PATENT CLAIM ANALYSIS

Application Number: 15922495
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-05
Patent Classification: ["704", "231000"]

Abstract:
Techniques for automated speech recognition (ASR) are described. A user can upload an audio file to a storage location. The user then provides the ASR service with a reference to the audio file. An ASR engine analyzes the audio file, using an acoustic model to divide the audio data into words, and a language model to identify the words spoken in the audio file. The acoustic model can be trained using audio sentence data, enabling the transcription service to accurately transcribe lengthy audio data. The results are punctuated and normalized, and the resulting transcript is returned to the user.

Claim (Index 1):
A computer-implemented method comprising:\n receiving, by a provider network, a request to perform automated speech recognition (ASR), the request including a reference to an audio file; authorizing the request with an authorization service using account data associated with the request; provisioning a decoder instance to generate a transcript of the audio file, the decoder instance including an ASR engine and a language model, the decoder instance deployed to a private network in the provider network; providing, using the reference, a copy of the audio file to the decoder instance; generating a transcript of the audio file by the ASR engine using the language model and the copy of the audio file; deprovisioning the decoder instance after determining that the transcript is complete; and returning a reference to the transcript of the audio file.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 90.0
- Lexical Diversity: 1.85
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15861064', '14319902', '14516233', '14286724', '15900597']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2386644187676106
- 35 USC 102 Novelty (BERT): 0.485864393916399
- Combined Prediction Score: 0.2633844162824895
- Mean Citation Score: 130.47393
- Max Citation Score: 141.11688
- Similarity Product: 87.50575600287438

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test