PATENT CLAIM ANALYSIS

Application Number: 16023455
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-02
Patent Classification: ["704", "232000"]

Abstract:
Techniques are provided for pre-processing enhancement of a speech signal. A methodology implementing the techniques according to an embodiment includes performing de-reverberation processing on signals received from an array of microphones, the signals comprising speech and noise. The method also includes generating time-frequency masks (TFMs) for each of the signals. The TFMs indicate the probability that a time-frequency component of the signal associated with that TFM element includes speech. The TFM generation is based on application of a recurrent neural network to the signals. The method further includes generating steering vectors based on speech covariance matrices and noise covariance matrices. The TFMs are employed to filter speech components of the signals, for calculation of the speech covariance, and noise components of the signals for calculation of the noise covariance. The method further includes performing beamforming on the signals, based on the steering vectors, to generate the enhanced speech signal.

Claim (Index 14):
The computer readable storage medium of  claim 13 , wherein the RNN comprises a first Affine layer with a hyperbolic tangent activation function, a second Affine layer with a hyperbolic tangent activation function, a third Long Short-Term Memory (LSTM) layer with a sigmoid activation function, a fourth Long Short-Term Memory (LSTM) layer with a sigmoid activation function, and a fifth Affine layer with a sigmoid activation function.

Metadata:
- Claim Count in Document: 9.0
- Percentile: 94.0
- Lexical Diversity: 2.30986
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15726730', '15613127', '15857811', '15379010', '15043341']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2653891937701482
- 35 USC 102 Novelty (BERT): 0.4992053859583244
- Combined Prediction Score: 0.2887708129889658
- Mean Citation Score: 158.194044
- Max Citation Score: 169.51656
- Similarity Product: 97.95607107802392

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