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Experiments in Spoken Document Retrieval using Phoneme N-grams (2000)
| Content Provider | CiteSeerX |
|---|---|
| Author | Ng, Corinna Wilkinson, Ross Zobel, Justin |
| Abstract | In spoken document retrieval, speech recognition is applied to a collection to obtain either words or subword units, such as phonemes, that can be matched against queries. We have explored retrieval based on phoneme n-grams. The use of phonemes addresses the out-of-vocabulary problem, while use of n-grams allows approximate matching on inaccurate phoneme transcriptions. Our experiments explored the utility of word boundary information, stop word elimination, query expansion, varying the length of phoneme sequences to be matched and, various combinations of n-grams of different lengths. |
| File Format | |
| Volume Number | 32 |
| Journal | Speech Communication, Vol |
| Language | English |
| Publisher Date | 2000-01-01 |
| Access Restriction | Open |
| Subject Keyword | Phoneme N-grams Spoken Document Retrieval Speech Recognition Word Elimination Inaccurate Phoneme Transcription Different Length Phoneme Sequence N-grams Allows Out-of-vocabulary Problem Word Boundary Information Query Expansion Various Combination |
| Content Type | Text |
| Resource Type | Article |
