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 13):
The system of  claim 11 , wherein the audio information parameters extracted from the temporal and contextual information are used to dynamically tune the AM.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 90.0
- Lexical Diversity: 1.8125
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15254326', '13095388', '13886205', '15402070', '10910723']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2969757564534439
- 35 USC 102 Novelty (BERT): 0.4762829033244144
- Combined Prediction Score: 0.314906471140541
- Mean Citation Score: 190.425358
- Max Citation Score: 197.43593
- Similarity Product: 153.09985436287403

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