Assessment for automatic speech recognition: I. Comparison of assessment methods
| Autor: | Andrew Varga, Herman J. M. Steeneken |
|---|---|
| Rok vydání: | 1993 |
| Předmět: |
Linguistics and Language
Vocabulary Computer science business.industry Communication Speech recognition media_common.quotation_subject computer.software_genre Language and Linguistics Computer Science Applications Noise Bruit Modeling and Simulation Assessment methods medicine Computer Vision and Pattern Recognition Artificial intelligence medicine.symptom business computer Software Natural language processing media_common |
| Zdroj: | Speech Communication. 12:241-246 |
| ISSN: | 0167-6393 |
| DOI: | 10.1016/0167-6393(93)90094-2 |
| Popis: | The use of three types of vocabularies (cockpit-control words, digits, and initial consonants) was compared for the assessment of five speech recognizers. The goal of this study is to compare various assessment methods from application oriented to carefully controlled laboratory situations. It was found that the discrimination between various recognizer (input) conditions is improved for more difficult vocabularies. Confusions between stimuli and responses of testwords can be used as a diagnostic tool for prediction of performance and developments. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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