PATENT CLAIM ANALYSIS

Application Number: 16516634
Application Type: Utility
Filing Date: 2019-07
Publication Date: 2019-11
Patent Classification: ["704", "210000"]

Abstract:
According to one aspect, a method for determining voice activity is disclosed, the method including receiving a frame of an input audio signal, the input audio signal having a sample rate, and spitting the audio signal into a plurality of subbands, the plurality of subbands including at least a lowest subband and a highest subband. The method further comprises filtering the lowest subband to reduce an energy of the lowest subband, estimating a noise level for at least some of the plurality of subbands, and computing a signal-to-noise ratio for at least some of the plurality of subbands. The method also includes determining a speech activity level based at least in part on the computed signal-to-noise ratios and an average of an energy of at least some of the plurality of subbands.

Claim (Index 1):
A method for determining voice activity in an audio signal, the method comprising:\n receiving a frame of an input audio signal, the input audio signal having a sample rate; spitting the audio signal into a plurality of subbands, the plurality of subbands including at least a lowest subband and a highest subband; filtering the lowest subband to reduce an energy of the lowest subband; estimating a noise level for at least some of the plurality of subbands; computing a signal-to-noise ratio for at least some of the plurality of subbands; and determining a speech activity level based at least in part on the computed signal-to-noise ratios and an average of an energy of at least some of the plurality of subbands, wherein the method is performed in an audio encoder with one or more processors.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 100.0
- Lexical Diversity: 2.40678
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15730908', '14701622', '15207155', '13571344', '14605003']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2582840955871636
- 35 USC 102 Novelty (BERT): 0.508815082671969
- Combined Prediction Score: 0.2833371942956442
- Mean Citation Score: 270.74822
- Max Citation Score: 309.0974700000001
- Similarity Product: 291.1408644979013

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