PATENT CLAIM ANALYSIS

Application Number: 15920003
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-03
Patent Classification: ["704", "235000"]

Abstract:
This disclosure relates generally to audio-to-text conversion for an audio conversation, and particularly to system and method for improving call-center audio transcription. In one embodiment, a method includes deriving temporal information and contextual information from an audio segment of an audio conversation corresponding to interaction of speakers, and input parameters are extracted from the temporal and contextual information associated with the audio segment. Language model (LM) and an acoustic model (AM) of an automatic speech recognition (ASR) engine are dynamically tuned based on the input parameters. A subsequent audio segment is processed by using the tuned AM and LM for the audio-to-text conversion.

Claim (Index 9):
A system for improving call-center audio transcription, the system comprising:\n at least one memory storing instructions; and one or more hardware processors coupled to said at least one memory, wherein said one or more hardware processors are configured by said instructions to:\n derive temporal information and contextual information from one or more first audio segments selected from a plurality of audio segments of the audio conversation corresponding to interaction of a plurality of speakers; \n extract input parameters from the temporal information and the contextual information associated with the one or more first audio segments; \n dynamically tune at least one of a language model (LM) and an acoustic model (AM) of an automatic speech recognition (ASR) engine based on the input parameters, the ASR engine capable of performing the audio-to-text conversion; and \n process at least a second audio segment by using the tuned AM and LM for the audio-to-text conversion, the second audio segment occurring subsequent to the one or more first audio segment in the audio conversation.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 90.0
- Lexical Diversity: 1.8125
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15254326', '13095388', '13886205', '15402070', '10910723']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2729958414914886
- 35 USC 102 Novelty (BERT): 0.4728552988376063
- Combined Prediction Score: 0.2929817872261003
- Mean Citation Score: 190.425358
- Max Citation Score: 197.43593
- Similarity Product: 154.75828540835738

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

Dataset: test