PATENT CLAIM ANALYSIS

Application Number: 15983256
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-10
Patent Classification: ["704", "200000"]

Abstract:
Systems and methods for an audio signal processing system for transforming an input audio signal. A processor implements steps of a module by inputting an input audio signal into a spectrogram estimator to extract an audio feature sequence, and process the audio feature sequence to output a set of estimated spectrograms. Processing the set of estimated spectrograms and the audio feature sequence using a spectrogram refinement module, to output a set of refined spectrograms. Wherein the processing of the spectrogram refinement module is based on an iterative reconstruction algorithm. Processing the set of refined spectrograms for the one or more target audio signals using a signal refinement module, to obtain the target audio signal estimates. An output interface to output the optimized target audio signal estimates. Wherein the module is optimized by minimizing an error using an optimizer stored in the memory.

Claim (Index 18):
An audio signal processing system for transforming input audio signals, the audio signal processing system comprising:\n a memory including stored executable instructions and a stored module, such that the stored module transforms the input audio signal of the input audio signals to obtain target audio signal estimates, wherein input audio signal includes a mixture of one or more target audio signals; an input interface to receive the input audio signal; a processor in communication with the memory and the input interface, wherein the processor implements steps of the stored module by\n a spectrogram estimator of the stored module to extract an audio feature sequence from the input audio signal, and process the audio feature sequence to output a set of estimated spectrograms, wherein the set of estimated spectrograms includes an estimated spectrogram for each target audio signal; \n a spectrogram refinement module of the stored module to process the set of estimated spectrograms and the audio feature sequence, to output a set of refined spectrograms, such that the set of refined spectrograms includes a refined spectrogram for each target audio signal, and wherein using the spectrogram refinement module is based on an iterative reconstruction algorithm; \n a signal refinement module of the stored module to process the set of refined spectrograms for the one or more target audio signals, to obtain target audio signal estimates, such that there is an target audio signal estimate for each target audio signal; and \n an output interface to output the target audio signal estimates, wherein parameters of the stored module are trained using training data by minimizing an error using an optimizer stored in the memory, wherein the error includes an error on the set of refined spectrograms or an error on the target audio signal estimates or both.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 93.0
- Lexical Diversity: 2.45161
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15682123', '12623328', '15952353', '13612413', '12595542']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2747129495389399
- 35 USC 102 Novelty (BERT): 0.5076649614335673
- Combined Prediction Score: 0.2980081507284027
- Mean Citation Score: 248.615088
- Max Citation Score: 302.74066
- Similarity Product: 240.06206021467565

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

Dataset: test