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- W1559759876 abstract "Speech-source models indicate that event-synchronous feature analysis for a standard real-time speech recognizer (speaker trained using dynamic programming) should provide a strong basis for improved performance. Among the problems which need to be addressed in implementing such a system are those of developing robust event (pitch, burst, etc.) detectors, synchronous-analysis methodologies, more meaningful feature sets, and algorithms for recognition, e.g. dynamic programming. Descriptions of current approaches to these problems for a left-to-right, connected-word recognizer are given. The event-synchronous system's performance, relative to standard asynchronous recognition methodologies, is presented for an easy and a difficult vocabulary. >" @default.
- W1559759876 created "2016-06-24" @default.
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- W1559759876 date "2003-01-06" @default.
- W1559759876 modified "2023-09-24" @default.
- W1559759876 title "An event-synchronous signal processing system for connected-speech recognition" @default.
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- W1559759876 doi "https://doi.org/10.1109/icassp.1988.196575" @default.
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