PATENT CLAIM ANALYSIS

Application Number: 16050844
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-11
Patent Classification: ["704", "500000"]

Abstract:
An example apparatus includes a memory configured to store the audio data; and one or more processors in communication with the memory, the one or more processors configured to: obtain, for each of a plurality of subbands of audio data, a respective energy scalar and a respective residual identifier; determine overall distortion levels for a plurality of candidate subband pulse allocations for performing pyramid vector dequantization (PVdQ) of the residual identifiers; select, from the plurality of subband pulse allocations and based on the overall distortion levels, a candidate subband pulse allocation; and perform, using the candidate subband pulse allocation, PVdQ on the residual identifers to reconstruct a residual vector for each subband.

Claim (Index 23):
The apparatus of  claim 16 , wherein the one or more processors comprise:\n a subband filter configured to separate the audio data into the plurality of subbands; a gain-shape analysis unit configured to generate, for each subband, the respective energy scalar and the respective residual vector; a cooperative quality and bitrate scalable controller configured to:\n determine the overall distortion levels for the plurality of candidate subband pulse allocations for performing PVQ of the residual vectors; and \n select, from the plurality of subband pulse allocations and based on the overall distortion levels, the candidate subband pulse allocation; and \n one or more pyramid vector quantizers configured to perform, using the candidate subband pulse allocation, PVQ on the residual vectors to generate the residual identifier for each residual vector.

Metadata:
- Claim Count in Document: 80.0
- Percentile: 95.0
- Lexical Diversity: 2.11667
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16050894', '16045496', '16050966', '09739168', '15650714']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.326376540721311
- 35 USC 102 Novelty (BERT): 0.5546153218717166
- Combined Prediction Score: 0.3492004188363516
- Mean Citation Score: 315.2707680000001
- Max Citation Score: 442.83945
- Similarity Product: 333.4492991149128

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

Dataset: test