2005 ConfidenceMeasuresforSpeechReco
- (Jiang, 2005) ⇒ Hui Jiang. (2005). “Confidence Measures for Speech Recognition: A Survey.” In: Speech Communication, 45(4). doi:10.1016/j.specom.2004.12.004
Subject Headings: Automatic Speech Recognition; Confidence Measure; Utterance Verification; Likelihood ratio Test
Notes
Cited By
Quotes
Author Keywords
- Automatic speech recognition (ASR); Confidence measures (CM); Word posterior probability; Utterance verification; Likelihood ratio testing (LRT); Bayes factors
Abstract
In speech recognition, confidence measures (CM) are used to evaluate reliability of recognition results. A good confidence measure can largely benefit speech recognition systems in many practical applications. In this survey, I summarize most research works related to confidence measures which have been done during the past 10–12 years. I will present all these approaches as three major categories, namely CM as a combination of predictor features, CM as a posterior probability, and CM as utterance verification. Then, I also introduce some recent advances in the area. Moreover, I will discuss capabilities and limitations of the current CM techniques and generally comment on todayÕs CM approaches. Based on the discussion, I will conclude the paper with some clues for future works.
References
,
| Author | volume | Date Value | title | type | journal | titleUrl | doi | note | year | |
|---|---|---|---|---|---|---|---|---|---|---|
| 2005 ConfidenceMeasuresforSpeechReco | Hui Jiang | Confidence Measures for Speech Recognition: A Survey | 10.1016/j.specom.2004.12.004 |