PATENT CLAIM ANALYSIS

Application Number: 16009524
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-12
Patent Classification: ["381", "074000"]

Abstract:
Embodiments of the invention determine a speech estimate using a bone conduction sensor or accelerometer, without employing voice activity detection gating of speech estimation. Speech estimation is based either exclusively on the bone conduction signal, or is performed in combination with a microphone signal. The speech estimate is then used to condition an output signal of the microphone. There are multiple use cases for speech processing in audio devices.

Claim (Index 20):
A non-transitory computer readable medium for conditioning an earbud microphone signal, comprising instructions which, when executed by one or more processors, causes performance of the following:\n receiving a bone conduction sensor signal from a bone conduction sensor of an earbud; receiving a microphone signal from a microphone of the earbud; determining from the bone conduction sensor signal at least one characteristic of speech of a user of the earbud, the at least one characteristic being a non-binary variable; deriving from the at least one characteristic of speech at least one signal conditioning parameter; and using the at least one signal conditioning parameter to condition the output signal from the microphone.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 94.0
- Lexical Diversity: 1.47059
- Patent Class: 381.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14187187', '15353308', '14160427', '15587325', '13631716']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6956052735927435
- 35 USC 102 Novelty (BERT): 0.488042489865975
- Combined Prediction Score: 0.6748489952200667
- Mean Citation Score: 211.15074600000003
- Max Citation Score: 227.0546
- Similarity Product: 172.10314095935817

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

Dataset: test