Title :
A novel word pre-selection method based on phonetic set indexing
Author :
Sarukkai, Ramesh R. ; Ballard, Dana H.
Author_Institution :
Dept. of Comput. Sci., Rochester Univ., NY, USA
Abstract :
The possibility of pre-fetching words using the phoneme sequence output of automatic speech recognition systems has been explored. A novel non-sequential indexing mechanism (termed phonetic set indexing) has been evaluated for the purpose of fast word pre-selection. Our approach to handling the lexical access problem stems from the primacy observation that the set of phonemes which are present in a transcription of a word is sparsely distributed across the vocabulary, and is thus suitable as an indexing key for retrieving a short list of word possibilities. The fixed dimensionality of the phonetic set representation also makes it suitable for implementation with compact bit strings, thus enabling fast lexical access using low-level bit operations
Keywords :
acoustic signal processing; speech recognition; automatic speech recognition systems; compact bit strings; indexing key; lexical access problem; low level bit operations; nonsequential indexing mechanism; phoneme sequence output; phonetic set indexing; phonetic set representation; vocabulary; word prefetching; word preselection method; word transcription; Automatic speech recognition; Computer science; Computer simulation; Databases; Dynamic programming; Indexing; Lattices; Neural networks; Speech recognition; Vocabulary;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on
Print_ISBN :
0-7803-3192-3
DOI :
10.1109/ICASSP.1996.543256