PATENT CLAIM ANALYSIS

Application Number: 16045865
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-02
Patent Classification: ["704", "232000"]

Abstract:
Embodiments of the present disclosure provide a voiceprint registration method, a server and a storage medium. The method may include: acquiring present speech information collected by a smart device; extracting a present voiceprint feature of the present speech information; determining whether the present voiceprint feature is a voiceprint feature associated with the smart device; and determining the present voiceprint feature as a user identification associated with the smart device to determine the present voiceprint feature as the voiceprint feature associated with the smart device, in response to determining that the present voiceprint feature is not the voiceprint feature associated with the smart device.

Claim (Index 2):
The method according to  claim 1 , wherein extracting the present voiceprint feature of the present speech information comprises:\n quantizing and sampling the present speech information to acquire a digital speech signal; performing denoising and filtering on the digital speech signal to produce a processed speech signal; and performing a feature extraction on the processed speech signal using a predetermined algorithm to acquire the present voiceprint feature of the present speech information.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 95.0
- Lexical Diversity: 2.52273
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14757928', '15501292', '14105110', '15240696', '14757927']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.29543844066724
- 35 USC 102 Novelty (BERT): 0.4817283407171564
- Combined Prediction Score: 0.3140674306722317
- Mean Citation Score: 203.217614
- Max Citation Score: 210.35321
- Similarity Product: 161.39131905647812

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