Interspeech'2005 - Eurospeech

Lisbon, Portugal
September 4-8, 2005

Using Output Probability Distribution for Improving Speech Recognition in Adverse Environment

Shilei Huang, Xiang Xie, Jingming Kuang

Beijing Institute of Technology, China

This paper proposed a method to improve the accuracy of small vocabulary isolated word speaker-independent speech recognition in adverse environment. The proposed approach is implemented by using Output Probability Distributions (OPDs) and Support Vector Machine (SVM). OPDs improve the system performance by modeling inter-word relationships; then SVM classifiers are used to discriminate the difference between OPD models. The system was tested using isolated Mandarin digits database, corrupted with the NOISEX-92 database. The experiments have achieved good result in noise conditions, the WER dropped about 30% on average when compared to the HMM recognizer.

Full Paper

Bibliographic reference.  Huang, Shilei / Xie, Xiang / Kuang, Jingming (2005): "Using output probability distribution for improving speech recognition in adverse environment", In INTERSPEECH-2005, 929-932.