PATENT CLAIM ANALYSIS

Application Number: 15933108
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-07
Patent Classification: ["704", "230000"]

Abstract:
The present document relates an audio encoding and decoding system (referred to as an audio codec system). In particular, the present document relates to a transform-based audio codec system which is particularly well suited for voice encoding/decoding. A quantization unit configured to quantize a first coefficient of a block of coefficients is described. The block of coefficients comprises a plurality of coefficients for a plurality of corresponding frequency bins. The quantization unit is configured to provide a set of quantizers. The set of quantizers comprises a plurality of different quantizers associated with a plurality of different signal-to-noise ratios, referred to as SNR, respectively. The plurality of different quantizers includes a noise-filling quantizer; one or more dithered quantizers; and one or more un-dithered quantizers. The quantization unit is further configured to determine an SNR indication indicative of a SNR attributed to the first coefficient, and to select a first quantizer from the set of quantizers, based on the SNR indication. In addition, the quantization unit is configured to quantize the first coefficient using the first quantizer.

Claim (Index 1):
A transform-based audio encoder configured to encode an audio signal into a bitstream; the encoder comprising\n a quantization unit configured to determine a plurality of quantization indices by quantizing a plurality of coefficients from a block of coefficients using a dithered quantizer; wherein the plurality of coefficients is associated with a plurality of corresponding frequency bins; wherein the block of coefficients is derived from the audio signal; a dither generator configured to select one of M pre-determined dither realizations, and configured to generate a plurality of dither values for quantizing the plurality of coefficients, based on the selected dither realization; wherein M is an integer greater than one; and an entropy encoder configured to select a codebook from M pre-determined codebooks, and configured to entropy encode the plurality of quantization indices using the selected codebook; wherein the M pre-determined codebooks are associated with the M pre-determined dither realizations, respectively; wherein the M pre-determined codebooks have been trained using the M pre-determined dither realizations, respectively; wherein the entropy encoder is configured to select the codebook associated with the dither realization selected by the dither generator; and wherein coefficient data indicative of the entropy encoded quantization indices is inserted into the bitstream.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 90.0
- Lexical Diversity: 2.51948
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14781700', '14781219', '12263726', '11595995', '13100494']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2961354003494335
- 35 USC 102 Novelty (BERT): 0.5799767856716069
- Combined Prediction Score: 0.3245195388816509
- Mean Citation Score: 346.61315
- Max Citation Score: 488.08963
- Similarity Product: 395.2050447651738

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

Dataset: test