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draft [2009/07/15 13:56] ptacek |
draft [2009/07/15 14:10] ptacek |
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- | ====== | + | [[Progress Report]] |
- | + | ||
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- | Hi Marc, | + | |
- | + | ||
- | ... | + | |
- | + | ||
- | Re: progress: there is progress in the following: | + | |
- | + | ||
- | - evaluation of the ASR performance using the WoZ data (WP5.1) | + | |
- | - language model re-training for the collected dialogue data (using also data sources external to COMPANIONS) (WP5.1) | + | |
- | - implementation of the real-time speaker adaptation (WP5.1) | + | |
- | - additional dialogue transription for ASR is ongoing (WP52.? T5.2.1) | + | |
- | - DM has been transferred from USFD to Prague (WP5.3) | + | |
- | being extensively tested | + | |
- | - DAF editor transfer is complete (WP5.3) | + | |
- | - Sample dialogues (specifically aimed at the demo) | + | |
- | are ready - issues are being resolved between CU/ZCU | + | |
- | - DAFs are being prepared for the SC-CZ scenario AND | + | |
- | the sample dialogues | + | |
- | - DA set is being prepared, also based on the sample dialogues (WP5.2) | + | |
- | - preliminary DA tagger (on std DAMSL-SWBD tagset) working (~35% error rate) (WP5.2) | + | |
- | - | + | |
- | - integration work is ongoing (CU/ZCU, internally at CU) | + | |
- | but no functioning full demo yet (beyond what we've presented in Madrid) | + | |
- | + | ||
- | I hope this is OK for the progress report. Pavel (I.) might add more specifics regarding the ASR and especially TTS progress. | + | |
- | + | ||
- | Best, | + | |
- | + | ||
- | -- Jan | + | |
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features: za tohle bych vydaval klasifikator, | features: za tohle bych vydaval klasifikator, | ||
performance indicator: f-measure | performance indicator: f-measure | ||
+ | |||
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===== Complete System Evaluation ===== | ===== Complete System Evaluation ===== | ||
T5.2.7 tohle zminuje, nick webb to pro nas asi neudela | T5.2.7 tohle zminuje, nick webb to pro nas asi neudela | ||
- | performance indicator: number of tokens in user utterances, questionare | + | performance indicator: number of tokens in user utterances, |