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 19):
An audio signal processing system for transforming input audio signals, the audio signal processing comprising:\n a sound detecting device configured to acquire the input audio signal of the input audio signals from an environment; a signal input interface device configured to receive and transmit the input audio signal, wherein the input audio signal includes a mixture of one or more target audio signals; an audio signal processing device configured to process the input audio signal, wherein the audio signal processing device comprises: a hardware processor configured to connected to a memory, the memory configured to input/output data, wherein the hardware processor executes the steps of a module: accessing the module stored in the memory, such that the stored module transforms the input audio signal to obtain target audio signal estimates; 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; 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; 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 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 one or more of an error on the set of refined spectrograms, an error including a consistency measurement on the set of refined spectrograms, or an error on the target audio signal estimates.

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): 0.2746544344961844
- 35 USC 102 Novelty (BERT): 0.5081831117114232
- Combined Prediction Score: 0.2980073022177083
- Mean Citation Score: 248.615088
- Max Citation Score: 302.74066
- Similarity Product: 237.14216711934685

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