PATENT CLAIM ANALYSIS

Application Number: 16083740
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-03
Patent Classification: ["381", "312000"]

Abstract:
A hearing assistive device ( 10; 60 ) having an input transducer ( 12; 61 ) converting sound into an audio signal applied to a processor ( 14; 66 ), the processor ( 14; 66 ) is configured to compensate a hearing loss of a user of the hearing assistive device and to output a compensated audio signal, and an output transducer ( 16; 65 ) converting the compensated audio signal into sound. The hearing assistive device ( 10; 60 ) further comprises a wireless transceiver ( 21; 67 ) enabling audio streaming from an external device ( 30; 80 ) to the hearing assisting device; an attenuator ( 23; 66 a ) associated with said processor ( 14; 66 ) applying attenuation to the compensated audio signal; and an audio stream analyzer ( 22 a;  68 a ) classifying the audio stream received via said wireless transceiver. The attenuator ( 23; 66 a ) is controlled in accordance to the audio stream classification from the audio stream analyzer ( 22 a;  68 a ). The invention further provides a method of operating a hearing assisting device.

Claim (Index 9):
The method according to  claim 8 , comprising applying attenuation to the received audio stream when classified as entertainment audio.

Metadata:
- Claim Count in Document: 35.0
- Percentile: 97.0
- Lexical Diversity: 2.73684
- Patent Class: 381.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16083078', '15887350', '15921997', '15847347', '15244043']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6951360070534708
- 35 USC 102 Novelty (BERT): 0.5365409046210609
- Combined Prediction Score: 0.6792764968102298
- Mean Citation Score: 246.673532
- Max Citation Score: 380.78262
- Similarity Product: 289.94059090363027

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

Dataset: test