PATENT CLAIM ANALYSIS

Application Number: 15952330
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-10
Patent Classification: ["704", "232000"]

Abstract:
Systems and methods for a speech recognition system for recognizing speech including overlapping speech by multiple speakers. The system including a hardware processor. A computer storage memory to store data along with having computer-executable instructions stored thereon that, when executed by the processor is to implement a stored speech recognition network. An input interface to receive an acoustic signal, the received acoustic signal including a mixture of speech signals by multiple speakers, wherein the multiple speakers include target speakers. An encoder network and a decoder network of the stored speech recognition network are trained to transform the received acoustic signal into a text for each target speaker. Such that the encoder network outputs a set of recognition encodings, and the decoder network uses the set of recognition encodings to output the text for each target speaker. An output interface to transmit the text for each target speaker.

Claim (Index 3):
The speech recognition system of  claim 1 , wherein the encoder network includes a mixture encoder network, a set of speaker-differentiating encoder networks, and a recognition encoder network, such that a number of speaker-differentiating encoder networks is equal to, or larger than, a number of target speakers, wherein the mixture encoder network outputs a mixture encoding for the received acoustic signal, each speaker-differentiating encoder network outputs a speaker-differentiated encoding from the mixture encoding, and the recognition encoder network outputs a recognition encoding from each speaker-differentiated encoding.

Metadata:
- Claim Count in Document: 48.0
- Percentile: 91.0
- Lexical Diversity: 2.25714
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15843047', '15843055', '15940246', '15934566', '14976078']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3050119282418529
- 35 USC 102 Novelty (BERT): 0.5202746703840438
- Combined Prediction Score: 0.326538202456072
- Mean Citation Score: 268.45359399999995
- Max Citation Score: 330.82486
- Similarity Product: 252.4804802119076

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