5th International Conference on Spoken Language Processing
This paper presents a solution to the adverse environment, open microphone problem, by using the information stored in HMM output probability distributions to obtain a confidence measure of the results. This information can also be used to perform a secondary classification and improve recognition results. The system was tested on data from the TI46 database that had been corrupted by noise from the NOISEX-92 database, as well as on real-world data, and shows promising results.
Bibliographic reference. Thambiratnam, David / Sridharan, Sridha (1998): "Modeling of output probability distribution to improve small vocabulary speech recognition in adverse environments", In ICSLP-1998, paper 0308.