SYSTEM AND METHOD OF AUTOMATED EVALUATION OF TRANSCRIPTION QUALITY

• US 20160365089A1
• Filed: 06/13/2016
• Published: 12/15/2016
• Est. Priority Date: 07/30/2013
• Status: Active Grant

• Current Assignee: Verint Systems Incorporated
• Original Assignee: Verint Systems Limited (Verint Systems Incorporated)
• Inventors: Sidi, Oana, Wein, Ron
• Granted Patent: US 9,747,890 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G10L 15/01 Assessment or evaluation of speech recognition systems
• CPC Class Codes: G10L 15/04 Segmentation; Word boundary detection
• CPC Class Codes: G10L 15/12 using dynamic programming techniques, e.g. dynamic time warping [DTW]
• CPC Class Codes: G10L 15/26 Speech to text systems G10L15/08 takes precedence

Abstract

Systems and methods automatedly evaluate a transcription quality. Audio data is obtained. The audio data is segmented into a plurality of utterances with a voice activity detector operating on a computer processor. The plurality of utterances are transcribed into at least one word lattice with a large vocabulary continuous speech recognition system operating on the processor. A minimum Bayes risk decoder is applied to the at least one word lattice to create at least one confusion network. At least conformity ratio is calculated from the at least one contusion network.

Claims

1. A method of automated evaluation of a transcription quality, the method comprising:

obtaining audio data;

segmenting the audio data into a plurality of utterances with a voice activity detector operating on a computer processor;

transcribing the plurality of utterances into at least one word lattice with a large vocabulary continuous speech recognition system operating on the processor;

applying, with the processor, a minimum Bayes risk decoder to the at least one word lattice to create at least one confusion network representing the at least one word lattice as a plurality sequential word bins and ε

-bins; and

calculating at least one confornlity ratio from the least one confusion network.

2-20. -20. (canceled)