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 1):
A processor-implemented method for improving call centre audio transcription, the method comprising:\n deriving 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, via one or more hardware processors; extracting input parameters from the temporal information and the contextual information associated with the one or more first audio segments, via the one or more hardware processors; dynamically tuning 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, via the one or more hardware processors, the ASR engine capable of performing the audio-to-text conversion; and processing at least a second audio segment by using the tuned AM and LM for the audio-to-text conversion via the one or more hardware processors, the second audio segment occurring subsequent to the one or more first audio segments 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): 0.2735914531212668
- 35 USC 102 Novelty (BERT): 0.4698905327990231
- Combined Prediction Score: 0.2932213610890425
- Mean Citation Score: 190.425358
- Max Citation Score: 197.43593
- Similarity Product: 159.090875614773

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