for the time step; and generating a phoneme representation for the utterance from the outputs for each of the time steps.

Claim (Index 14):
The method of  claim 12 , wherein the predetermined input comprises a vector of zeroes.

Metadata:
- Claim Count in Document: 81.0
- Percentile: 98.0
- Lexical Diversity: 2.85965
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14559113', '15664153', '14877673', '14811939', '14557725']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3000395526069869
- 35 USC 102 Novelty (BERT): 0.5425865336796807
- Combined Prediction Score: 0.3242942507142563
- Mean Citation Score: 335.0407800000001
- Max Citation Score: 387.3898
- Similarity Product: 243.282765197432

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