| W97-0117 | 20-40 word report -RSB- . Today 's | automated speech recognition | systems , wh quite advanced , |
| P14-1123 | second language is the stage of | automated speech recognition | ( ASR ) . Automatic recognition |
| P13-2118 | scoring 42.31 % . Their focus on BN | automated speech recognition | ( ASR ) output , which precludes |
| J88-4015 | Lip Information to be Used in | Automated Speech Recognition | . " Selected Dissertation Abstracts |
| W14-1803 | as well as the output from an | automated speech recognition | ( ASR ) system . The ASR system |
| P04-3003 | generate confusion matrices from | automated speech recognition | requires the effort of collecting |
| N10-2008 | lessons make extensive use of | automated speech recognition | focused on learner language , |
| N10-1126 | subjects , each wizard viewed | automated speech recognition | ( ASR ) results for utterances |
| W01-0515 | issue in language modelling for | Automated Speech Recognition | is the sparse data problem ( |
| P94-1011 | extremely useful for such tasks as | automated speech recognition | , part-ofspeech tagging , and |
| W97-0117 | significant word error rates in | automated speech recognition | , in soi cases as high as 38 |
| W11-2027 | methods to compensate for poor | automated speech recognition | ( ASR ) , and complementary DM |
| W09-0701 | text corpora required to develop | automated speech recognition | ( ASR ) and text-to-speech ( |
| W15-4617 | Learning Center ) -RSB- <title> | Automated Speech Recognition | Technology for Dialogue Interaction |
| H94-1017 | ATIS ) \ -LSB- 8 \ -RSB- , and | automated speech recognition | ( CSR ) \ -LSB- 8 \ -RSB- . , |
| D09-1074 | The audio was processed through | automated speech recognition | ( ASR ) in order to produce ( |
| W14-1809 | robust to errors introduced by | automated speech recognition | ( p = 0.67 for human transcriptions |
| W06-3708 | a number of voice-independent | automated speech recognition | ( ASR ) engines , with the usage |
| E85-1035 | English New York 1979 <title> | AUTOMATED SPEECH RECOGNITION | : A FRAMEWORK FOR RESEARCH </title> |
| N13-1020 | real-time captioning has focused on | Automated Speech Recognition | ( ASR ) ( Saraclar et al. , 2002 |
