Keyword-spotting using SRI's DECIPHER large-vocabulary speech-recognition system
- 1 January 1993
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 2, 463-466 vol.2
- https://doi.org/10.1109/icassp.1993.319341
Abstract
The application of the speaker-independent large-vocabulary CSR (continuous speech recognition) system DECIPHER to the keyword-spotting task is described. A transcription is generated for the incoming spontaneous speech by using a CSR system, and any keywords that occur in the transcription are hypothesized. It is shown that the use of improved models of nonkeyword speech with a CSR system can yield significantly improved keyword spotting performance. The algorithm for computing the score of a keyword combines information from acoustics, language, and duration. One key limitation of this approach is that keywords are only hypothesized if they are included in the Viterbi backtrace. This does not allow the system builder to operate effectively at high false alarm levels if desired. Other algorithms are being considered for hypothesizing good score keywords that are on high scoring paths. An algorithm for smoothing language model probabilities was also introduced. This algorithm combines small task-specific language model training data with large task-independent language training data, and provided a 14% reduction in test set perplexity.Keywords
This publication has 10 references indexed in Scilit:
- Continuous hidden Markov modeling for speaker-independent word spottingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- A hidden Markov model based keyword recognition systemPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Reduced channel dependence for speech recognitionPublished by Association for Computational Linguistics (ACL) ,1992
- Spontaneous speech effects in large vocabulary speech recognition applicationsPublished by Association for Computational Linguistics (ACL) ,1992
- SWITCHBOARD: telephone speech corpus for research and developmentPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1992
- Training and search algorithms for an interactive wordspotting systemPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1992
- Speech recognition in SRI's resource management and ATIS systemsPublished by Association for Computational Linguistics (ACL) ,1991
- Improvements and applications for key word recognition using hidden Markov modeling techniquesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1991
- Automatic recognition of keywords in unconstrained speech using hidden Markov modelsIEEE Transactions on Acoustics, Speech, and Signal Processing, 1990
- Estimation of probabilities from sparse data for the language model component of a speech recognizerIEEE Transactions on Acoustics, Speech, and Signal Processing, 1987