Name
Title | ||
|---|---|---|
A transcription-based approach to determine the difficulty of a speech recognition task |
Abstract | ||
|---|---|---|
A new parameter for estimating the difficulty of a continuous speech recognition task, called speech decoding difficulty, is presented. It is obtained from the language model defined for the recognition task and the phonetic similarity between the transcriptions of the words that make up the vocabulary used. Two variants of the proposed task difficulty measure are introduced: ideal speech decoding difficulty (ISDD), which is not influenced by practical considerations on the recognition system implemented, and a second, more realistic variant, called practical speech decoding difficulty (PSDD) to study the performance of a specific recognition system when confronting a given task |
Year | DOI | Venue |
|---|---|---|
1999 | 10.1109/89.759043 | Speech and Audio Processing, IEEE Transactions |
Keywords | Field | DocType |
decoding,parameter estimation,speech coding,speech recognition,continuous speech recognition task difficulty,ideal speech decoding difficulty,language model,parameter estimation,phonetic similarity,practical speech decoding difficulty,recognition system performance,transcription-based approach,vocabulary | Speech processing,Transcription (linguistics),Speech coding,Computer science,Word error rate,Phonetics,Speech recognition,Artificial intelligence,Natural language processing,Decoding methods,Vocabulary,Language model | Journal |
Volume | Issue | ISSN |
7 | 3 | 1063-6676 |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| P. García | 1 | 51 | 12.63 |
| A. J. Rubio | 2 | 149 | 17.85 |
| Diaz-Verdejo, J. | 3 | 0 | 0.34 |
| M. C. Benitez | 4 | 0 | 0.34 |
| J. M. Lopez-Soler | 5 | 0 | 0.34 |