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 1):
A signal processing device for earbud speech estimation, the device comprising:\n at least one input for receiving a microphone signal from a microphone of an earbud; at least one input for receiving a bone conduction sensor signal from a bone conduction sensor of an earbud; a processor configured to determine 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, the processor further configured to derive from the at least one characteristic of speech at least one signal conditioning parameter; and the processor further configured to use the at least one signal conditioning parameter to condition the microphone signal.

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): 0.6967240728000226
- 35 USC 102 Novelty (BERT): 0.4824738534631596
- Combined Prediction Score: 0.6752990508663363
- Mean Citation Score: 211.15074600000003
- Max Citation Score: 227.0546
- Similarity Product: 183.3480386681199

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