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 8):
The method of  claim 1 , further comprising:\n applying the input parameters to a plurality of LMs and a plurality of AMs; obtaining the ASR likelihood scores for each of the plurality of LMs and AMs corresponding to the each audio segment of the plurality of audio segments, the ASR likelihood scores indicative of processing capability of the respective LMs and AMs combination for the each audio segment; and selecting at least one of the LM/AM combination of the ASR engine based on the ASR likelihood score.

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): 0.2704317071456278
- 35 USC 102 Novelty (BERT): 0.4856840369636592
- Combined Prediction Score: 0.2919569401274309
- Mean Citation Score: 190.425358
- Max Citation Score: 197.43593
- Similarity Product: 136.0393360352099

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