Combination of Error Detection Techniques in Automatic Speech Transcription

Author:

Abida Kacem,Abida Wafa,Karray Fakhri

Publisher

Springer Berlin Heidelberg

Reference9 articles.

1. Shi, Y.: An investigation of linguistic information for speech recognition error detection, Ph.D. thesis, University of Maryland (2008)

2. Patwardhan, S., Pedersen, T.: Using wordnet-based context vectors to estimate the semantic relatedness of concepts. In: EACL 2006 Workshop Making Sense of Sense - Bringing Computational Linguistics and Psycholinguistics Together, pp. 1–8 (April 2006)

3. Cox, S., Dasmahapatra, S.: High-level approaches to confidence estimation in speech recognition. IEEE Transactions on Speech and Audio Processing 10(7), 460–471 (2002)

4. Inkpen, D., Desilets, A.: Semantic similarity for detecting recognition errors in automatic speech transcripts. In: HLT/EMNLP, pp. 49–56 (2005)

5. Voll, K.D.: A Methodology of error detection: Improving speech recognition in radiology, Ph.D. thesis, Simon Fraser University (2006)

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