Method of active learning for automatic speech recognition
US8990084B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 10, 2014 |
| Grant date | Mar 24, 2015 |
| Priority date | — |
| Expiry date | Feb 10, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/063
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
State-of-the-art speech recognition systems are trained using transcribed utterances, preparation of which is labor-intensive and time-consuming. The present invention is an iterative method for reducing the transcription effort for training in automatic speech recognition (ASR). Active learning aims at reducing the number of training examples to be labeled by automatically processing the unlabeled examples and then selecting the most informative ones with respect to a given cost function for a human to label. The method comprises automatically estimating a confidence score for each word of the utterance and exploiting the lattice output of a speech recognizer, which was trained on a small set of transcribed data. An utterance confidence score is computed based on these word confidence scores; then the utterances are selectively sampled to be transcribed using the utterance confidence scores.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.