PATENT CLAIM ANALYSIS

Application Number: 16034227
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2020-01
Patent Classification: ["704", "500000"]

Abstract:
In general, techniques are described by which to perform error concealment for audio data using reference pools. A device comprising a memory and a processor may perform the techniques. The memory may store a bitstream. The processor may obtain a reference pool of one or more reference audio frames, each of the one or more reference audio frames representative of a different portion of the audio data. The processor may determine that a current audio frame is unavailable, and obtain, responsive to determining that the current audio frame is unavailable and based on a successive audio frame to the current audio frame in a bitstream, a reference audio frame of the one or more reference audio frames. The processor may replace the current audio frame with the reference audio frame, and render the reference audio frame to one or more speaker feeds.

Claim (Index 17):
The device of  claim 12 , wherein the one or more processors are further configured to:\n obtain, based on the current audio frame, a current representative of the current audio frame; obtain, for each of the reference audio frames, a reference representative of each of the respective reference audio frames; compare the current representative to each of the reference representatives to obtain a similarity score relative to each of the reference frames; and add, based on the similarity scores, the current audio frame to the reference pool as one of the reference audio frames.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 95.0
- Lexical Diversity: 2.61017
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15290229', '14609208', '15290213', '14878729', '14878691']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2817718463884399
- 35 USC 102 Novelty (BERT): 0.4870686992807275
- Combined Prediction Score: 0.3023015316776686
- Mean Citation Score: 186.808192
- Max Citation Score: 197.12216
- Similarity Product: 137.58514897037506

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