PATENT CLAIM ANALYSIS

Application Number: 15974337
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["379", "406070"]

Abstract:
The present disclosure discloses an echo cancellation method and apparatus. The method includes: obtaining a far-end signal and a near-end signal; detecting whether a speech signal exists in the near-end signal; processing the far-end signal according to a normalized least mean square adaptive filtering (NLMS) algorithm to obtain an estimated signal, and subtracting the estimated signal from the near-end signal to obtain a residual signal; after it is detected that the speech signal exists in the near-end signal, detecting whether the residual signal meets a preset output condition; and when it is detected that the residual signal does not meet the preset output condition, multiplying the residual signal by a first attenuation factor to obtain an output signal.

Claim (Index 9):
The electronic device according to  claim 6 , wherein, for detecting whether a speech signal exists in a near-end signal, the processor is further configured for:\n detecting whether an echo signal exists in the near-end signal; when it is detected that the echo signal exists in the near-end signal, detecting whether a speech signal exists in the near-end signal; and when it is detected that no echo signal exists in the near-end signal, multiplying the near-end signal by a second attenuation factor to obtain the output signal.

Metadata:
- Claim Count in Document: 20.0
- Percentile: 93.0
- Lexical Diversity: 2.09677
- Patent Class: 379.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['12117943', '13222050', '13667331', '14853979', '12204608']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5163151922455129
- 35 USC 102 Novelty (BERT): 0.4958408962610015
- Combined Prediction Score: 0.5142677626470618
- Mean Citation Score: 231.248034
- Max Citation Score: 239.55106
- Similarity Product: 173.39471127200724

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