PATENT CLAIM ANALYSIS

Application Number: 16002074
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["704", "214000"]

Abstract:
In accordance with an example embodiment of the present invention, disclosed is a method and an apparatus for voice activity detection (VAD). The VAD comprises creating a signal indicative of a primary VAD decision and determining hangover addition. The determination on hangover addition is made in dependence of a short term activity measure and/or a long term activity measure. A signal indicative of a final VAD decision is then created.

Claim (Index 29):
A method for determining a hangover addition in a speech or audio codec, wherein for each frame a primary decision of voice activity is determined and based on whether or not a hangover addition of the primary decision is to be performed a final decision of voice activity is determined, the method comprising:\n determining a short term activity measure based on a number of active frames in a memory of latest N_st primary decisions; determining a long term activity measure based on a number of active frames in a memory of latest N_lt final decisions; comparing the short term activity measure with a first threshold and the long term activity measure with a second threshold; creating an alternative final decision for adjusting the hangover addition by a predetermined number of hangover frames if at least one of the first and second threshold is exceeded.

Metadata:
- Claim Count in Document: 65.0
- Percentile: 94.0
- Lexical Diversity: 1.57143
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14424223', '15229372', '12601253', '13121305', '15680432']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.30069474067514
- 35 USC 102 Novelty (BERT): 0.6267319510493385
- Combined Prediction Score: 0.3332984617125599
- Mean Citation Score: 446.843762
- Max Citation Score: 587.568
- Similarity Product: 535.4569893722534

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