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 6):
The computer-implemented method of  claim 5 , further comprising:\n training the acoustic model using previously processed audio data to identify inaccuracies in the acoustic model as a function of one or more of genres, acoustic properties, or customer-specific language.

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): 0.2372820198800539
- 35 USC 102 Novelty (BERT): 0.4929260335142153
- Combined Prediction Score: 0.2628464212434701
- Mean Citation Score: 130.47393
- Max Citation Score: 141.11688
- Similarity Product: 81.9454843826294

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